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1.
Frontiers in Immunology ; 13:923286, 2022.
Article in English | MEDLINE | ID: covidwho-2029962

ABSTRACT

Objectives: A major challenge for COVID-19 therapy is dysregulated immune response associated with the disease. Umbilical cord mesenchymal stromal cells (UC-MSCs) may be a promising candidate for COVID-19 treatment owing to their immunomodulatory and anti-inflammatory functions. Therefore, this study aimed to evaluate the effectiveness of UC-MSCs inpatients with COVID-19. Method: Medline, Embase, PubMed, Cochrane Library, and Web of Science databases were searched to collect clinical trials concerning UC-MSCs for the treatment of COVID-19. After literature screening, quality assessment, and data extraction, a systematic review and meta-analysis of the included study were performed. Results: This systematic review and meta-analysis were prospectively registered on PROSPERO, and the registration number is CRD42022304061. After screening, 10 studies involving 293 patients with COVID-19 were eventually included. Our meta-analysis results showed that UC-MSCs can reduce mortality (relative risk [RR] =0.60, 95% confidence interval [CI]: [0.38, 0.95], P=0.03) in COVID-19 patients. No significant correlation was observed between adverse events and UC-MSC treatment (RR=0.85, 95% CI: [0.65, 1.10], P=0.22;RR=1.00, 95%CI: [0.64, 1.58], P=1.00). In addition, treatment with UC-MSCs was found to suppress inflammation and improve pulmonary symptoms. Conclusions: UC-MSCs hold promise as a safe and effective treatment for COVID-19. Systematic Review Registartion: PROSPERO, identifier CRD42022304061.

2.
Journal of Xi'an Jiaotong University (Medical Sciences) ; 43(5):797-801, 2022.
Article in Chinese | EMBASE | ID: covidwho-2010485

ABSTRACT

Objective: To compare the clinical features of Omicron and Delta cases, so as to provide scientific basis for the prevention and treatment of COVID-19. Methods: The case-control study method was used to retrospectively analyze the clinical data of the Omicron cases admitted to the designated hospital for the treatment of COVID-19 in Xi'an from December 2021 to January 2022. and the Delta cases admitted during the same period were used as the control group. The demographic data, epidemiological history, vaccination status, clinical characteristics, laboratory tests, nucleic acid and antibody levels, and outcomes of patients in the two groups were collected and compared. Results: A total of 21 patients were included in the study, 5 were Omicron patients and 16 were Delta cases. The mean age of the patients in the two groups were (38.20±15.07) and (37.69±10.39) years, respectively.The time interval between the last vaccination and the diagnosis was (145.40±77.92) days and (159.00±99.74) days, respectively. For the initial symptoms, the patients with Omicron were mainly characterized by throat discomfort (3, 60%), cough and sputum (2, 40%), and the patients with Delta were mainly characterized by throat discomfort (5, 31.25%), fatigue (5, 31.25%), cough and sputum (4, 25%). On admission, laboratory tests showed that 60% of Omicron patients had low lymphocytes and elevated erythrocyte sedimentation rate, and 50% of patients in the delta group had elevated hemoglobin. The Ct values of ORFlab gene, N gene and E gene with Omicron were lower than those with Delta. And the difference of E gene between the two groups was statistically significant (t=-2.711, P=0.024). IgG antibody levels increased in both groups.The time for nucleic acid to turn negative with Omicron was (28.20±5.89) days, and it was (18.50±7.73) days with Delta, and the difference between the groups was statistically significant (t=2.565, P=0.019). The length of hospitalization with Omicron was (30.60±4.88) days, and that with Delta was (22.13±7.81) days, and the difference was statistically significant (t=2.270, P =0.035). Conclusions: The initial symptoms of Omicron patients are mainly throat discomfort, cough and sputum. The clinical manifestations are generally mild. The nucleic acid test Ct value is lower. The time for nucleic acid to turn negative and the time for hospitalization are longer, and the potential infectiousness is stronger. Those eligible for vaccination should complete the full course of vaccination and booster vaccination as soon as possible. At the same time, the management of "early detection, early reporting, early isolation, and early treatment" should be implemented.

