ABSTRACT
In recent years, due to the impact of COVID-19 around the world, there has been a serious shortage of medical resources. In order to supplement the manpower and fear that medical staff's contact with patients will cause a breach in the epidemic, reduce the workload of nurses, and help nurses perform repetitive tasks so that nurses can concentrate more on the patient's condition. Therefore, this paper proposes M-Robot, which is a friendly interface service robot based on the Android system and can be controlled by voice, touch, and remote control in the medical care field. The system is mainly divided into two parts. One is the web server. The web server is divided into two parts: front-end and back-end. The front-end is responsible for friendly user interface management, and the back-end is for accessing the SQLite database, as well as processing speech recognition and semantic understanding in voice services. In the other part, we use TEMI robot to develop and complete the desired service. Its service content includes environment introduction, delivery service, questionnaire survey, broadcast car, scheduling reminder, follow-up record, and patient instruction video. In the voice control mode, the user can say the wake-up word to the robot and say the required service content, and the robot will execute after receiving the message;in the remote control mode, we provide a friendly web interface for remote control. As well as the information needed to manage various services. © 2022 IEEE.
ABSTRACT
To observe the synergistic effect of garlic essential oil in patients with novel coronavirus disease (COVID-19), in addition to the routine treatment, we used garlic essential oil in COVID-19 patients with mild to moderate symptoms and compared their results to those of patients who did not receive the essential oil. We conducted a quasi-experimental study with COVID-19 patients from 3 hospitals. In the experimental group, 97 patients received garlic essential oil combined with conventional treatment. In the control group, 100 patients received only the conventional treatment for COVID-19. The effectiveness and safety of the garlic essential oil were assessed. Compared to the control group, the group receiving garlic essential oil showed a shorter duration of symptoms, shorter time to negative nucleic acid testing (NAT) results and shorter time to improvement on the computed tomography (CT). In the same period, the experimental group showed an increase in the rate of the disappearance of symptoms and the improvement rates of NAT and CT. Due to its effectiveness and safety in patients with COVID-19, garlic essential oil is recommended as a preventive measure or a supportive therapy during the COVID-19 pandemic.
ABSTRACT
Objective To prepare antiserum against S protein of SARS-CoV-2 and preliminarily develop a method for determination of antigen content in inactivated SARS-CoV-2 vaccine. Methods Goats and rabbits were immunized with recombinant S protein of SARS-CoV-2, and the obtained antisera were determined for titer by indirect ELISA and neutralization assay and for specificity by Western blot, then purified by protein G resin affinity chro-matography. A sandwich ELISA for determination of antigen content of inactivated SARS-CoV-2 vaccine was developed by using purified goat antibody as capture antibody and purified rabbit antibody as detection antibody. Results The titer of antiserum of goats after immunization for 4 times reached 220 000 by ELISA and 1 536 by neutralization assay, while that of rabbits after immunization for 3 times reached 220 000 by ELISA and 4 096 by neutralization assay. Both goat and rabbit antibodies showed specific binding to the S protein of SARS-CoV-2. A double antibody sandwich ELISA method for determination of antigen content was successfully developed by using the purified antibodies, which showed a good linearity with a R2 value of more than 0. 99. Conclusion High titer goat and rabbit antisera against S protein of SARS-CoV-2 were prepared successfully, and double antibody sandwich ELISA method for determination of antigen content of inactivated SARS-CoV-2 vaccine was preliminarily developed. © 2021 Changchun Institute of Biological Products. All rights reserved.
