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1.
Academic Journal of Naval Medical University ; 43(11):1257-1263, 2022.
Article in Chinese | EMBASE | ID: covidwho-20245355

ABSTRACT

Objective To explore the sociodemographic and psychological factors influencing the continuity of treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019 (COVID-19). Methods A total of 277 patients with chronic kidney disease who were admitted to Department of Nephrology, The First Affiliated Hospital of Naval Medical University (Second Military Medical University) from Apr. 2020 to Mar. 2021 were enrolled and divided into 3 groups: non-dialysis group (n=102), hemodialysis (HD) group (n=108), and peritoneal dialysis (PD) group (n=67). All patients were investigated by online and offline questionnaires, including self-designed basic situation questionnaire, self-rating anxiety scale (SAS), and self-rating depression scale (SDS). The general sociodemographic data, anxiety and depression of the 3 groups were compared, and the influence of sociodemographic and psychological factors on the interruption or delay of treatment was analyzed by binary logistic regression model. Results There were significant differences in age distribution, marital status, occupation, medical insurance type, caregiver type, whether there was an urgent need for hospitalization and whether treatment was delayed or interrupted among the 3 groups (all P0.05). The average SAS score of 65 PD patients was 38.15+/-15.83, including 53 (81.5%) patients without anxiety, 7 (10.8%) patients with mild anxiety, and 5 (7.7%) patients with moderate to severe anxiety. The average SAS score of 104 patients in the HD group was 36.86+/-14.03, including 81 (77.9%) patients without anxiety, 18 (17.3%) patients with mild anxiety, and 5 (4.8%) patients with moderate to severe anxiety. There were no significant differences in the mean score of SAS or anxiety severity grading between the 2 groups (both P0.05). The mean SDS scores of 65 PD patients were 53.42+/-13.30, including 22 (33.8%) patients without depression, 21 (32.3%) patients with mild depression, and 22 (33.8%) patients with moderate to severe depression. The mean SDS scores of 104 patients in the HD group were 50.79+/-10.76, including 36 (34.6%) patients without depression, 56 (53.8%) patients with mild depression, and 12 (11.6%) patients with moderate to severe depression. There were no significant differences in mean SDS scores or depression severity grading between the 2 groups (both P0.05). The results of intra-group comparison showed that the incidence and severity of depression were higher than those of anxiety in both groups. Multivariate binary logistic regression analysis showed that high school education level (odds ratio OR=5.618, 95% confidence interval CI) 2.136-14.776, P0.01), and unmarried (OR=6.916, 95% CI 1.441-33.185, P=0.016), divorced (OR= 5.588, 95% CI 1.442-21.664, P=0.013), urgent need for hospitalization (OR=8.655, 95% CI 3.847-19.476, P0.01) could positively promote the continuity of treatment in maintenance dialysis patients under the regular epidemic prevention and control of COVID-19. In the non-dialysis group, no sociodemographic and psychological factors were found to be associated with the interruption or delay of treatment (P0.05). Conclusion Education, marital status, and urgent need for hospitalization are correlated with the continuity of treatment in patients with chronic kidney disease on maintenance dialysis.Copyright © 2022, Second Military Medical University Press. All rights reserved.

2.
Conference on Human Factors in Computing Systems - Proceedings ; 2023.
Article in English | Scopus | ID: covidwho-20244856

ABSTRACT

Children are one of the groups most influenced by COVID-19-related social distancing, and a lack of contact with peers can limit their opportunities to develop social and collaborative skills. However, remote socialization and collaboration as an alternative approach is still a great challenge for children. This paper presents MR.Brick, a Mixed Reality (MR) educational game system that helps children adapt to remote collaboration. A controlled experimental study involving 24 children aged six to ten was conducted to compare MR.Brick with the traditional video game by measuring their social and collaborative skills and analyzing their multi-modal playing behaviours. The results showed that MR.Brick was more conducive to children's remote collaboration experience than the traditional video game. Given the lack of training systems designed for children to collaborate remotely, this study may inspire interaction design and educational research in related fields. © 2023 ACM.