4.
4th International Conference on Image Processing and Machine Vision, IPMV 2022 ; : 13-21, 2022.
Article in English | Scopus | ID: covidwho-1973911

ABSTRACT

During the coronavirus pandemic, the demand for contactless biometrics technology has promoted the development of masked face recognition. Training a masked face recognition model needs to address two crucial issues: a lack of large-scale realistic masked face datasets and the difficulty of obtaining robust face representations due to the huge difference between complete faces and masked faces. To tackle with the first issue, this paper proposes to train a 3D masked face recognition network with non-masked face images. For the second issue, this paper utilizes the geometric features of 3D face, namely depth, azimuth, and elevation, to represent the face. The inherent advantages of 3D face enhance the stability and practicability of 3D masked face recognition network. In addition, a facial geometry extractor is proposed to highlight discriminative facial geometric features so that the 3D masked face recognition network can take full advantage of the depth, azimuth and elevation information in distinguishing face identities. The experimental results on four public 3D face datasets show that the proposed 3D masked face recognition network improves the accuracy of the masked face recognition, which verifies the feasibility of training the masked face recognition model with non-masked face images. © 2022 ACM.

5.
Chinese Traditional and Herbal Drugs ; 53(11):3557-3563, 2022.
Article in Chinese | EMBASE | ID: covidwho-1884661

ABSTRACT

Shufeng Jiedu Capsules are composed of eight traditional Chinese medicines, including Huzhang (Polygoni Cuspidati Rhizoma et Radix), Lianqiao (Forsythiae Fructus), Baijiangcao (Herba Patriniae), Chaihu (Bupleuri Radix), etc. Shufeng Jiedu Capsules has exactly effects such as dispelling wind and clearing heat, removing toxin and relieving sore-throat, which had been used in treatment of respiratory infectious diseases with symptom like fever, intolerating wind in clinic for a long time. Shufeng Jiedu Capsules are the recommended drugs for the "Influenza Diagnosis and Treatment Plan" (2020 version)issued by National Health Commission and "Diagnosis and Treatment of Pneumonia in COVID-19"(version 4, 5, 6, 7, 8 and 9). Pharmacological mechanism and clinical application of Shufeng Jiedu Capsules weresummarized in this paper, in order to summarize characteristic and the post-marketing research path of Shufeng Jiedu Capsules, and provide ideas for more post-marketing traditional Chinese medicine products.

6.
Zhonghua Er Ke Za Zhi ; 60(6): 539-544, 2022 Jun 02.
Article in Chinese | MEDLINE | ID: covidwho-1879501

ABSTRACT

Objective: To understand the clinical characteristics of children with SARS-CoV-2 Omicron infection imported from Hong Kong Special Administrative Region. Methods: This retrospective study was conducted to collect the data including clinical manifestations, outcomes and vaccination of 107 children with SARS-CoV-2 Omicron infection imported from Hong Kong Special Administrative Region to be admitted to the designated referral hospital in Shanghai from February to March 2022. According to the occurrence of clinical symptoms, the cases were divided into asymptomatic group and symptomatic group. According to the age of diagnosis, the cases were divided into <3 years group, 3-<6 years group and 6-<18 years group, and the clinical manifestations in different age group were analyzed with t-test and Mann-Whitney rank-sum test. Besides, to analyze the effectiveness of vaccination against SARS-CoV-2 Omicron infection in different age group, the cases aged 3-<18 years were also subdivided into unvaccinated group, 1-dose group and 2-dose group, and the relative risk (RR) was used to demonstrate the effectiveness. Results: Among the 107 cases, 66 were male and 41 were female, with infection age of 10 (5, 14) years. There were 29 cases in the asymptomatic group, and 78 cases in the symptomatic group, and no significant difference in the age of infection was observed between the 2 groups (11 (6, 14) vs. 10 (5, 14) years, Z=0.49, P>0.05). And there were no severe cases in symptomatic group. The length of hospitalization was (18±6) days, and was longer in symptomatic group than that in asymptomatic group ((19±6) vs. (16±7) d, t=0.17, P=0.030). Eight-two cases (76.6%) had a history of epidemiological exposure and, among whom, 81 cases (75.7%) were associated with household transmission. Among symptomatic group, 57 cases (73.1%) had fever and 20 cases (25.6%) had cough. Of the 74 cases undergoing chest CT examination, 17 cases (23.0%) showed mild abnormalities. Of the 83 cases who received the lab tests, 23 cases (27.7%) had white blood cell counts<4×109/L, 3 cases (3.6%) had C-reaction protein >8.0 mg/L, and 6 cases (7.2%) had slightly elevated aspartate transaminase and alanine aminotransferase. Among the 92 children aged 3-<18 years, 31 cases were unvaccinated, 34 cases received 1 dose, and 27 cases received 2 doses. The interval between the last vaccination and infection was 2.2 (0.6, 6.0) months; the interval between the last vaccination and infection in the 2-dose group was longer than that in 1-dose group (6.0 (4.5, 7.3) vs. 0.7 (0.3,2.0) months, Z=3.59, P<0.001).The risk of symptomatic infection was reduced by 45% (RR=0.55, 95% CI 0.35-0.87) with two-dose vaccination compared to non-vaccination in cases aged 3-<18 years. All these cases recovered completely. Conclusions: Children infected with SARS-CoV-2 Omicron are usually mild or asymptomatic. Household transmission is the main pattern of infection with SARS-CoV-2 Omicron in children. Two-dose SARS-CoV-2 vaccination in children aged 3-<18 years can provide partial protection against disease caused by SARS-CoV-2 Omicron.


