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2.
20th International Conference on e-Society, ES 2022 and 18th International Conference on Mobile Learning, ML 2022 ; : 155-162, 2022.
Article in English | Scopus | ID: covidwho-2033885

ABSTRACT

The paper investigates how parents of American teenagers navigated teen social media use during the early months of the COVID-19 pandemic, amid school closures and stay-at-home orders. Through an online survey, parents of teenagers reported on teen engagement, happiness, and social media use along with their own levels and types of oversight related to that social media use. Findings showed that parents perceived their teens to be similarly or less engaged in school and social activities than usual, and generally happy with social media use contributing somewhat to that happiness. Parental monitoring of social media use was the same or lower than during pre-pandemic times overall, with some significant differences related to parent gender, teen age, and teen gender. © 2022 IADIS Press. All rights reserved.

3.
28th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2022 ; 119:127-140, 2023.
Article in English | Scopus | ID: covidwho-2013879

ABSTRACT

The covariance is a measure of the joint variability of two random variables forming a Cartesian coordinate. Variance is a special case of covariance, when two variables are the same. The root of variance is the standard deviation. The normalization of covariance to standard deviation is called Pearson correlation coefficient. The covariance for the region of first and third quadrant is called upper semi-covariance. The covariance for the region of second and fourth quadrant is called down semi-covariance. Here we present semi-covariance, an accurate ReLU (Rectified Linear Unit) way of measuring the non-linear correlation between variables. Our framework is applied to successfully analyze the association between alternative environment social life factors and the pandemic toll recovery health. The results of our analyses of the 2021 pandemic toll suggest that pesticide residual, annual precipitation, forest coverage, economy development, lifestyle, etc. have different impacts on toll of each country. The pesticide may kill immune system, pandemic lifestyle is impacted. We picked total 8 related factors from 22 countries in order to set up future model for digital twin that predicting pandemic trend. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

4.
Acta Medica Mediterranea ; 38(3):1471-1476, 2022.
Article in English | Scopus | ID: covidwho-1912456

ABSTRACT

Objective: To investigate the effect of the coronavirus disease 2019 (COVID-19) pandemic on patients with liver abscess associated with type 2 diabetes mellitus (T2DM). Methods: Data about consecutive cases of T2DM-associated liver abscess diagnosed and treated during the pandemic (January-April 2020) or earlier (January-April in 2017-2019) were compared. Results: A total of 177 patients (122 men;median age, 66 years;124 treated in 2017-2019 and 53 treated in 2020) were included in the study. Antibiotic therapy alone led to abscess resolution in 75 patients;the remaining 102 patients underwent successful abscess aspiration (n=56) or drain placement (n = 46). The mean random plasma glucose (15.9±2.7 vs 12.7±2.7 mmol/L;P<0.001), fasting plasma glucose (11.4±2.0 vs 10.6±2.0 mmol/L;P=0.017), and glycosylated hemoglobin A1c (9.1%±1.5% vs 7.8%±0.9%;P<0.001) levels at the presentation were higher among patients treated in 2020 than among those treated earlier. The mean interval between symptom onset and presentation was shorter for patients treated in 2020 (36.5±7.2 hours) than for those treated earlier (50.4±17.4 hours;P<0.001). The mean interval between presentation and diagnosis was longer among patients treated in 2020 (18.4±9.9 hours) than among those treated earlier (11.3±4.9 hours;P<0.001). Conclusions: The COVID-19 pandemic may have promoted the occurrence of liver abscess among patients with poorly controlled T2DM, and control measures for the pandemic may have led to delays in diagnosis. © 2022 A. CARBONE Editore. All rights reserved.

5.
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice ; 42(3):701-712, 2022.
Article in Chinese | Scopus | ID: covidwho-1791803

ABSTRACT

Building the index system of China's natural gas security and measuring the index have important meanings for on-line monitoring of natural gas safety, vigilance against potential risks of natural gas and guarantee of energy security. This paper innovatively applies the DMA-TVP-FAVAR model to build China's natural gas security comprehensive index (NGSI) from a dynamic perspective and systematically reviews its dynamic characteristics and transmission mechanism combined with the EEMD method and BP structure breaks test. The main conclusions are as follows: Since 2001, NGSI has shown a wavelike decrease. Specifically, short-term unbalanced factors mainly cause short-term fluctuation of NGSI, the effects of significant events are the main driving force for medium-term fluctuation of NGSI, and natural gas supply and demand fundamentals are the long-term inherent trend of NGSI. Besides, different monetary policy tools have different efficiency on NGSI, and price-based monetary policy instruments are more effective than quantitative monetary policy instruments. © 2022, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.