3.
Academic Journal of Naval Medical University ; 43(11):1264-1267, 2022.
Article in Chinese | EMBASE | ID: covidwho-20244461

ABSTRACT

Objective To explore the effect of WeChat group management on blood pressure control rate and drug compliance of hypertension patients during the epidemic of coronavirus disease 2019 (COVID-19) . Methods A total of 428 consecutive patients with essential hypertension in our outpatient department from Jan. 2020 to Dec. 2020 were enrolled and randomly divided into experimental group and control group with a ratio of 1 : 1. There were 214 patients in the experimental group, 110 males and 104 females, with an average age of (55.48+/-6.11) years. There were 214 cases in the control group, 108 males and 106 females, with an average age of (56.52+/-5.19) years. WeChat groups were established for the 2 groups separately. Information on education, supervised medication and lifestyle of hypertension was provided to the patients in the experimental group through WeChat, while no active intervention was given to the control group. The blood pressure control rate and medication possession ratio (MPR) were calculated at 1, 3, 6 and 12 months of intervention, and the differences between the 2 groups were compared. Results There were no significant differences in the blood pressure control rate (91.12%195/214 vs 90.65% 194/214, 86.67%182/210vs 89.62%190/212or MPR (0.90+/-0.03 vs 0.90+/-0.05, 0.85+/-0.04 vs 0.88+/-0.03) between the 2 groups at 1 or 3 months of intervention (all P>0.05). At 6 and 12 months, the blood pressure control rate (81.73%170/208vs 88.57%186/210,75.12%154/205vs 85.99%178/207) and MPR (0.74+/-0.04 vs 0.87+/-0.05, 0.58+/-0.05 vs 0.85+/-0.03) of patients in the experimental group were significantly higher than those in the control group (all P<0.05). Conclusion During the COVID-19 epidemic, WeChat group management of hypertension patients by doctors could improve patients' blood pressure control rate and drug compliance and strengthen patients' self-management ability.Copyright © 2022, Second Military Medical University Press. All rights reserved.

4.
2nd International Conference on Biological Engineering and Medical Science, ICBioMed 2022 ; 12611, 2023.
Article in English | Scopus | ID: covidwho-2323423

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (Sars-Cov-2) variants in a perpetual state of evolution are persistently challenging the development of medical therapeutics. Continuing beyond the mutation escape of variants requires a specific, stable, point-of-care, modifiable, and low-cost therapeutic reagent for both prophylactic treatment and clinical treatment. The nucleic acid-based approach, aptamer, has become one of the most competitive candidates for this high-demand anti-covid treatment. As current substantial research has consolidated its optimistic biosensor role in the field of detection and diagnostics for Sars-Cov-2, it is undoubtedly worth exploring aptamers as neutralizing agents. The applicability of aptamers with refined advantages should not only allow more possibilities in screening and diagnosis but also confer promising capabilities in neutralization, chimeric therapy, delivery, and vaccines for COVID-19. Therefore, the paper, through the method of literature review, reveals the current state of coronavirus and aptamer, summarizes the recent developments in theranostic aptamers, anti-Sars-Cov-2 neutralizing aptamers, and combined aptamers, and the prospect of aptamer research, including its challenges and focus. The paper concludes that aptamer-based biosensors, rapid antigen tests, and treatments are promising priorities against COVID-19 as diagnostic-aimed and neutralizing-aimed aptamers have been developed during the past two years. Although RBD-targeted and multivalent aptamers partly dampen the burden of nonspecificity and low effectivity, pushing into the "in vivo” testing stage and tackling frequent mutation escape should be the future research focus. © 2023 SPIE.