Subject(s)
COVID-19 , SARS-CoV-2 , COVID-19/epidemiology , COVID-19 Vaccines , Child , China/epidemiology , Female , Hong Kong/epidemiology , Humans , Male , Retrospective Studies
7.
IEEE Access ; 10:39080-39094, 2022.
Article in English | Scopus | ID: covidwho-1840227

ABSTRACT

Infrared thermographs (IRTs, also called thermal cameras) have been used to remotely measure elevated body temperature (BT) and respiratory rate (RR) during infectious disease outbreaks, such as COVID-19. To facilitate the fast measurement of BT and RR using IRTs in densely populated venues, it is desirable to have IRT algorithms that can automatically identify the best facial locations in thermal images to extract these vital signs. The IEC 80601-2-59:2017 standard suggests that the regions medially adjacent to the inner canthi of the eyes are robust BT measurement sites. The nostril regions, on the other hand, are often used for RR estimation. However, it is more difficult to automatically identify inner canthi and nostrils in thermal images than in visible-light images, which are rich with exploitable features. In this paper, a unique system that can detect inner canthi and outer nostril edges directly in thermal images in two phases is introduced. In Phase I, original thermal images were processed in four different ways to enhance facial features to facilitate inner canthus and nostril detection. In Phase II, landmarks of the inner canthi and outer nostril edges were detected in two steps: (1) face detection using the Single Shot Multibox Detector (SSD) and (2) facial landmark detection to locate the inner canthi and outer nostril edges. The face detection, facial landmark detection, and overall system accuracies were evaluated using the intersection over union, normalized Euclidean distance, and success detection rate metrics on a set of 36 thermal images collected from 12 subjects using three different IRTs. Additional validation was performed on a subset of 40 random thermal images from the publicly available Tufts Face Database. The results revealed that the processed images - referred to as ICLIP images - yielded the highest landmark localization accuracy from the four types of processed thermal images, verifying that the system can automatically and accurately estimate the inner canthus and nostril locations in thermal images. The proposed system can be applied in IRT algorithms to provide reliable temperature measurements and RR estimates during infectious disease outbreaks. © 2013 IEEE.