6.
Arthritis & Rheumatology ; 73:3004-3006, 2021.
Article in English | Web of Science | ID: covidwho-1728591
9.
Acs Applied Nano Materials ; 4(12):12, 2021.
Article in English | Web of Science | ID: covidwho-1586050

ABSTRACT

Using surface-initiated atom-transfer radical polymerization, temperature-responsive block polymers were functionalized on the surface of silica nanocapsules (SNCs) by a "grafting from" technique. Favipiravir, a potential medicine candidate for the treatment of coronavirus disease (COVID-19), was encapsulated in polymer-coated SNCs and further incorporated into welldefined films by layer-by-layer self-assembly. The multilayer films composed of polymer-coated SNCs and poly(methacrylic acid) (PMAA) homopolymers exhibited swelling/deswelling behaviors under the trigger of a temperature stimulus. For the first time, the impact of steric hindrance on the assembling behavior, swelling/ deswelling transition, and delivering capacity of nanocapsule-based multilayer films was investigated. SNCs with coronae of higher steric hindrance resulted in a larger layering distance during film growth. Moreover, the difference in the sustained release rates of the drug indicated their diverse diffusion coefficients and intermolecular interactions within the multilayer films, due to the presence of a methyl spacer at the amino group of nanocapsule coronae and weaker ionic pairing between SNC coronae and PMAA homopolymers. The profile of drug release from the films was dependent on the temperature value of the surrounding environment. At 37 and 40 degrees C, the films were able to efficiently entrap favipiravir, with as low as 50% released in 80 days, whereas a faster favipiravir release was triggered by exposure to a lower temperature value at 25 degrees C. This work demonstrates the first proof-of-concept platform of temperature-responsive SNC-incorporated multilayered films with a well-defined internal structure and a sustained release profile for on-demand in vitro drug delivery.

10.
29th ACM International Conference on Multimedia, MM 2021 ; : 3779-3782, 2021.
Article in English | Scopus | ID: covidwho-1533097

ABSTRACT

Due to the remarkable progress in recent years, deep face recognition is in great need of public support for practical model production and further exploration. The demands are in three folds, including 1) modular training scheme, 2) standard and automatic evaluation, and 3) groundwork of deployment. To meet these demands, we present a novel open-source project, named FaceX-Zoo, which is constructed with modular and scalable design, and oriented to the academic and industrial community of face-related analysis. FaceX-Zoo provides 1) the training module with various choices of backbone and supervisory head;2) the evaluation module that enables standard and automatic test on most popular benchmarks;3) the module of simple yet fully functional face SDK for the validation and primary application of end-to-end face recognition;4) the additional module that integrates a group of useful tools. Based on these easy-to-use modules, FaceX-Zoo can help the community to easily build stateof-the-art solutions for deep face recognition and, such like the newly-emerged challenge of masked face recognition caused by the worldwide COVID-19 pandemic. Besides, FaceX-Zoo can be easily upgraded and scaled up along with further exploration in face related fields. The source codes and models have been released and received over 900 stars at https://github.com/JDAI-CV/FaceX-Zoo. © 2021 ACM.

