Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 124
Filter
1.
Kexue Tongbao/Chinese Science Bulletin ; JOUR(30):3565-3579, 67.
Article in Chinese | Scopus | ID: covidwho-2098648

ABSTRACT

As emerging pollutants, microplastics (MPs) are widely distributed in water, soil and atmosphere, and have become a popularly concerned environmental and social issue. The research on atmospheric microplastics (AMPs) started later than that on the MPs in soil and water, but AMPs’ potential environmental impacts are explored in an even wider range. Based on the literatures on AMPs since 2015 as well as those about MPs in water and soil, this paper systematically reviews the distribution, source, transport of AMPS and the environmental and ecological impacts of AMPs. The results show that AMPs are distributed in global atmosphere, and have been detected in the atmosphere of urban, suburban, remote areas and indoor air. The concentrations of AMPs were detected in a range 2 to 77000 n m–2 d–1 or 0 to 1583 n m–3. The distribution characteristics of MPs in atmosphere are affected by environmental factors such as indoor and outdoor environment, underlying surface type and airflow, etc. In general, the concentration and the diversity of AMPs’ shape and composition are higher in the places near to MPs the source, but the wind, precipitation and even local animals could reshape the characters of AMPs. The sources of AMPs are mainly the production, use and recycling processes of plastic products, as well as land and sea where MPs accumulated. Studies also showed that abrasion of vehicle tires and the use of synthetic textile are major sources. What’s noteworthy is that the COVID-19 pandemic has made masks as necessities of life, which indirectly exacerbated the pollution of AMPs. The transport of MPs can occur in atmospheric environment, such as suspension, deposition and diffusion, and is affected by the morphology of MPs, wind direction, precipitation and other atmospheric factors. The diffusion of MPs in atmosphere, also known as atmospheric transport, is an important part of the global plastic cycle. AMPs’ transport path is mostly studied of Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) by conducting backward trajectory simulation, and their transport volume is estimated mainly through deposition and aerodynamic model. In addition, AMPs have unique physical and chemical properties, which can affect regional atmospheric environmental quality, change regional and global climate. It could also adsorb heavy metals, organic pollutants and harmful microorganisms during transport, resulting in greater health risks to human. Also, AMPs could affect atmospheric ecosystems through food chains and providing microbial niches, and alter structure and functions of terrestrial forest and water ecosystems through deposition. There are still some unsolved scientific and technical questions. Due to the lack of standardized sampling and identification means, the past research methods on AMPs are different on sampling and physical analysis, which make information comparison difficult. The observations of AMPs’ environmental behaviors, the atmospheric transport, source attribution and trans-regional effects of AMPs are still limited. Therefore, some conclusions from laboratory researches cannot fully explain the uncertainty of in natural environment. Based on the analysis, it is suggested that future scientific research on AMPs should focus on standardization of research methods, the establishment of source list, transport mechanism and environmental and ecological impacts. It is necessary for the study of AMPs to establish a set of scientifically credible and technically feasible monitoring techniques as well. Because AMPs could be transported to different ecosystems and could enter the human body through a variety of ways, it is urgent to study the physiological and ecological status of human body and ecosystems which are continuously exposed to AMPs pollution. © 2022 Chinese Academy of Sciences. All rights reserved.

2.
ACS ES T Water ; JOUR
Article in English | PubMed Central | ID: covidwho-2096629

ABSTRACT

Ruili and Longchuan, two border counties in southwestern China, are facing epidemic control challenges due to the high rate of COVID-19 infections originating from neighboring Myanmar. Here, we aimed to establish the applicability of wastewater and environmental water surveillance of SARS-CoV-2 and conduct whole-genome sequencing (WGS) to trace the possible infection origin. In August 2021, total 72 wastewater and river water samples were collected from 32 sampling sites. SARS-CoV-2 ORF1ab and N genes were measured by RT-qPCR. We found that 19 samples (26.39%) were positive, and the viral loads of ORF1ab and N genes were 6.62 × 102–2.55×105 and 1.86 × 103–2.32 × 105 copies/L, respectively. WGS further indicated the sequences in two transboundary river samples, and one hospital wastewater sample belonged to the delta variant, suggesting that the infection source might be areas with high COVID-19 delta variant incidence in Southeast Asia (e.g., Myanmar). We reported for the first time the detection and quantification of SARS-CoV-2 RNA in the transboundary rivers of Myanmar–China. Our findings demonstrate that wastewater and environmental water may provide independent and nonintrusive surveillance points to monitor the global spread of emerging COVID-19 variants of concern, particularly in high-risk regions or border areas with considerable epidemic challenges and poor wastewater treatment facilities.