8.
5th Asian Conference on Artificial Intelligence Technology, ACAIT 2021 ; : 254-258, 2021.
Article in English | Scopus | ID: covidwho-1788611

ABSTRACT

Coronavirus Disease 2019 (COVID-19) has become an unprecedented public health crisis since December of 2019. Compared with real-time reverse transcription polymerase chain reaction (rRT-PCR), the computer-aided diagnosis machine learning algorithm based on medical images can vastly ease the burden on clinicians. Even so, despite existing hundreds of millions of confirmed cases worldwide, there has not been a mature, large scale, high quality, single standard shared image data set yet, which can lead to some problems. For instance, 1) Because the sources of medical images and the collection standards are not guaranteed, features extracted by the neural network may not be very ideal. 2) Due to the small number of samples, some outliers (e.g., blurry medical images, inconspicuous symptoms) may significantly descend the performance of the model. To address these problems, we propose an adaptive self-paced transfer learning (ASPTL) algorithm in this paper. Specifically, inspired by the process of human learning from easy to difficult, we also evaluated the learning difficulty of the samples. Samples with no obvious disease features or wrong labels are relatively difficult to diagnose, and the samples that are easy to diagnose are selected adaptively in the iterative process. In addition, we adopt transfer learning to select easy to learn samples on the pre-trained network by self-paced learning, and gradually fine-tune the pre-trained model in an iterative way. We designed two experiments to validate the ASPTL algorithm's performance on COVID-19. The reult prove the effectiveness on solving mentioned problems. © 2021 IEEE.

9.
Open Forum Infectious Diseases ; 8(SUPPL 1):S361, 2021.
Article in English | EMBASE | ID: covidwho-1746477

ABSTRACT

Background. BRII-196 and BRII-198 are human monoclonal antibodies (mAb) with an extended half-life targeting distinct epitopes of the spike protein on SARSCoV-2. Mutations in these epitope regions are continuously emerging, potentially conferring resistance to COVID-19 therapeutics in development. Individual phase I studies showed that BRII-196 or BRII-198 alone were safe and well tolerated in healthy subjects. The BRII-196 and BRII-198 cocktail is currently under evaluation in Phase 2/3 studies for the treatment of COVID-19. Methods. Preclinical study: BRII-196 and BRII-198 were evaluated in the microneutralization assay using pseudo-viruses encoding mutations identified in the spike protein of a panel of SARS-CoV-2 variants of concerns, including strains originating in UK, SA, BR, CA, and India. The fold-change in neutralization IC50 titers relative to wild-type virus was calculated. Phase 1 study: healthy adults received sequential IV BRII-196 and BRII-198 (n=9) or placebo (n=3);and were followed for 180 days. Two dose levels (750mg/750mg and 1500mg/1500mg) were evaluated for safety, pharmacokinetics and immunogenicity. Interim analysis results are presented. Results. Preclinical: BRII-196 and BRII-198 exhibited neutralizing activity against pseudo-virus variants that contained spike mutations of a panel of variants including B.1.1.7 (UK), B.1.351(SA), P.1(BR), B.1.427/429 (CA), B.1.526 (NY), and B.1.617 (IN), comparable to that against wild-type virus. Phase I study: BRII-196 plus BRII-198 was well tolerated with no dose-limiting adverse events (AEs), deaths, serious adverse events, or infusion reactions. The majority of AEs were isolated asymptomatic grade 1-2 laboratory abnormalities. (Table 1). Each mAb displayed pharmacokinetic characteristics expected of extended half-life YTE-antibodies. Conclusion. The BRII-196 and BRII-198 cocktail was well-tolerated, and maintains neutralization against currently reported circulating variants of concern. These preclinical and clinical results support further development of BRII-196 and BRII-198 as a therapeutic or prophylactic option for SARS-CoV-2.