5.
Academic Journal of Naval Medical University ; 43(11):1257-1263, 2022.
Article in Chinese | EMBASE | ID: covidwho-2327416

ABSTRACT

Objective To explore the sociodemographic and psychological factors influencing the continuity of treatment of patients with chronic kidney disease under the regular epidemic prevention and control of coronavirus disease 2019 (COVID-19). Methods A total of 277 patients with chronic kidney disease who were admitted to Department of Nephrology, The First Affiliated Hospital of Naval Medical University (Second Military Medical University) from Apr. 2020 to Mar. 2021 were enrolled and divided into 3 groups: non-dialysis group (n=102), hemodialysis (HD) group (n=108), and peritoneal dialysis (PD) group (n=67). All patients were investigated by online and offline questionnaires, including self-designed basic situation questionnaire, self-rating anxiety scale (SAS), and self-rating depression scale (SDS). The general sociodemographic data, anxiety and depression of the 3 groups were compared, and the influence of sociodemographic and psychological factors on the interruption or delay of treatment was analyzed by binary logistic regression model. Results There were significant differences in age distribution, marital status, occupation, medical insurance type, caregiver type, whether there was an urgent need for hospitalization and whether treatment was delayed or interrupted among the 3 groups (all P<0.05). The average SAS score of 65 PD patients was 38.15+/-15.83, including 53 (81.5%) patients without anxiety, 7 (10.8%) patients with mild anxiety, and 5 (7.7%) patients with moderate to severe anxiety. The average SAS score of 104 patients in the HD group was 36.86+/-14.03, including 81 (77.9%) patients without anxiety, 18 (17.3%) patients with mild anxiety, and 5 (4.8%) patients with moderate to severe anxiety. There were no significant differences in the mean score of SAS or anxiety severity grading between the 2 groups (both P>0.05). The mean SDS scores of 65 PD patients were 53.42+/-13.30, including 22 (33.8%) patients without depression, 21 (32.3%) patients with mild depression, and 22 (33.8%) patients with moderate to severe depression. The mean SDS scores of 104 patients in the HD group were 50.79+/-10.76, including 36 (34.6%) patients without depression, 56 (53.8%) patients with mild depression, and 12 (11.6%) patients with moderate to severe depression. There were no significant differences in mean SDS scores or depression severity grading between the 2 groups (both P>0.05). The results of intra-group comparison showed that the incidence and severity of depression were higher than those of anxiety in both groups. Multivariate binary logistic regression analysis showed that high school education level (odds ratio [OR]=5.618, 95% confidence interval [CI]) 2.136-14.776, P<0.01), and unmarried (OR=6.916, 95% CI 1.441-33.185, P=0.016), divorced (OR= 5.588, 95% CI 1.442-21.664, P=0.013), urgent need for hospitalization (OR=8.655, 95% CI 3.847-19.476, P<0.01) could positively promote the continuity of treatment in maintenance dialysis patients under the regular epidemic prevention and control of COVID-19. In the non-dialysis group, no sociodemographic and psychological factors were found to be associated with the interruption or delay of treatment (P>0.05). Conclusion Education, marital status, and urgent need for hospitalization are correlated with the continuity of treatment in patients with chronic kidney disease on maintenance dialysis.Copyright © 2022, Second Military Medical University Press. All rights reserved.

6.
Academic Journal of Naval Medical University ; 43(11):1264-1267, 2022.
Article in Chinese | EMBASE | ID: covidwho-2326980

ABSTRACT

Objective To explore the effect of WeChat group management on blood pressure control rate and drug compliance of hypertension patients during the epidemic of coronavirus disease 2019 (COVID-19) . Methods A total of 428 consecutive patients with essential hypertension in our outpatient department from Jan. 2020 to Dec. 2020 were enrolled and randomly divided into experimental group and control group with a ratio of 1 : 1. There were 214 patients in the experimental group, 110 males and 104 females, with an average age of (55.48+/-6.11) years. There were 214 cases in the control group, 108 males and 106 females, with an average age of (56.52+/-5.19) years. WeChat groups were established for the 2 groups separately. Information on education, supervised medication and lifestyle of hypertension was provided to the patients in the experimental group through WeChat, while no active intervention was given to the control group. The blood pressure control rate and medication possession ratio (MPR) were calculated at 1, 3, 6 and 12 months of intervention, and the differences between the 2 groups were compared. Results There were no significant differences in the blood pressure control rate (91.12%[195/214] vs 90.65% [194/214], 86.67%[182/210]vs 89.62%[190/212])or MPR (0.90+/-0.03 vs 0.90+/-0.05, 0.85+/-0.04 vs 0.88+/-0.03) between the 2 groups at 1 or 3 months of intervention (all P>0.05). At 6 and 12 months, the blood pressure control rate (81.73%[170/208]vs 88.57%[186/210],75.12%[154/205]vs 85.99%[178/207]) and MPR (0.74+/-0.04 vs 0.87+/-0.05, 0.58+/-0.05 vs 0.85+/-0.03) of patients in the experimental group were significantly higher than those in the control group (all P<0.05). Conclusion During the COVID-19 epidemic, WeChat group management of hypertension patients by doctors could improve patients' blood pressure control rate and drug compliance and strengthen patients' self-management ability.Copyright © 2022, Second Military Medical University Press. All rights reserved.