4.
Journal of Ethnopharmacology ; : 115833, 2022.
Article in English | MEDLINE | ID: covidwho-2076372

ABSTRACT

ETHNOPHARMACOLOGICAL RELEVANCE: Acute lung injury (ALI) is a common manifestation of COVID-19. Xuanfei Baidu Formula(XFBD) is used in China to treat mild or common damp-toxin obstructive pulmonary syndrome in COVID-19 patients. However, the active ingredients of XFBD have not been extensively studied, and its mechanism of action in the treatment of ALI is not well understood.

5.
Journal of Translational Internal Medicine. ; 2022.
Article in English | EMBASE | ID: covidwho-2065373

ABSTRACT

The pandemic coronavirus disease 2019 (COVID-19) has rapidly spread to all countries worldwide. The emergence of its variants has exacerbated this problem. To date, many variants have been identified across the viral genome;the variants of concern are the focus of attention due to their higher transmissibility and resistance to vaccines, especially the delta variant. The delta variant has become the dominant severe acute respiratory syndrome novel coronavirus (SARS-CoV-2) variant worldwide, causing severe panic as it is highly infectious. A better understanding of these variants may help in the development of possible treatments and save more lives. In this study, we summarize the characteristics of the variants of concern. More importantly, we summarize the results of previous studies on the delta variant. The delta variant has a high transmissibility rate and increases the risk of hospitalization and death. However, it is partially sensitive to vaccines. In addition, nonpharmaceutical interventions are valuable during epidemics. These interventions can be used against the delta variant, but managing this variant should still be taken seriously. Copyright © 2022 Meng Zhang, Yanchao He, Zhijun Jie, published by Sciendo 2022.

6.
25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 ; 13431 LNCS:506-516, 2022.
Article in English | Scopus | ID: covidwho-2059725

ABSTRACT

Detailed modeling of the airway tree from CT scan is important for 3D navigation involved in endobronchial intervention including for those patients infected with the novel coronavirus. Deep learning methods have the potential for automatic airway segmentation but require large annotated datasets for training, which is difficult for a small patient population and rare cases. Due to the unique attributes of noisy COVID-19 CTs (e.g., ground-glass opacity and consolidation), vanilla 3D Convolutional Neural Networks (CNNs) trained on clean CTs are difficult to be generalized to noisy CTs. In this work, a Collaborative Feature Disentanglement and Augmentation framework (CFDA) is proposed to harness the intrinsic topological knowledge of the airway tree from clean CTs incorporated with unique bias features extracted from the noisy CTs. Firstly, we utilize the clean CT scans and a small amount of labeled noisy CT scans to jointly acquire a bias-discriminative encoder. Feature-level augmentation is then designed to perform feature sharing and augmentation, which diversifies the training samples and increases the generalization ability. Detailed evaluation results on patient datasets demonstrated considerable improvements in the CFDA network. It has been shown that the proposed method achieves superior segmentation performance of airway in COVID-19 CTs against other state-of-the-art transfer learning methods. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

7.
4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022 ; : 1084-1087, 2022.
Article in English | Scopus | ID: covidwho-2052013

ABSTRACT

Since the outbreak of the COVID-19, comprehensive and thorough environmental disinfection is a very important issue. In order to reduce personnel contact and reduce the risk of cross-infection, this paper designs an indoor disinfecting intelligent robot that can realize large-scale combined disinfection of disinfectant and ultraviolet. The whole system comprises of five main parts: control center, running control module, disinfection module, information processing module, and power module. The control center mainly adopts ESP32micro-controller to achieve the connection and control of all parts of the system. The running control module mainly controls the forward, backward, and rotation of the device and ensures that the system follows the expected path during the disinfection. The disinfection module uses liquid disinfectant and ultraviolet irradiation to inhibit the bacteria and kill COVID-19. Information processing module is responsible for the information interaction between the system and the data center. The proposed system transmits data through Wi-Fi and MQTT protocol, and realizes basic functions such as positioning, path planning, and disinfection. The proposed system can effectively solve the problem of personal contact and infection in the process of manual disinfection and have nice application value. © 2022 IEEE.