10.
Open Forum Infectious Diseases ; 8(SUPPL 1):S807-S808, 2021.
Article in English | EMBASE | ID: covidwho-1746276

ABSTRACT

Background. SARS-CoV-2 continues to spread and the development of safe and effective therapeutics for the prevention of severe disease remains a priority. BRII-196 and BRII-198 are non-competing anti-SARS-CoV-2 mAbs with YTE triple amino acid substitution in Fc to extend half-life and reduce receptor binding, that are being studied for treatment of COVID-19 in the ACTIV-2 Trial, sponsored by NIAID and led by ACTG. Methods. ACTIV-2 evaluates safety/efficacy of investigational agents for treatment of non-hospitalized adults with mild-moderate COVID-19 under a randomized, blinded, controlled adaptive platform. BRII-196/BRII-198 (1000 mg each) as a single dose given as sequential infusions, or placebo to those at high risk of clinical progression (i.e., age ≥ 60 years or presence of other medical conditions) within 10 days of symptom onset and positive test for SARS-CoV-2. The primary endpoint was hospitalization and/or death through day 28. We report Phase 3 BRII-196/BRII-198 trial results per DSMB recommendation following an interim analysis. Results. Between January and July 2021, 837 participants (418 active, 419 placebo) from sites in the US (66%), Brazil, South Africa, Mexico, Argentina and the Philippines were randomized and received study product at time of emerging variants. Median age 49 years (Q1, Q3: 39, 58), 51% female, 17% Black/African-American and 49% Hispanic/Latino, with median 6 days from symptom onset. At interim analysis 71% and 97% had a day 28 and 7 visit, respectively. For all available data at interim review, BRII-196/BRII-198 compared to placebo had fewer hospitalizations (12 vs. 45) and deaths (1 vs. 9). At day 28 of follow-up, there was an estimated 78% reduction in hospitalization and/or death (2.4 vs. 11.1%), relative risk 0.22 (95% CI: 0.05, 0.86), P=0.00001 (nominal one-sided). Grade 3 or higher adverse events (AEs) were observed less frequently among BRII-196/BRII-198 participants than placebo (3.8% vs. 13.4%) with no severe infusion reactions or drug related serious AEs. Conclusion. BRII-196/BRII-198 was safe, well-tolerated, and demonstrated significant reduction compared to placebo in the risk of hospitalization and/or death among adults with mild-moderate COVID-19 at high risk for progression to severe disease.

11.
Embase;
Preprint in English | EMBASE | ID: ppcovidwho-327041

ABSTRACT

The SARS-CoV-2 Omicron with increased fitness is spreading rapidly worldwide. Analysis of cryo-EM structures of the Spike (S) from Omicron reveals amino acid substitutions forging new interactions that stably maintain an “active” conformation for receptor recognition. The relatively more compact domain organization confers improved stability and enhances attachment but compromises the efficiency of viral fusion step. Alterations in local conformation, charge and hydrophobic microenvironments underpin the modulation of the epitopes such that they are not recognized by most NTD- and RBD-antibodies, facilitating viral immune escape. Apart from already existing mutations, we have identified three new immune escape sites: 1) Q493R, 2) G446S and 3) S371L/S373P/S375F that confers greater resistance to five of the six classes of RBD-antibodies. Structure of the Omicron S bound with human ACE2, together with analysis of sequence conservation in ACE2 binding region of 25 sarbecovirus members as well as heatmaps of the immunogenic sites and their corresponding mutational frequencies sheds light on conserved and structurally restrained regions that can be used for the development of broad-spectrum vaccines and therapeutics.

12.
Embase;
Preprint in English | EMBASE | ID: ppcovidwho-326980

ABSTRACT

Omicron, the most heavily mutated SARS-CoV-2 variant so far, is highly resistant to neutralizing antibodies, raising unprecedented concerns about the effectiveness of antibody therapies and vaccines. We examined whether sera from individuals who received two or three doses of inactivated vaccine, could neutralize authentic Omicron. The seroconversion rates of neutralizing antibodies were 3.3% (2/60) and 95% (57/60) for 2- and 3-dose vaccinees, respectively. For three-dose recipients, the geometric mean neutralization antibody titer (GMT) of Omicron was 15, 16.5-fold lower than that of the ancestral virus (254). We isolated 323 human monoclonal antibodies derived from memory B cells in 3-dose vaccinees, half of which recognize the receptor binding domain (RBD) and show that a subset of them (24/163) neutralize all SARS-CoV-2 variants of concern (VOCs), including Omicron, potently. Therapeutic treatments with representative broadly neutralizing mAbs individually or antibody cocktails were highly protective against SARS-CoV-2 Beta infection in mice. Atomic structures of the Omicron S in complex with three types of all five VOC-reactive antibodies defined the binding and neutralizing determinants and revealed a key antibody escape site, G446S, that confers greater resistance to one major class of antibodies bound at the right shoulder of RBD through altering local conformation at the binding interface. Our results rationalize the use of 3-dose immunization regimens and suggest that the fundamental epitopes revealed by these broadly ultrapotent antibodies are a rational target for a universal sarbecovirus vaccine.

