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1.
Annals of the Rheumatic Diseases ; 82(Suppl 1):1910, 2023.
Article in English | ProQuest Central | ID: covidwho-20245364

ABSTRACT

BackgroundSARS-CoV-2(Severe acute respiratory syndrome coronavirus 2) has been circulating worldwide for three years. It mainly causes upper respiratory tract infection, which can manifest as pulmonary infection and even respiratory distress syndrome in severe cases. Different autoantibodies can be detected in patients infected with COVID-19.ObjectivesTo explore autoantibodies related to rheumatic diseases after COVID-19 infection.MethodsNinety-eight inpatients were tested for antinuclear antibodies (ANA), antibodies to extractable nuclear antigens(ENA), anti-neutrophil cytoplasmic antibodies(ANCA), anticardiolipin antibodies,a-β2GPI (IgG/IgM). They were from a tertiary hospital in Guangzhou during the COVID-19 epidemic. Data were described statistically.ResultsNinety-eight hospitalized patients were tested for relevant antibodies. The average age was 50.64±19.54;67 (68.4%) were male, 64 (65.3%) were COVID-19 positive, 90 (90.9%) had rheumatic diseases, and 56 of them were COVID-19 positive patients with rheumatic diseases.There were 76 patients tested for antinuclear antibodies;29 (38.16%)were negative, 18 (23.68%)had a 1/80 titre, and 29(28.16%) had a titre greater than 1:80. The 31 covid patients were positive for ANA. In the high-titer group, 19 patients with rheumatic diseases were positive for COVID-19, and 12 patients had an exacerbation of the rheumatic diseases (6 of whom had previously had pulmonary fibrosis). Of 31 covid patients, only two were non-rheumatic patients, and both were elderly, aged 85 and 100, respectively.Fifty-six patients had ENA results, and 29 for positive antibodies, 8 for ds-DNA antibodies, 2 for anti-Sm antibodies, 6 for anti-nucleosome antibodies, 12 for anti-U1RNP antibodies, 2 for anti-Scl-70 antibodies, 12 for anti-SS-A antibodies, 3 for anti-mitochondrial M2 antibodies, 2 for anti-centromere antibodies, 1 for anti-Po antibodies, and one for anti-Jo-1 antibody. All 56 patients had rheumatic diseases, and no new patients were found.There were 62 patients with ANCA data. P-ANCA was positive in 12 cases(19.35%), and MPO-ANCA was positive in 2 cases. An 85-year-old non-rheumatic COVID-19 patient was P-ANCA positive. She had a history of hypertension, colon cancer, CKD3, coronary heart disease, and atrial flutter.In the anticardiolipin antibodies group, there were 62 patients;only 6 were positive, and 2 were rheumatic patients infected with COVID-19. Antiphospholipid antibodies were detected in 33 patients, and a-β2GPI was tested in one patient, an 82-year-old COVID-19 patient with gout, diabetes, and cerebral infarction in the past. We did not find a statistical difference in the above results.ConclusionWe have not found a correlation between SARS-CoV-2 and serum autoantibodies of rheumatic immune diseases. It needs large samples and an extended follow-up to research.AcknowledgementsThis work was supported by Scientific and Technological Planning Project of Guangzhou City [202102020150], Guangdong Provincial Basic and Applied Basic Research Fund Project [2021A1515111172], National Natural Science Foundation of China Youth Fund [82201998] and Third Affiliated Hospital of Sun Yat-Sen University Cultivating Special Fund Project for National Natural Science Foundation of China [2022GZRPYQN01].Disclosure of Interestsone declared.

2.
Proceedings of SPIE - The International Society for Optical Engineering ; 12597, 2023.
Article in English | Scopus | ID: covidwho-20235403

ABSTRACT

This paper aims to determine relationships between 160 matches statistics and the match results in two match stages of 2020 CSL under the COVID-19 pandemic prevention and control. A team's winning probability was evaluated by a two-standard-deviation increase in the value of each variable. The smallest worthwhile change was used to evaluate nonclinical magnitude-based inferences. The results showed that for group round robin stage, nine match statistics had clearly positive effects on the probability of winning (Shot, Shot on Target, Shot from Set Piece, Cross Accuracy, Counterattack, Won Challenge, Tackle Gaining, HIR Distance in BP, Sprinting Distance in BP), two had obviously negative effects (Distance Covered in Penalty Area, Sprinting Distance Out of BP), other twenty-three statistics had either trivial or unclear effects. While for the knockout stage, the effects of nine match statistics (Pass Accuracy, Forward Pass Accuracy, Delivery into Attacking Third, Delivery into Penalty Area, Dribble into Attacking Third, Corner, Foul Committed, Yellow Card, Distance Covered in Attacking Third) turned to clearly positive, the effects of Won Challenge, Cross Accuracy turned to trivial and clearly negative, respectively. Coaches and players should take these different aspects into account when planning practices and competitions for their teams. © 2023 SPIE.