8.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022 ; 2022-June:2154-2163, 2022.
Article in English | Scopus | ID: covidwho-2051958

ABSTRACT

The growing need for technology that supports remote healthcare is being acutely highlighted by an aging population and the COVID-19 pandemic. In health-related machine learning applications the ability to learn predictive models without data leaving a private device is attractive, especially when these data might contain features (e.g., photographs or videos of the body) that make identifying a subject trivial and/or the training data volume is large (e.g., uncompressed video). Camera-based remote physiological sensing facilitates scalable and low-cost measurement, but is a prime example of a task that involves analysing high bit-rate videos containing identifiable images and sensitive health information. Federated learning enables privacy-preserving decentralized training which has several properties beneficial for camera-based sensing. We develop the first mobile federated learning camera-based sensing system and show that it can perform competitively with traditional state-of-the-art supervised approaches. However, in the presence of corrupted data (e.g., video or label noise) from a few devices the performance of weight averaging quickly degrades. To address this, we leverage knowledge about the expected noise profile within the video to intelligently adjust how the model weights are averaged on the server. Our results show that this significantly improves upon the robustness of models even when the signal-to-noise ratio is low. © 2022 IEEE.

9.
3rd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents, EEKE 2022 ; 3210:127-130, 2022.
Article in English | Scopus | ID: covidwho-2044870

ABSTRACT

To support the development of entity recognition tools, this study manually annotates 99 full-text articles about COVID-19. Each article is annotated by 6 annotators through two rounds. 18 types of entity are involved, including genes, diseases, chemicals, coronaviruses and so on. We also calculate the inter-annotator agreement (IAA) scores in term of multi-κ measure to ensure the quality of the annotations. In the end, 39, 118 entity mentions are manually annotated in total. © Copyright 2022 for this paper by its authors.

10.
Proceedings of the 2022 International Conference on Management of Data (Sigmod '22) ; : 2405-2408, 2022.
Article in English | Web of Science | ID: covidwho-2042881

ABSTRACT

The prevalence of misinformation, both online and offline, has prompted a great demand of fact verification. Table-based fact verification aims to check whether a textual claim is supported or refuted based on relational tables. However, most of the existing approaches are in a closed-domain setting, which may not be realistic in practice. To address this problem, in this paper, we introduce OPENTFV, a user-friendly system that supports open domain table-based fact verification. Given a claim input by an end-user, OPENTFV retrieves the relevant tables, and provides a verification result for each table with an intuitive interpretation in natural language. We have implemented OPENTFV and demonstrated OPENTFV in two representative scenarios, COVID-19 claims fact verification based on academic tables and general fact verification on Wiki-tables.

11.
Frontiers in Environmental Science ; 10, 2022.
Article in English | Web of Science | ID: covidwho-2022692

ABSTRACT

Improving green energy efficiency (GEE) and promoting green economic transformation are important goals for China to achieve sustainable economic development in the post-COVID-19 era. Based on panel data of 27 manufacturing industries in China, this paper uses GMM model and threshold model to study the impact of environmental regulation and technological innovation on green energy efficiency. Our findings show that technological innovation promotes green energy efficiency in both pollution-intensive and clean industries, and its promotion effect is more pronounced in pollution-intensive industries. Environmental regulation not only directly improves the green energy efficiency of polluting industries and clean industries, but also plays a positive intermediary role between technology and green energy efficiency. The impact of technological innovation on GEE has a threshold effect of environmental regulation. When environmental regulation did not cross the threshold, technological innovation does not significantly promote GEE. The promotion effect of technological innovation on GEE will increase with the strengthening of environmental supervision. Therefore, the government should formulate reasonable environmental regulations according to the industry heterogeneity to vigorously promote the green energy efficiency of the manufacturing industry.

12.
8th International Conference on Information Management, ICIM 2022 ; : 1-5, 2022.
Article in English | Scopus | ID: covidwho-2018847

ABSTRACT

With the advancement of global aging, the imbalance of informatization leads to the digital divide becoming more evident among the elderly. COVID-19 forces various information services to be transferred to the Internet. The elderly cannot fully integrate into Internet life due to physical and psychological factors, thus making it difficult to enjoy the convenient and efficient services brought by the Internet, which may lead to serious social problems. In recent years, the digital divide among the elderly has been widely concerned by researchers, and the related research publications are increasing. However, there is no review literature at present. This study aims to make a comprehensive and systematic bibliometric analysis of the research topics, including a co-word knowledge map and references co-citation network to focus on the knowledge evolution trend related to research directions of the topic. This study is committed to identifying present research foci and frontier trends that are beneficial to subsequent research. © 2022 IEEE.