7.
12th International Conference on Information Technology in Medicine and Education, ITME 2022 ; : 423-428, 2022.
Article in English | Scopus | ID: covidwho-2320957

ABSTRACT

This paper is an attempt to customize a lightweight model to classify pneumonia images by integrating depthwise-separable convolutions with typical CNN model, and focus on the performance of DSCNN in comparison with typical CNN model based on X-ray images. The experimental result shows that in our four-layer structure, DSCNN reduce around 50,000 parameters compared to CNN. But DSCNN had a relative low recall on COVID-19(89.23%). However, with proper means of optimization such as focal loss and data augmentation, there was a slight increase in test accuracy of DSCNN(from 95.25% to 96.14%), and a significant increase in recall on COVID-19(from 89.23% to 94.61%). And this model also performed well on the rest two labels. © 2022 IEEE.

8.
Infectious Diseases and Immunity ; 3(2):97-100, 2023.
Article in English | Scopus | ID: covidwho-2318692

ABSTRACT

Luteolin is a natural flavonoid that has a variety of pharmacological activities, such as anti-inflammatory, anti-allergic, anti-bacterial, anti-viral, apoptosis inhibition, cell autophagy regulation, and anti-tumor activity. It is one of the main ingredients of an expert-recommended herbal formula for the prevention and treatment of coronavirus disease 2019 (COVID-19). This suggests that luteolin has strong pharmacological effects on the prevention and treatment of COVID-19. The aims of this study were to identify the molecular targets of luteolin and to infer the possible mechanisms by which it exerts its pharmacological effects. The GSE159787 data set was obtained from the Gene Expression Omnibus online database, and differentially expressed genes were analyzed. There were 22 upregulated differentially expressed genes enriched in the COVID-19 signaling pathway, suggesting that the upregulation of these genes may be closely related to the occurrence of COVID-19. Molecular docking results showed that luteolin had strong binding efficiency to 20 of these 22 key genes. Six of these genes (CFB, EIF2AK2, OAS1, MAPK11, OAS3, and STAT1) showed strong binding activity. Luteolin can regulate the COVID-19 signaling pathway by combining with these targets, which may have a therapeutic effect on COVID-19. © Wolters Kluwer Health, Inc. All rights reserved.

9.
Acs Sustainable Chemistry & Engineering ; 11(8):3506-3516, 2023.
Article in English | Web of Science | ID: covidwho-2307603

ABSTRACT

Progress in developing synthetic pathways for novel and complex phospholipid species, such as Hemi-bis(monoacylglycero)phosphates (Hemi-BMPs) and bis(diacylglycero)phosphates (BDPs), is essential for expanding the knowledge and availability of rare and uncommon phospholipid species. These structurally complex phospholipid species have recently gained more attention with promising applications, as active pharmaceutical ingredient carriers in multiple COVID-19 vaccines, or biomarkers for numerous lysosomal storage disorders and certain types of cancers. The presented work facilitates the production of a range of structurally diverse Hemi-BMP and BDP products intending to increase the availability and thereby the understanding of the underlying chemistry for these high-valuable compounds. The transphosphatidylation of phosphatidylcholine with a variety of structurally diverse monoacylglycerols and diacylglycerols is proceeded by phospholipase D (PLD) catalysis in a biphasic system. Optimization in regard to enzyme loading (5 U), substrate mole ratio (1:5 mol/mol), temperature (30 degrees C), and aqueous concentration of (18% v/v) afforded the highest conversion for the model transphosphatidylation of phosphatidylcholine with monoolein, yielding 87% in 2 h. The study additionally proposes a reaction mechanism based on molecular simulation, elegantly elaborating the structural constraints (substrate configuration and character of the fatty acid residues) for access to the active site of PLD accordingly for lower yield of BDPs. The successful system designed for the production of high-valuable Hemi-BMP and BDP-analogues demonstrated in this work promises to enhance the understanding of these complex phospholipids, leading to new scientific breakthroughs.