13.
Data Intelligence ; 4(1):134-148, 2022.
Article in English | Web of Science | ID: covidwho-1677465

ABSTRACT

Due to the large-scale spread of COVID-19, which has a significant impact on human health and social economy, developing effective antiviral drugs for COVID-19 is vital to saving human lives. Various biomedical associations, e.g., drug-virus and viral protein-host protein interactions, can be used for building biomedical knowledge graphs. Based on these sources, large-scale knowledge reasoning algorithms can be used to predict new links between antiviral drugs and viruses. To utilize the various heterogeneous biomedical associations, we proposed a fusion strategy to integrate the results of two tensor decomposition-based models (i.e., CP-N3 and ComplEx-N3). Sufficient experiments indicated that our method obtained high performance (MRR=0.2328). Compared with CP-N3, the mean reciprocal rank (MRR) is increased by 3.3% and compared with ComplEx-N3, the MRR is increased by 3.5%. Meanwhile, we explored the relationship between the performance and relationship types, which indicated that there is a negative correlation (PCC=0.446, P-value=2.26e-194) between the performance of triples predicted by our method and edge betweenness.

14.
IISE Annual Conference and Expo 2021 ; : 429-434, 2021.
Article in English | Scopus | ID: covidwho-1589557

ABSTRACT

Social distancing has become a necessity due to COVID-19, requiring schools to reduce classroom capacities to host in-person students. In doing so, schools seek to maximize the number of seats that can be used within a classroom, while ensuring that no pair of usable seats violates social distancing guidelines. We model this problem as a graph-theoretic maximum independent set problem and develop a user-friendly tool that solves real instances of the problem. We then use that tool to create optimal classroom seating plans for a major university. Our core model considers the case of a classroom with fixed seats. This problem can be expressed as a graph, identifying seats as nodes and inserting edges between seats that are closer than some prescribed threshold. A maximum independent set in this graph corresponds to an optimal seating plan. Our seat assignment tool allows any user to solve this problem by uploading an architect's drawing of a classroom. Then, computer vision aids the user by locating seats, and the tool finds and prints an optimal plan. Our tool also allows users to easily incorporate additional requirements, such as designated teacher spaces and the inclusion of movable chairs. Our tool helped automate the classroom planning process at Cornell University where its ease of use allowed it to be run on hundreds of classrooms. Compared to initial reduced-capacity classroom estimates determined by the Office of the University Architect, it helped identify over 400 additional seats that could be used. © 2021 IISE Annual Conference and Expo 2021. All rights reserved.

15.
Chinese Journal of Evidence-Based Medicine ; 21(6):676-682, 2021.
Article in Chinese | Scopus | ID: covidwho-1449170

ABSTRACT

Objective To systematically review the safety of different types of COVID-19 vaccines in the population. Methods Web of Science, PubMed, EMbase, The Cochrane Library, CNKI, WanFang Data and CBM databases were electronically searched to collect randomized controlled trials (RCTs) which reported safety of COVID-19 vaccines in population. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Meta-analysis was then performed by using RevMan 5.4 software. Results A total of 5 RCTs involving 2 431 subjects were included. The results of the meta-analysis showed that COVID-19 vaccines developed more fever symptoms than placebo (RR=2.21, 95%CI 1.38 to 3.54, P=0.000 9). However, there was no significant difference in the incidence of adverse reactions (RR=1.28, 95%CI 0.96 to 1.70, P=0.10), injection site adverse reactions (RR=1.47, 95%CI 0.65 to 3.36, P=0.36) and systemic adverse reactions (RR=0.96, 95%CI 0.78 to 1.17, P=0.66) between two groups. Conclusions Current evidence shows that COVID-19 vaccines are sufficiently safe. Due to limited quality and quantity of the included studies, more high-quality studies are required to verify the above conclusions. © 2021 West China University of Medical Science. All rights reserved.