13.
Innovation in Aging ; 5:534-534, 2021.
Article in English | Web of Science | ID: covidwho-2011379
14.
Frontiers in Microbiology ; 13, 2022.
Article in English | EMBASE | ID: covidwho-2009886

ABSTRACT

Human endogenous retroviruses (HERVs) originated from ancient retroviral infections of germline cells millions of years ago and have evolved as part of the host genome. HERVs not only retain the capacity as retroelements but also regulate host genes. The expansion of HERVs involves transcription by RNA polymerase II, reverse transcription, and re-integration into the host genome. Fast progress in deep sequencing and functional analysis has revealed the importance of domesticated copies of HERVs, including their regulatory sequences, transcripts, and proteins in normal cells. However, evidence also suggests the involvement of HERVs in the development and progression of many types of cancer. Here we summarize the current state of knowledge about the expression of HERVs, transcriptional regulation of host genes by HERVs, and the functions of HERVs in reverse transcription and gene editing with their reverse transcriptase.

15.
IEEE Transactions on Engineering Management ; : 1-14, 2022.
Article in English | Scopus | ID: covidwho-1992678

ABSTRACT

Understanding the resilience capabilities of restaurant operations and the determinants affecting these capabilities is critical to helping restaurants overcome the hardships owing to the coronavirus disease (COVID-19) pandemic. This article adopts a textual analytics approach to scientifically measure consumption trends and identify the shock to restaurant sales using online customer review data from Dianping.com (an O2O platform in China). Moreover, the article proposes a theoretical model of business resilience for the restaurant industry in the context of the pandemic. Then, an empirical investigation on how the determinants in our theoretical framework affect the resilience of restaurant business operations using the panel logit model is conducted. Our findings indicate that the pandemic has severely disrupted the full-service restaurants as compared to the quick-service restaurants. We identify four determinants of resilience, namely social capital (i.e., restaurant rating), physical capital (i.e., contactless service), economic capital (i.e., chain operation), and natural capital (e.g., location), which are significantly associated with the resilience of restaurant business during the pandemic. These four determinants play different roles in the resilience of full-service and quick-service restaurants. The findings of this study have theoretical contribution and generate some important managerial implications for helping the restaurant industry recover from disruptions brought by the COVID-19 pandemic. IEEE

16.
Environmental Science-Nano ; : 10, 2022.
Article in English | Web of Science | ID: covidwho-1978025

ABSTRACT

Since the emergence of coronavirus disease 2019 (COVID-19), this highly contagious disease has ravaged the world, cumulatively causing millions of deaths and huge economic losses. As the culprit of COVID-19, severe acute respiratory syndrome beta-coronavirus 2 (SARS-CoV-2) is highly infectious and pathogenic, which has caused extreme panic worldwide. Early and rapid monitoring of SARS-CoV-2 has a significant role in suppressing the pandemic and reducing the virus's lethality. In our work, we prepared a self-enhanced ruthenium complex linked to zeolitic imidazole framework-8 (ZIF-8) and used it as an electrochemiluminescence (ECL) emitter. Additionally, a double-stranded specific nuclease (DSN)-assisted target RNA cycling with catalytic hairpin assembly (CHA) signal amplification technology was used to achieve the conversion of target RNA concentration to double-stranded DNA (dsDNA) output which significantly improved the detection sensitivity of target RNA under environmental conditions and in real human serum samples. In addition, we also combined the trans-cleavage property of CRISPR-Cas12a with the adsorption property of C3N4 on a ferrocene (Fc)-labeled DNA probe and obtained target RNA-dependent ECL signals. The reliable detection protocol achieved the transformation of SARS-CoV-2 RNA concentration to ECL responses, obtaining a limit of detection (LOD) of 0.67 fM with high specificity and reproducibility, which was of guiding significance for current detection methods of mutant SARS-CoV-2 and universal RNA.

17.
Clinical and Experimental Allergy ; 52(8):999-1000, 2022.
Article in English | Web of Science | ID: covidwho-1976077
18.
Eur Rev Med Pharmacol Sci ; 26(14): 5255-5263, 2022 07.
Article in English | MEDLINE | ID: covidwho-1975726