11.
Fa Yi Xue Za Zhi ; 37(4): 527-532, 2021 Aug.
Article in Chinese | MEDLINE | ID: covidwho-1481208

ABSTRACT

ABSTRACT: Abstract: Objective To analyze the first epidemic spread of the novel coronavirus Delta variant in China based on public security forensic perspective, investigate its transmission characteristics, contributing factors, and epidemiologic research experience, and provide a reference for the prevention and control of the epidemic caused by the novel coronavirus variant. Methods Based on the information that public security forensic experts obtained from front-line epidemiologic research, the gender, age, place of residence, transmission route and infectivity of the coronavirus disease 2019 (COVID-19) confirmed cases, asymptomatic infected persons and their close contacts in Guangzhou caused by the novel coronavirus Delta variant were analyzed. The basic reproduction number (R0) during this epidemic in Guangzhou was calculated. Results Among the 153 cases infected with novel coronavirus Delta variant in the epidemic, 63 cases were male and 90 cases were female, their age ranging from 1 to 92 years, with a median age of 49 years. The main route of transmission was close contact, including dining together, co-living, and close contact in the same residential building. There were 31 cases of family clusters, 25 of which were in Liwan District. The epidemic lasted from May 26 to May 29, and the R0 remained above 4.0. After May 30, R0 began to decline and remained below 1.0 from June 7. Conclusion The novel coronavirus Delta variant is highly infectious, the crowd is generally susceptible to infection and family cluster cases are easy to occur. So, it is necessary to precisely prevent and control this strain. Public security forensic experts have both medical literacy and criminal investigation capabilities, they can play a more professional role in epidemic prevention and control.


Subject(s)
COVID-19 , Epidemics , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , China/epidemiology , Female , Humans , Infant , Male , Middle Aged , SARS-CoV-2 , Young Adult
12.
Vascular Medicine ; 26(5):NP11-NP12, 2021.
Article in English | Web of Science | ID: covidwho-1464534
13.
2021 IEEE International Conference on Artificial Intelligence and Industrial Design, AIID 2021 ; : 130-133, 2021.
Article in English | Scopus | ID: covidwho-1393644

ABSTRACT

Covid-19 Pandemic has a unique impact on the economy as other infectious diseases. Epidemics affect people's daily consumption activities, for example, by causing them to shop less, travel less, consume less and invest less. The reduction of a large number of economic activities leads to the suppression of social demand and the reduction of consumption level, which further affects the GDP of various countries around the world. It is necessary to investigate and analyze the impact of the epidemic on GDP in order to control and analyze the economic situation under the impact of the epidemic. In this paper, we take the impact of COVID-19 on the GDP of each country as a regression problem, and propose to forecast GDP through feature engineering combined with Aaboost model. The model was tested on more than 50, 000 data records from more than 200 countries provided by the Kaggle platform to prove the validity. The experiment shows that Adaboost has stronger robustness compared with other methods, such as random forest, SVR. Adaboost improves the MSE of random forest by 2.39 and SVR by 0.38. © 2021 IEEE.