10.
Chinese Journal of Perinatal Medicine ; 25(12):885-890, 2022.
Article in Chinese | Scopus | ID: covidwho-2292286

ABSTRACT

Objective To summarize the clinical features, viral load changes, and outcomes of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) Omicron variant infection in mother-infant dyads during lactation period. Methods A total of 24 pairs of lactating mothers and infants under one year old who were infected with SARS-CoV-2 and hospitalized in Lingang Branch of Shanghai Sixth People's Hospital from April 8 to May 30, 2022, were selected as the lactation group in this retrospective study. Another 24 non-lactating mothers, with children of one to three years old, who matched with those mothers in the lactation group in clinical classification and admission date were selected as the control group. Vaccination status, clinical symptoms, daily cycle threshold (Ct) of open reading frame 1ab (ORF1ab) gene and nucleocapsid protein (N) gene, and the duration of positive nucleic acid test were compared between the groups and were analyzed using two independent samples t test, one-way analysis of variance, LSD test, and Chi-square test. Results Among the 24 infants in the lactation group with an age of (6.5±2.1) months, 23 cases were mild type, one was common, and none had been vaccinated against SARS-CoV-2. The maternal age of the lactation and the control group did not differ statistically [(28.7±6.4) vs (28.2±5.2) years, t=0.30, P=0.768]. Mothers with mild type accounted for 88% (21/24) and those with common for 12% (3/24) in both groups of mothers. Three mothers received one dose of vaccine and two received two in the lactation group, while three received one dose and three received two in the control group [21%(5/24) vs 25%(6/24), χ2=0.12, P=0.731]. The most common symptoms of lactating infants were fever (100%, 24/24), followed by diarrhea (58%, 14/24), cough (50%, 12/24), and wheeze (29%, 7/24), those of the lactating mothers were fever (75%, 18/24), cough (75%, 18/24), and sore throat (63%, 15/24), while those of non-lactating mothers were cough (88%, 21/ 24), sore throat (71%, 17/24), and fever (58%, 14/24). The duration of positive nucleic acid test was the shortest in the lactating infants [(9.2±2.1) d (5-14 d)], followed by mothers in the control group [(11.2± 2.4) d (6-16 d)] and mothers in the lactation group [(14.0±4.2) d (8-26 d)] (LSD test, all P<0.05). Each day from day 2 to 9 after diagnosis, Ct values of nucleic acid of infants in the lactation group were all higher than those of mothers in both the lactation and control groups (LSD test, all P<0.05). On day 10, Ct value of nucleic acid infants was higher than that in mothers in the lactation group (ORF1ab gene: 37.91±4.34 vs 32.79±5.47;N gene: 37.95±4.58 vs 32.66±5.77), which was lower than those in mothers in the control group (ORF1ab gene: 32.79±5.47 vs 35.90±4.17;N gene: 32.66±5.77 vs 36.08±4.16) (LSD test, all P< 0.05). On day 11, the nucleic acid Ct values of mothers in the lactation group were all lower than those in the control group (ORF1ab gene: 35.03±3.74 vs 37.84±3.26, t=-2.78, P=0.008;N gene: 35.30±3.75 vs 38.11±2.90, t=-2.90, P=0.006). On day 12, Ct value of ORF1ab gene and N gene in mothers in the lactation group were similar to those in mothers in the control group (both P>0.05). Conclusions The SARS-CoV-2 vaccination rate of mothers and infants were low during lactation. Lactating infants infected with SARS-CoV-2 Omicron variant have low virus load and may have a quick recovery, while for the lactating mothers, the virus load is high and the recovery is slow. © 2022 Chinese Medical Journals Publishing House Co.Ltd. All rights reserved.