ABSTRACT

OBJECTIVE: Vaccination is an important method for preventing COVID-19 infection. However, certain vaccines do not meet the current needs. To improve the vaccine effect, discard ineffective antigens, and focus on high-quality antigenic clusters, S1-E bivalent antigens were designed. MATERIALS AND METHODS: Vaccine delivery is performed using poly (lactic-co-glycolic acid) (PLGA). Here, the recombinant S1-E (rS1-E) was covered on PLGA and injected intramuscularly into mice. In total, 48 BALB/c mice were randomly divided into six groups with 8 mice in each group. The mice received intramuscular injections. Prior to vaccination, the hydrophobicity of the rS1-E and the antigenic site of the E protein were both analysed. The morphology, zeta potential, and particle size distribution of rS1-E-PLGA were examined. Anti-S1 and anti-E antibodies were detected in mouse serum by ELISA. Neutralising an-tibodies were detected by co-incubating the pseudovirus with the obtained serum. IL-2 and TNF-α levels were also measured. RESULTS: The designed recombinant S1-E protein was successfully coated on PLGA nanoparticles. rS1-E-PLGA nanovaccine has suitable size, shape, good stability, sustained release and other characteristics. Importantly, mice were stimulated with rS1-E-PLGA nanovaccines to produce high-titre antibodies and a good cellular immune response. CONCLUSIONS: Our results indicate that rS1-E-PLGA nanovaccine may provide a good protective effect, and the vaccine should be further investigated in human clinical trials for use in vaccination or as a booster.


Subject(s)
COVID-19 , Nanoparticles , Vaccines , Animals , Antigens , COVID-19/prevention & control , Eye Proteins , Humans , Mice , Mice, Inbred BALB C , Polylactic Acid-Polyglycolic Acid Copolymer , SARS-CoV-2
19.
IEEE Internet of Things Journal ; : 1-1, 2022.
Article in English | Scopus | ID: covidwho-1961406

ABSTRACT

Distributed Spatial Cloaking () enables users to enjoy precise Location-Based Service (LBS) with location privacy-preserving. An incentive mechanism is necessary to encourage users to cooperate. However, due to the inappropriate design of incentive mechanisms, the existing works cause low user benefits and fail to encourage users, ruining the expected incentive effect. Moreover, introducing a third party to manage users’information also causes the existing works to disclose users’privacy and be unpractical. To address these issues, we propose a utility-awaRe incEntive mechanism based diStributed spATial cloaking (RESAT). By the idea of utility theory and optimization theory, RESAT devises basic and extended incentive mechanisms. The two mechanisms for assuming that all users are honest and that malicious users provide unreasonable locations. RESAT proposes an incentive mechanism-based cloaking cooperation without a third party, incorporating the developed mechanisms based on the blind signature. Theoretical analysis indicates that RESAT achieves incentive compatibility and is secure. Extensive experiments on the real dataset show that compared with the existing works, RESAT enables 1 time more users to cooperate at best while eliminating the malicious behaviors that provide unreasonable locations. The required construction time delay is limited. IEEE

20.
Public Health ; 211: 157-163, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-1937097

ABSTRACT

OBJECTIVE: Coronavirus disease 2019 (COVID-19) has brought great uncertainty to our society and it may have disrupted people's ontological security. Consequently, this hospital-based study concerns the impact of ontological insecurity on vaccination behavior against COVID-19. STUDY DESIGN: This cross-sectional study was conducted among hospital inpatients. METHODS: A questionnaire survey addressing inpatient ontological insecurity and vaccination behavior against COVID-19 was administered in Taizhou, China. A total of 1223 questionnaires were collected; specifically, 1185 of them were credible, for a validity rate of 96.9%. RESULTS: The score of ontological insecurity was 13.27 ± 7.84, which was higher in participants who did not recommend vaccination for others than those who did (12.95 ± 8.25 vs 14.00 ± 6.78, P = 0.022). There was no difference between the vaccinated and unvaccinated groups (13.22 ± 7.96 vs 13.35 ± 7.67, P = 0.779). Lower ontological insecurity (odds ratio [OR] = 1.40, 95% confidence interval [CI]: 1.08-1.81) and being inoculated with COVID-19 vaccines (OR = 2.17, 95% CI: 1.67-2.82) were significantly associated with recommendation of COVID-19 vaccines to others after adjusting for sex, age, education, and occupation. Associations between low ontological insecurity and recommendations for COVID-19 vaccines were observed in men, adults aged 18-59 years, non-farmers, and vaccine recipients. CONCLUSIONS: This study suggests that the ontological insecurity of participants affects their behavior of recommending the COVID-19 vaccination to others rather than getting vaccinated themselves. This promotion of vaccination can be considered from the perspective of improving ontological security in China.


Subject(s)
COVID-19 , Adult , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Vaccines/therapeutic use , Cross-Sectional Studies , Hospitals , Humans , Male , Vaccination
SELECTION OF CITATIONS
SEARCH DETAIL