14.
Blood ; 136:25-26, 2020.
Article in English | EMBASE | ID: covidwho-1344053

ABSTRACT

Introduction To further improve efficacy and duration of response of CAR-T therapy for Relapsed/Refractory Multiple Myeloma (R/R MM), we have designed a dual FasT CAR-T targeting both B cell maturation antigen (BCMA), a well-established MM target, and CD19, which is expressed on MM cells and their progenitors. Here we report early results from the first-in-human multicenter clinical study (NCT04236011;NCT04182581) to determine safety, pharmacokinetics (PK) and efficacy of BCMA-CD19-directed FasT CAR-T (GC012F) in patients with R/R MM. Methods The BCMA-CD19 dual CAR was constructed by linking BCMA and CD19 scFv, joined by a CD8 hinge, transmembrane domain, co-stimulatory domain and CD3z. Peripheral blood (PB) mononuclear cells were obtained by leukapheresis, T cells were isolated and CAR-T cells were manufactured (FasT CAR platform). From September 2019 to April 2020, we enrolled 16 heavily pretreated R/R MM patients (Age range 27-71), with a median of 5 prior lines of therapies (range 2-7), 93.8% (15/16) of these patients were high risk as defined by mSMART criteria, 5 had extramedullary disease. 4 out of 16 patients had received prior anti CD38 therapy, 93.8% (15/16) patients had received prior IMiD, all patients received at least 1 prior PI and corticosteroids with 3 patients being primary refractory to last therapy. Prior to CAR-T infusion patients received a conditioning regimen over 3 days of 30 mg/m2/d fludarabine and 300 mg/m2/d cyclophosphamide. CAR-T cells were administered in a single infusion at 3 dose levels 1x105/Kg (DL1) (1 patients), 2x105/Kg (DL2) (9 patients) and 3x105/Kg (DL3) (6 patients). Results As of July 17th 2020, all 16 patients were evaluable for response assessment, 15 out of 16 patients responded to treatment (ORR 93.8%) in all dose levels with the earliest response observed at day 28. Best response to date is MRD- CR/sCR in 9/16 patients (56.3%). In DL3 100% (6/6) of patients achieved sCR, 3 at data cut off had been confirmed by PET-CT. In all response evaluable patients, 78.6% (11/14) were MRD- by flow at month 1, and 100% at month 3 (11/11) and 6 (10/10) (sensitivity by flow cytometry measured at 10-4 in 7 patients, and at 10-6 in 9 patients tested by EuroFlow with at least 1.08x107 cells analyzed). At data cut off, the median follow up time was 7.3 months, the longest follow up was 10 months post infusion. CAR-T PK in PB was monitored by qPCR and flow cytometry. The CAR-T median proliferation peak was reached on Day10 (Day8-Day14), and the median peak copy number was 140,982 (16,011-374,346) copies /ug DNA. GC012F showed an acceptable safety profile with 14 out of 16 patients experiencing a cytokine release syndrome (CRS) grade 1-2 (n=14, 87.5%) and 2 grade 3 (n=2, 12.5%). The median duration of CRS was 4 days (1-8 days). No neurotoxicity of any grade was observed. One patient (DL2) presented with fever and died shortly after Day 78 of unknown cause during the COVID-19 Pandemic. Two patients had progression of extramedullary disease while achieving MRD negativity at month 1 and 3, respectively. At landmark analysis at 6 months, all patients in DL3 had achieved and maintained MRD- sCR including patients heavily pretreated including Daratumumab - among them 83.3% (5/6) patients in DL3 had high risk features according to mSMART criteria, and 5 out of 6 patients in DL3 were assessed by 10-6 Euroflow for MRD. The study is still enrolling patients and we will continue to be monitoring safety and efficacy including duration of response. Conclusion The data of BCMA-CD19 dual FasT CAR-T showed an early and high response rate with 93.8% ORR to date with a promising early high MRD-sCR rate in the highest dose level DL3 (100%) which was sustained with a median duration of follow up of 7.3 months at cut off. The data shows very promising activity of the BCMA-CD19 dual FasT CAR-T with a favorable safety profile in R/R MM patients. 93.8% (15/16) of the treated patients exhibited high risk features - a specifically difficult to treat patient population which remains a high unmet medical need in Mul iple Myeloma. This data indicates that BCMA-CD19 dual FasT CAR-T (GC012F) may present an effective new treatment option for patients with R/R MM including those with high-risk features who failed multiple prior therapies including anti-CD38. The study is still ongoing and enrolling patients, we will update the results as they become available. Disclosures: Zhao: Gracell Biotechnologies Ltd: Current Employment. Han: Gracell Biotechnologies Co., Ltd.: Current Employment. Chen: Gracell Biotechnologies Ltd: Current Employment. Xu: Gracell Biotechnologies Ltd: Current Employment. Zhang: Gracell Biotechnologies Ltd: Current Employment. He: Gracell Biotechnologies Co., Ltd.: Current Employment. Shi: Gracell Biotechnologies Ltd: Current Employment. Han: Gracell Biotechnologies Co., Ltd.: Current Employment. Ye: Gracell Biotechnologies Co., Ltd.: Current Employment. Wang: Gracell Biotechnologies Ltd: Current Employment. Liu: Gracell Biotechnologies Co., Ltd.: Current Employment. Shen: Gracell Biotechnologies Ltd: Current Employment. Cao: Gracell Biotechnologies Ltd: Current Employment. Sersch: Gracell Biotechnologies Co., Ltd.: Current Employment.

15.
Journal of Microbiology Immunology and Infection ; 54(1):54-60, 2021.
Article in English | Web of Science | ID: covidwho-1272554