3.
Voprosy Istorii ; 12(1):268-273, 2022.
Article in Russian | Web of Science | ID: covidwho-2218072

ABSTRACT

The article discusses the experience of creating oil paintings in the context of the coronavirus pandemic. The material for the analysis was the results of the author's plein air practice, presented in the album "Oil Painting by Liao Zhengding `Fields and haystacks in the surroundings of Pushkin'". Based on the current research literature regarding the COVID-19-pandemic impact on the arts, the article provides systematization and analysis of landscape works created by the author during self-isolation;a number of problematic issues of the "pandemic art" theory are brought into sharp focus.

5.
IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR) ; : 81-84, 2022.
Article in English | Web of Science | ID: covidwho-1927529

ABSTRACT

The COVID-19 pandemic created the largest disruption of education systems in history. Distance learning through online platforms were part of the solution. However, preclinical exercises to train psychomotor skills of learners have been challenging. The use of virtual reality (VR) in training medical students is innovative and has attracted much attention. In this study, authors presented the development of multi-user VR application for dental education. Our preliminary results showed the potential of using VR in the preclinical curriculum of dental education.

8.
IEEE Access ; 8:215691-215704, 2020.
Article in English | Scopus | ID: covidwho-998604

ABSTRACT

Unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) have been widely used in delivery. In the context of the COVID-2019, in order to control the development of the epidemic, many places have adopted measures to isolate and close the area once a confirmed case is found. While reducing the contact between people, it also blocks the normal driving of vehicles. Only by changing the traditional logistics and distribution methods can customers who have been in a closed and isolated area for a long time be served. Therefore, we use the Cooperative UGV-UAV to achieve it. In this article, when commanding cooperative UGV and UAV for emergency resource delivery, we mainly focus on two questions: How to accept the operation order (OPORD) from the commander, how to generate a nested vehicle routing planning. We first employ one intelligent task understanding module to drive the intelligent unmanned vehicles to accept and process the C-BML (Coalition Battle Management Language) formatted OPORD with 5W (what, who, where, why, when) elements. Then, we slove the nested vehicle routing planning problem as a mixed integer linear program (MILP) with the outputs of what is the UGV route, what is the UGV sortie, and how to control the customers' distribution between the UGV and the UAV. Experimental results of random instances and case study show that using the iterative improvement algorithm increase the speed rate of solving more than 10%. © 2020 IEEE.

9.
Acta Virol ; 64(3): 288-296, 2020.
Article in English | MEDLINE | ID: covidwho-803252

ABSTRACT

The recent outbreak of coronavirus disease (COVID-19) globally threatens the public health. COVID-19 is a pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), previously known as the 2019 novel coronavirus (2019-nCoV). Typical symptoms of COVID-19 include fever, cough and fatigue. As a novel disease, there are still many unsolved questions regarding COVID-19. Nevertheless, genetic analysis has demonstrated that the virus is strongly associated with certain SARS-like coronavirus originated from bats. The COVID-19 outbreak started in a seafood wholesale market in Wuhan, China, but the exact origin of the virus is still highly debatable. Since there is currently no registered antiviral drug for the disease, symptomatic treatments have been applied routinely to manage COVID-19 cases. However, various drugs and vaccines have been currently under research. This review aims to consolidate and discuss the likely origins and genetic features of SARS-CoV-2 as well as the recent clinical findings and potential effective treatments of COVID-19. Keywords: COVID-19; SARS-CoV-2; 2019-nCoV; SARS; coronavirus.


Subject(s)
Betacoronavirus/genetics , Coronavirus Infections/etiology , Coronavirus Infections/therapy , Pneumonia, Viral/etiology , Pneumonia, Viral/therapy , Animals , COVID-19 , China , Humans , Pandemics , SARS-CoV-2
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