ABSTRACT
Suffering globally by COVID-19 since 2020 constrained learner and worker outdoors, of which campus and public area naturally met environmental protection issue. In such cases, a newly AI moveable application, naming Self-Driving Sweeper Bot (SDSB), is invented by intelligently coordinating between self-driving system and sweeper mechanism. In this paper, the perspective on SDSB in terms of human visual knowledge and intelligence between pedestrian security and sweeping efficiency in campus is reported. To reach such a goal, our investigation is shown that human visual knowledge and intelligence, played a critical role requiring routinely collecting and learning visual dataset, accompanied with optimizing procedure by exploring the object recognition methods e.g., CNN, R-CNN, Fast-RCNN and Yolo, for detecting campus objects (including, pedestrians, vehicles, common rubbishes, i.e. fallen leaves, waste papers, plastic bottles etc.), and image segmentation techniques e.g., U-net for constraining sweeping road. In the preliminarily experiments, observation is shown that the factors for object detection and road segmentation in terms of weather, sunshine direction and shadowing/non-shadowing by trees and facilities are highly influencing on SDSB visual intelligence. © 2021 IEEE.
ABSTRACT
Objective To prepare high titer neutralizing antiserum against SARS-CoV-2. Methods SPF rabbits were immunized with RBD protein of SARS-CoV-2, expressed in 293 cells, as an immunogen. The prepared antiserum was determined for titer by ELISA and microneutralization test, and distributed to several manufacturers for development of inactivated SARS-CoV-2 vaccine for determination of titer. Results After 3 times of immunization, the antiserum titer reached more than 1 600 000, while the neutralizing titer was 8 192. The geometric mean titer (GMT) determined by microneutralization test in five manufacturers was 6. 950. Conclusion High titer neutralizing antiserum against SARS-CoV-2 was successfully prepared and distributed to several manufacturers of inactivated SARS-CoV-2 vaccine candidate for virus identification and adventitious virus agent test, which broke through the technical bottleneck restricting the rapid development of SARS-CoV-2 vaccine. © 2020 Changchun Institute of Biological Products. All rights reserved.
ABSTRACT
Objective: To summarize the clinical characteristics and liver biochemical parameters of 324 cases admitted with novel coronavirus pneumonia in Shanghai area. Methods: Clinical data and baseline liver biochemical parameters of 324 cases with novel coronavirus pneumonia admitted to the Shanghai Public Health Clinical Center from January 20, 2020 to February 24, 2020 were retrospectively analyzed. Patients were divided into two groups based on the status of illness: mild type (mild and typical) and severe type (severe and critical).The differences in clinical data and baseline liver biochemical parameters of the two groups were described and compared. The t-test and Wilcoxon rank-sum test were used for measurement data. The enumeration data were expressed by frequency and rate, and chi-square test was used. Results: Of the 324 cases with novel coronavirus pneumonia, 26 were severe cases (8%), with median onset of 5 days, 20 cases were HBsAg positive (6.2%), and 70 cases (21.6%) with fatty liver, diagnosed with X-ray computed tomography. Alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), γ-glutamyl transferase (GGT), total bilirubin (TBil), albumin(ALB) and international normalized ratio (INR) of 324 cases at baseline were 27.86 ± 20.02 U/L, 29.33 ± 21.02 U/L, 59.93 ± 18.96 U / L, 39.00 ± 54.44 U/L, 9.46 ± 4.58 µmol / L, 40.64 ± 4.13 g / L and 1.02 ± 0.10. Of which, ALT was > than the upper limit of normal (> ULN), accounting for 15.7% (51/324). ALT and AST > ULN, accounting for 10.5% (34/324). ALP > ULN, accounting for 1.2% (4/324). ALP and GGT > ULN, accounting for 0.9% (3/324). INR > ULN was lowest, accounting for 0.6% (2/324). There were no statistically significant differences (P > 0.05) in ALT [(21.5 vs. 26) U / L, P = 0.093], ALP [(57 vs.59) U/L, P = 0.674], and GGT [(24 vs.28) U/L, P = 0.101] between the severe group and the mild group. There were statistically significant differences in AST (23 U/L vs. 34 U/L, P < 0.01), TBil (10.75 vs. 8.05 µmol / L, P < 0.01), ALB (35.79 ± 4.75 vs. 41.07 ± 3.80 g/L, P < 0.01), and INR (1.00 vs. 1.04, P < 0.01). Conclusion: The baseline liver biochemical parameters of 324 cases with novel coronavirus pneumonia in Shanghai area was comparatively lower and the liverinjury degree was mild, and the bile duct cell damage was rare.