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Proceedings of SPIE - The International Society for Optical Engineering ; 12552, 2023.
Article in English | Scopus | ID: covidwho-20241893


This work utilizes Sentinel-2A L1C remote sensing photographs from the years 2018, 2020, and 2022 to identify the different land use categories in the study area using the support vector machine (SVM) technique. The accuracy of categorization is greater than 90%. This research explores four factors of the dynamic change in land use in Hongta District from 2018 to 2022: the proportion of various types of land;the extent of something like the changing land usage;land use transfer;and the dynamic degree of the change in land use. According to the study's results, the proportion of cultivated and grassland land grew, while the quantity of barren and construction land fell by 1.90 percent, 0.03 percent, and 0.69 percent, respectively. The water system land portion of total area increased by 2.58 percent and 0.13 percent, respectively. After comparing the two research periods, the entire dynamic degree of the second stage is determined to be 3.5 percent lower than that of the first stage, and the pace of land use change is quite sluggish, which may be associated with the worldwide COVID-19 outbreak in 2020. The outcomes of the research may give the natural resources department the knowledge it needs to manage land resources properly. © 2023 SPIE.

12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2022 ; : 1061-1065, 2022.
Article in English | Scopus | ID: covidwho-2120694


The outbreak of the coronavirus pandemic in 2019, declared as a major public health emergency, profoundly affected the mental health of older adults. Several studies have provided reasonable recommendations to alleviate these effects. A vital role was played by healthcare robots in providing the psychosocial care to the older adults. This review analyzes relevant studies and addresses the research progress on the effects, recommendations, and robot-mediated therapy to alleviate mental health problems developed among older adults during the pandemic. Social robots can provide strong support for mental health. © 2022 IEEE.

Chemical Senses ; 46, 2021.
Article in English | EMBASE | ID: covidwho-1665915


Objectives: In this study, we propose to mine the GCCR database to capture the features of the prior diseases on the change of taste and smell in the COVID- 19 patients. Methods: The study information and detailed research plan are available on OSF individual homepage (https:// We used mixed linear regression models to test our hypothesis and the p-value of interaction will be concerned. Results: Overall, we got the final sample (n=26468), the final samples included 12438 participants, who were diagnosed with COVID-19. In the 12438 participants, the prior conditions were following: 1985 patients reported high blood pressure, 2046 patients reported obesity, 1368 patients reported they had lung disease (asthma/COPD), 1104 patients reported they had chronic sinus problems, 3562 patients reported they had seasonal allergies/hay fever. Multivariate regression analysis found that for patients with chronic sinusitis with COVID-19, the degree of smell and taste disorder is higher than that of patients with non-chronic sinusitis. Chronic sinusitis and COVID- 19 have an interactive effect on smell disorder (P<0.05), the status of state and other prior diseases will overestimate. The impact of COVID-19 on the degree of smell/taste loss, the recovery degree of smell/taste of patients with seasonal allergies/hay fever, were statistically significant in the three calibration models (P<0.05). Conclusion: COVID-19 participants who had more or more than one prior disease, those participants have worse smell/taste loss than those participants who had not the prior disease. This study may help us understand the possible involvement of comorbidities in COVID-19 patients who lose smell or taste and raise the concern of chemosensory dysfunction and commodity with COVID-19.