11.
55th Annual Hawaii International Conference on System Sciences, HICSS 2022 ; 2022-January:1749-1758, 2022.
Article in English | Scopus | ID: covidwho-2294885

ABSTRACT

The COVID-19 pandemic has cast a substantial impact on the tourism and hospitality sector. Public policies such as travel restrictions and stay-at-home orders had significantly affected tourist activities and service businesses' operations and profitability. It is essential to develop interpretable forecasting models to support managerial and organizational decision-making. We developed DemandNet, a novel deep learning framework for predicting time series data under the influence of the COVID-19 pandemic. The DemandNet framework has the following unique characteristics. First, it selects the top static and dynamic features embedded in the time series data. Second, it includes a nonlinear model which can provide interpretable insight into the previously seen data. Third, a novel prediction model is developed to leverage the above characteristics to make robust long-term forecasts. We evaluated DemandNet using daily hotel demand and revenue data from eight cities in the US between 2013 and 2020. Our findings reveal that DemandNet outperforms the state-of-art models and can accurately predict the effect of the COVID-19 pandemic on hotel demand and revenue. © 2022 IEEE Computer Society. All rights reserved.

12.
Health Data Science ; 2022, 2022.
Article in English | Scopus | ID: covidwho-2261601

ABSTRACT

Background. COVID-19 prevention and control measures might affect influenza epidemic in China since the nonpharmaceutical interventions (NPIs) and behavioral changes contain transmission of both SARS-CoV-2 and influenza virus. We aimed to explore the impact of COVID-19 prevention and control measures on influenza using data from the National Influenza Surveillance Network. Methods. The percentage of influenza-like illness (ILI%) in southern and northern China from 2010 to 2022 was collected from the National Influenza Surveillance Network. Weekly ILI% observed value from 2010 to 2019 was used to calculate estimated annual percentage change (EAPC) of ILI% with 95% confidence intervals (CIs). Time series analysis was applied to estimate weekly ILI% predicted values in 2020/2021 and 2021/2022 season. Impact index was used to explore the impact of COVID-19 prevention and control on influenza during nonpharmaceutical intervention and vaccination stages. Results. China influenza activity was affected by the COVID-19 pandemic and different prevention and control measures during 2020-2022. In 2020/2021 season, weekly ILI% observed value in both southern and northern China was at a low epidemic level, and there was no obvious epidemic peak in winter and spring. In 2021/2022 season, weekly ILI% observed value in southern and northern China showed a small peak in summer and epidemic peak in winter and spring. The weekly ILI% observed value was generally lower than the predicted value in southern and northern China during 2020-2022. The median of impact index of weekly ILI% was 15.11% in north and 22.37% in south in 2020/2021 season and decreased significantly to 2.20% in north and 3.89% in south in 2021/2022 season. Conclusion. In summary, there was a significant decrease in reported ILI in China during the 2020-2022 COVID-19 pandemic, particularly in winter and spring. Reduction of influenza virus infection might relate to everyday Chinese public health COVID-19 interventions. The confirmation of this relationship depends on future studies. Copyright © 2022 Zirui Guo et al. Exclusive Licensee Peking University Health Science Center. Distributed under a Creative Commons Attribution License (CC BY 4.0).

13.
2022 International Conference on Education, Network and Information Technology, ICENIT 2022 ; : 17-23, 2022.
Article in English | Scopus | ID: covidwho-2261598

ABSTRACT

Information technology changes people's way of working, learning and thinking at an amazing speed, which will inevitably lead to comprehensive reform and development in the education field. The epidemic situation of COVID-19 makes online teaching the main teaching mode of 'teaching without stopping and learning without stopping'. The application of modern education technology based on 'Chaoxing Platform+Tencent Meeting' in teaching process is explored. Based on teaching environment, interactive teaching mode construction, teaching management and evaluation, the teaching design is carried out in combination with the actual characteristics of each teaching link. The application of virtual simulation modern educational technology in the course Circuit Analysis is studied, and the convenience and the intuitiveness brought by virtual simulation technical resources and interactive platform are given full play, and the virtual simulation technology can effectively solve the obscure circuit analysis problem in theoretical teaching. The aim of teaching model reform has been achieved. © 2022 IEEE.