16.
Fuzzy Systems and Data Mining Vi ; 331:707-715, 2020.
Article in English | Web of Science | ID: covidwho-1308257

ABSTRACT

The sudden outbreak of the pandemic COVID-19 inevitably has a great impact on economic and social development. Therefore, the innovation-driven value becomes more and more prominent. Through literature review, it is not difficult to find that values have gradually become an important reference standard for organizations to select talents for their teams, as well as an important reference factor for studying organizational citizenship behavior. In order to explore the relationship between values realization degree and organizational citizenship behavior, this investigation based on the social interaction theory was conducting using a sample of enterprise staff (N=358). In this paper, LISRELV9.2 and SPSS21.0 were used to analyze the sample data, including descriptive statistical analysis, common variance deviation test, reliability and validity test, one-way ANOVA, correlation analysis, regression analysis, and validation of mediating effects. The results showed that values realization degree positively predicted organizational citizenship behavior, and job satisfaction played an intermediary role in the relationship between values realization degree and organizational citizenship behavior. Besides, there were some differences between the relation that work values realization degree and organizational citizenship behavior acted on organizational citizenship behavior.

17.
School Psychology Review ; : 19, 2021.
Article in Chinese | Web of Science | ID: covidwho-1254178

ABSTRACT

COVID-19 negatively impacts students' learning as well as physical and mental health. This study examined the effects of perceived online learning difficulties and cyberbullying on academic engagement and mental health, and if parenting styles and student-teacher relationship moderated these relations among 733 middle school students (54.3% boys) and their parents (M-age = 44.76 years, SD = 4.13 years, 28.1% fathers and 71.9% mothers) from Beijing, China. Results suggested that perceived online learning difficulties and cyberbullying predicted more mental health difficulties;perceived difficulties with online learning negatively predicted academic engagement. Authoritative parenting and positive student-teacher relationship predicted more academic engagement and less mental health difficulties, while authoritarian parenting predicted more mental health difficulties. Student-teacher relationship also moderated the relation between cyberbullying and mental health as well as difficulties with online learning and academic engagement. Parents and adolescents wanted more interactions with teachers and group activities to foster peer relationships, and more support from teachers and school psychologists to address students' social and emotional needs during COVID-19. Implications for school psychologists and school staff are discussed. Impact Statement A majority of Chinese middle school students in our sample experienced difficulties with distance learning during COVID-19, which was negatively related to their academic engagement (e.g., active participation in class) and mental health. This is one of the first studies to highlight the importance of two protective factors (authoritative parenting and positive student-teacher relationships) on student academic engagement and mental health during COVID-19. The findings highlight important implications for school staff (teachers and school psychologists) and provide suggestions on how to better support adolescents in the online learning environment during the COVID-19.

18.
Frontiers in psychiatry Frontiers Research Foundation ; 12:657021, 2021.
Article in English | MEDLINE | ID: covidwho-1208598

ABSTRACT

Background: Health professionals including nurses have experienced heavy workload and great physical and mental health challenges during the coronavirus disease 19 (COVID-19) pandemic, which may affect nursing students' career choices. This study examined the changes in nursing students' career choices after the onset of the COVID-19 pandemic in China.

19.
Acta Geoscientica Sinica ; 42(2):223-228, 2021.
Article in Chinese | Scopus | ID: covidwho-1208428

ABSTRACT

China is the world's largest copper consumer, consuming nearly half of the world's copper resources every year. However, domestic copper resources are in short supply and the output is relatively limited. In 2019, the foreign-trade dependence rate was as high as 78%. This paper mainly analyzes the supply and demand situation of copper resources in China, the risk of import sources, the comprehensive competitiveness of copper resource companies, and the impact of the COVID-19 on the supply of copper resources in China. The recommendations are as follows: The first is to increase the exploration of domestic copper resources, increase capital investment, and strive to ensure the self-sufficiency of copper resources in key domestic industries;the second is to strengthen multilateral international cooperation to reduce the concentration of copper resources;the third is to grant Chinese investment overseas the corresponding policies and financial support of enterprises so as to actively expand overseas smelting capacity and open up the upstream and downstream industrial chain of African copper resources. © 2021, Science Press. All right reserved.

20.
J. Phys. Conf. Ser. ; 1827, 2021.
Article in English | Scopus | ID: covidwho-1165281
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