ABSTRACT

Background: The current outbreak of coronavirus disease 2019 (COVID-19) caused by Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Wuhan, Hubei, China, spreads across national and international borders. Methods: We prospectively collected medical records of 14 health care workers (HCWs) who were infected with SARS-CoV-2, in neurosurgery department of Wuhan Union Hospital, China. Results: Among the 14 HCWs, 12 were conformed cases, the other 2 were suspected cases. Most of them were either exposed to the two index patients or infected coworkers, without knowing they were COVID-19 patients. There were 4 male and 10 female infected HCWs in this cohort, whose mean age was 36 years (SD, 6 years). The main symptoms included myalgia or fatigue (100%), fever (86%) and dry cough (71%). On admission, 79% of infected HCWs showed leucopenia and 43% lymphopenia. Reduced complement C3 could be seen in 57% of the infected HCWs and IL-6 was significantly elevated in 86% of them. The proportion of lymphocytes subsets, concentrations of immunoglobulins, complement C4, IL-2, IL-4, IL-10, TNF-a and IFN-g were within normal range in these 14 infected HCWs. The most frequent findings on pulmonary computed tomographic images were bilateral multifocal ground-glass opacifications (86%).

16.
IEEE Signal Processing Letters ; 2021.
Article in English | Scopus | ID: covidwho-1197074

ABSTRACT

Near-infrared to visible (NIR-VIS) face recognition is the most common case in heterogeneous face recognition, which aims to match a pair of face images captured from two different modalities. Existing deep learning based methods have made remarkable progress in NIR-VIS face recognition, while it encounters certain newly-emerged difficulties during the pandemic of COVID-19, since people are supposed to wear facial masks to cut off the spread of the virus. We define this task as NIR-VIS masked face recognition, and find it problematic with the masked face in the NIR probe image. First, the lack of masked face data is a challenging issue for the network training. Second, most of the facial parts (cheeks, mouth, nose) are fully occluded by the mask, which leads to a large amount of loss of information. Third, the domain gap still exists in the remaining facial parts. In such scenario, the existing methods suffer from significant performance degradation caused by the above issues. In this paper, we aim to address the challenge of NIR-VIS masked face recognition from the perspectives of training data and training method. Specifically, we propose a novel heterogeneous training method to maximize the mutual information shared by the face representation of two domains with the help of semi-siamese networks. In addition, a 3D face reconstruction based approach is employed to synthesize masked face from the existing NIR image. Resorting to these practices, our solution provides the domain-invariant face representation which is also robust to the mask occlusion. Extensive experiments on three NIR-VIS face datasets demonstrate the effectiveness and cross-dataset-generalization capacity of our method. IEEE

17.
Chinese Journal of Radiology (China) ; 55(3):304-308, 2021.
Article in Chinese | Scopus | ID: covidwho-1154581
19.
Zhonghua Yi Xue Za Zhi ; 100(47): 3747-3750, 2020 Dec 22.
Article in Chinese | MEDLINE | ID: covidwho-1004768
20.
Zhonghua Liu Xing Bing Xue Za Zhi ; 41(10): 1606-1610, 2020 Oct 10.
Article in Chinese | MEDLINE | ID: covidwho-967098

ABSTRACT

Objective: To evaluate effectiveness of prevention and control strategies for COVID-19 in Ningbo by using an epidemic dynamic model. Methods: The incidence data and epidemic information of COVID-19 reported in Ningbo as of 9 March, 2020 were collected, and based on the implementation of prevention and control strategies, we developed a SEIR epidemic dynamics model. The basic and real-time reproduction numbers were calculated to evaluate effectiveness of prevention and control. Results: A total of 157 cases of COVID-19 were confirmed, without death, in Ningbo. The proportion of severe cases was 12.1%. The mean incubation period was estimated to be (5.7±2.9) days. The mean interval from illness onset to diagnosis was (5.4±3.7) days. The mean duration from diagnosis to hospital discharge was (16.6±6.5) days. A total of 105 339 contacts had been under medical observation. The infection rates in contacts with home quarantine and centralized quarantine were 0.1% and 0.3%, respectively. In the confirmed cases, those who had been under medical observation before diagnoses accounted for 63.1%. The basic reproduction number was estimated to be 4.8. With the strengthening of prevention and control measures, real-time reproduction number showed a gradual downward trend, dropping to below 1.0 on 4 February, and then continued to drop to 0.2 in mid-February. Conclusion: The effectiveness of the prevention and control measures for COVID-19 in Ningbo can be evaluated by using epidemic dynamic model to provide scientific evidence for the development of the prevention and control strategies.


Subject(s)
COVID-19/epidemiology , COVID-19/prevention & control , Models, Theoretical , Pandemics , Basic Reproduction Number , China/epidemiology , Humans , Incidence , Quarantine
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