14.
ACS Sustainable Chemistry and Engineering ; 2022.
Article in English | Scopus | ID: covidwho-2252495

ABSTRACT

Progress in developing synthetic pathways for novel and complex phospholipid species, such as Hemi-bis(monoacylglycero)phosphates (Hemi-BMPs) and bis(diacylglycero)phosphates (BDPs), is essential for expanding the knowledge and availability of rare and uncommon phospholipid species. These structurally complex phospholipid species have recently gained more attention with promising applications, as active pharmaceutical ingredient carriers in multiple COVID-19 vaccines, or biomarkers for numerous lysosomal storage disorders and certain types of cancers. The presented work facilitates the production of a range of structurally diverse Hemi-BMP and BDP products intending to increase the availability and thereby the understanding of the underlying chemistry for these high-valuable compounds. The transphosphatidylation of phosphatidylcholine with a variety of structurally diverse monoacylglycerols and diacylglycerols is proceeded by phospholipase D (PLD) catalysis in a biphasic system. Optimization in regard to enzyme loading (5 U), substrate mole ratio (1:5 mol/mol), temperature (30 °C), and aqueous concentration of (18% v/v) afforded the highest conversion for the model transphosphatidylation of phosphatidylcholine with monoolein, yielding 87% in 2 h. The study additionally proposes a reaction mechanism based on molecular simulation, elegantly elaborating the structural constraints (substrate configuration and character of the fatty acid residues) for access to the active site of PLD accordingly for lower yield of BDPs. The successful system designed for the production of high-valuable Hemi-BMP and BDP-analogues demonstrated in this work promises to enhance the understanding of these complex phospholipids, leading to new scientific breakthroughs. © 2023 American Chemical Society.

15.
International Journal of Mental Health Promotion ; 25(2):193-206, 2023.
Article in English | Scopus | ID: covidwho-2287485

ABSTRACT

This study explored the effect of perceived social isolation on the mental health of college students during the high-risk period of COVID-19 transmission in Hubei, China and the role of social support from online friends in alleviating this effect. The questionnaire responses of 213 college students from four universities in Hubei were included. Measurement and structural models were constructed using structural equation modeling. The findings revealed that perceived social isolation while under home quarantine was a negative predictor of the mental health of college students in Hubei. Low social support from online friends may lead to a relatively strong relationship between perceived social isolation and mental health in these college students, whereas high social support from online friends may lead to a relatively weak relationship between perceived social isolation and mental health. © 2023, Tech Science Press. All rights reserved.

16.
Journal of Social Computing ; 3(4):322-344, 2022.
Article in English | Scopus | ID: covidwho-2285084

ABSTRACT

The COVID-19 pandemic has severely harmed every aspect of our daily lives, resulting in a slew of social problems. Therefore, it is critical to accurately assess the current state of community functionality and resilience under this pandemic for successful recovery. To this end, various types of social sensing tools, such as tweeting and publicly released news, have been employed to understand individuals' and communities' thoughts, behaviors, and attitudes during the COVID-19 pandemic. However, some portions of the released news are fake and can easily mislead the community to respond improperly to disasters like COVID-19. This paper aims to assess the correlation between various news and tweets collected during the COVID-19 pandemic on community functionality and resilience. We use fact-checking organizations to classify news as real, mixed, or fake, and machine learning algorithms to classify tweets as real or fake to measure and compare community resilience (CR). Based on the news articles and tweets collected, we quantify CR based on two key factors, community wellbeing and resource distribution, where resource distribution is assessed by the level of economic resilience and community capital. Based on the estimates of these two factors, we quantify CR from both news articles and tweets and analyze the extent to which CR measured from the news articles can reflect the actual state of CR measured from tweets. To improve the operationalization and sociological significance of this work, we use dimension reduction techniques to integrate the dimensions. © 2020 Tsinghua University Press.

