ABSTRACT
The development of the COVID-19 epidemic has increased the home learning time of children. More researchers began to pay attention to children's learning in home. This survey reviewed the frontier and classic cases in the field of interactive design of children's home learning in the past five years, analyzed tangible user interface, augmented reality, and multimodal interaction in human-computer interaction of children's home learning. This paper reviewed the application of interactive system in children's learning and points out its positive side in development of ability, process of learning, habits of learning, and environment of learning of children. Through analysis, we advise that it is necessary to create home learning applications, link smart home systems, and build an interactive learning environment for smart home learning environment design. Finally, we point out the technical and ethical problems existing in the current research, proposes that intelligent perception, emotion recognition, and expression technologies should be introduced in the future, and looks forward to the development of this field. © 2023 Institute of Computing Technology. All rights reserved.
ABSTRACT
Due to the outbreak of the COVID-19 pandemic, firms and institutions have to shift to work from home to prevent the spreading of the pandemic. As a public sector, employees in government institutions also collaborate online during the lockdown. Collaboration online has been identified as a challenge for employees. While our understanding of how employees' perception and trust of the e-government is still limited. To address this research gap, this study intends to investigate the antecedents of employees' trust in e-government during their work process in the new normal. By conducting a qualitative study with 14 in-depth interviews with employees with e-government experience during the COVID-19 pandemic, we extracted several key antecedents of employees' trust in e-government. Based on the qualitative data analysis, a theoretical model of trust antecedents was proposed. Our study provides a deep understanding of the specific antecedents of employees' trust in the e-government context. © 2022 IEEE Computer Society. All rights reserved.
ABSTRACT
Aim To explore the feasibility of the micro- dynamic chromogenic method for quantitative detection of bacterial endotoxin in recombinant novel coronavirus vaccine ( CHO cell).Methods The micro-dynamic color method of Limulus reagent was used to establish a bacterial endotoxin standard curve.The dilution factor was determined through interference pre -experiment, the recoverv rate of the endotoxin added to the test so- J lution was determined, and the interference test to complete the quantitative detection test of the bacterial endotoxin content in the test product was performed, and the results were compared with those of the gel-clot method.Results Hie linear range of the concentration of the standard curve was 0.02 to 2.0 EU * mL 1 , and the regression equation of the standard curve was lgT =-0.302 7 lgC +2.858 7( r = 0.998 9).When recombinant novel coronavirus vaccine ( CHO cell) was cliluted 40 times or below, the micro -dynamic chromogenic reagent did not interfere with the bacterial endotoxin agglutination reaction, and the recovery rate was 50% to 200%.The test results were consistent with the gel- clot method.Conclusions The micro-dynamic chromogenic method can be used for the quantitative detection of bacterial endotoxins in recombinant novel coronavirus vaccine ( CHO cell) with accurate results, high sensitivity, and process monitoring. Copyright © 2022 Publication Centre of Anhui Medical University. All rights reserved.
ABSTRACT
The concept of intelligent development of the logistics industry has been put forward to promote the deep integration of new generation information technology such as big data, block chain, 5G, artificial intelligence and its intelligent facilities and equipment with logistics activities. While in recent years, the outbreak of the COVID-19 has not only attracted worldwide attention, but also posed a challenge to the emergency logistics guarantee system throughout China in the process of epidemic prevention and control. In this paper, based on the existing research, the mechanism of material circulation under emergency is explored and improved based on blockchain with cryptography and smart contract technologies. After innovation and optimization, the mechanism makes it possible to improve the technology of emergency logistics and the level of deep application of wisdom, providing reasonable suggestions and improvement measures for the future management system. © 2021 IEEE.
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Objective: To investigate the clinical manifestations of the clinical characteristics of 141 patients with coronavirus disease 2019 (COVID-19) and the imaging evolution characteristics of High Resolution CT (HRCT) in the chest. Methods: From January 20, 2020 to February 8, 141 COVID-19 patients in Renmin Hospital of Wuhan University, 77 males and 64 females, with a median age of 49 (9,87) , were retrospectively analyzed. The clinical features, laboratory examination indexes and HRCT evolution findings of 141 COVID-19 patients were analyzed. Results: Laboratory examinations of 141 COVID-19 patients showed a decrease in white blood cell count and lymphocyte ratio. Among the 141 patients with COVID-19, fever (>37.5 â) was the most common clinical manifestation in 139 cases (98.58%) , and occasionally non-respiratory symptoms such as diarrhea in 4 cases (2.84%) . 141 patients with COVID-19 had abnormal HRCT. 52 (36.88%) chest HRCT images showed ground-glass opacity (GGO) , mainly under pleural; 23 (16.31%) GGO with focal consolidation; 27 (19.15%) small flaky shadows; 20 cases (14.18%) large flaky consolidation shadows; 48 cases (34.04%) bronchovascular bundle thickening and vascular penetrating signs; 5 cases (3.55%) had air bronchial signs; 7 cases (4.96%) of small nodule shadows; 5 cases (3.55%) of fibrosis, grid shadows or strand shadows.135 cases (95.74%) were positive for the first time nucleic acid test, 6 cases (4.26%) were negative, and 71 cases (50.35%) of common type, 47 cases (33.33%) of severe type and 23 cases (16.31%) of critical type were found during the same period. The average time from onset of each type to the first CT examination was: (2.51±1.32) , (5.02±2.01) , and (5.91±1.76) days; 19 (19/47, 40.43%) of which were severe for the first time CT classification worsened at the second examination and lessened at the third examination. 141 cases (100%) were positive for the second nucleic acid test, and the HRCT results for the same period were 44 cases (31.21%) of common type, 53 cases (37.59%) of severe type, and 44 cases (31.21%) of critical type; the average interval time was (3.32±1.61) , (3.93±1.84) , (4.15±1.57) days;the third nucleic acid test were positive among 113 cases and 28 cases were negative, HRCT results of the same period were 79 cases (56.03%) of common type, 46 cases (32.62%) of severe type, and 16 cases (11.35%) of critical type;the average interval from the first CT examination were: (5.59±1.83) , (7.32±1.37) , (7.55±1.78) days. The differences in CT typing at different time were statistically significant (P<0.05) . Conclusion: The clinical features of COVID-19 and HRCT images are diverse, extensive GGO and infiltrates in both lungs are typical. Viral nucleic acid tests usually occur earlier or at the same time as the CT examination positive, and there are false negatives in nucleic acid tests. In some epidemiological backgrounds, CT imaging manifestations and evolutionary characteristics are of great significance for early warning of lung injury, assessment of disease severity, and assistance in clinical typing and post-treatment follow-up.