17.
Human Immunology ; 83:119-119, 2022.
Article in English | Web of Science | ID: covidwho-2169786
18.
5th International Conference on Intelligent Autonomous Systems, ICoIAS 2022 ; : 220-224, 2022.
Article in English | Scopus | ID: covidwho-2136306

ABSTRACT

Disinfection robots, which replace human efforts to disinfect the environment, are becoming popular due to the ongoing impact of COVID-19. To address the existing problems of imperfect and costly automatic charging systems for disinfection robots, this paper designs an automatic charging system for disinfection robots based on structure-Aware semantic mapping, which optimizes the automatic charging scheme for robots and integrates LIDAR and infrared modules to achieve the goal. Firstly, the data is associated with the charging pile's priori information through structure perception, and the identified semantic information is mapped into the local map of the robot SLAM. Then the infrared module is used to adjust the position of the charging port to align with the charging pile, and TOF laser distance measuring function is also added to avoid damage to the charging pile from the disinfection robot. In 50 times of simulation experiments, our proposed automatic charging system achieves an accurate alignment rate of 96%. © 2022 IEEE.

19.
31st ACM International Conference on Information and Knowledge Management, CIKM 2022 ; : 1481-1490, 2022.
Article in English | Scopus | ID: covidwho-2108339

ABSTRACT

The spread of COVID-19 throughout the world has led to cataclysmic consequences on the global community, which poses an urgent need to accurately understand and predict the trajectories of the pandemic. Existing research has relied on graph-structured human mobility data for the task of pandemic forecasting. To perform pandemic forecasting of COVID-19 in the United States, we curate Large-MG, a large-scale mobility dataset that contains 66 dynamic mobility graphs, with each graph having over 3k nodes and an average of 540k edges. One drawback with existing Graph Neural Networks (GNNs) for pandemic forecasting is that they generally perform information propagation in a flat way and thus ignore the inherent community structure in a mobility graph. To bridge this gap, we propose a Hierarchical Spatio-Temporal Graph Neural Network (HiSTGNN) to perform pandemic forecasting, which learns both spatial and temporal information from a sequence of dynamic mobility graphs. HiSTGNN consists of two network architectures. One is a hierarchical graph neural network (HiGNN) that constructs a two-level neural architecture: county-level and region-level, and performs information propagation in a hierarchical way. The other network architecture is a Transformer-based model that captures the temporal dynamics among the sequence of learned node representations from HiGNN. Additionally, we introduce a joint learning objective to further optimize HiSTGNN. Extensive experiments have demonstrated HiSTGNN's superior predictive power of COVID-19 new case/death counts compared with state-of-the-art baselines. © 2022 Owner/Author.

20.
Artificial Neural Networks and Machine Learning - Icann 2022, Pt Iii ; 13531:531-543, 2022.
Article in English | Web of Science | ID: covidwho-2094414

ABSTRACT

Coronavirus 2019 has brought severe challenges to social stability and public health worldwide. One effective way of curbing the epidemic is to require people to wear masks in public places and monitor their mask-wearing states by suitable automatic detectors. However, existing models struggle to simultaneously achieve the requirements of both high precision and real-time performance. To solve this problem, we propose an improved lightweight face mask detector based on YOLOv5, which can achieve an excellent balance of precision and speed. Firstly, a novel backbone ShuffleCANet that combines ShuffleNetV2 network with Coordinate Attention mechanism is proposed as the backbone. Afterward, an efficient path aggression network BiFPN is applied as the feature fusion neck. Furthermore, the localization loss is replaced with alpha-CIoU in model training phase to obtain higher-quality anchors. Some valuable strategies such as data augmentation, adaptive image scaling, and anchor cluster operation are also utilized. Experimental results on AIZOO face mask dataset show the superiority of the proposed model. Compared with the original YOLOv5, the proposed model increases the inference speed by 28.3% while still improving the precision by 0.58%. It achieves the best mean average precision of 95.2% compared with other seven existing models, which is 4.4% higher than the baseline.

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