Cytokines play pleiotropic, antagonistic, and collaborative in viral disease. The high morbidity and mortality of coronavirus disease 2019 (COVID-19) make it a significant threat to global public health. Elucidating its pathogenesis is essential to finding effective therapy. A retrospective study was conducted on 71 patients hospitalized with COVID-19. Data on cytokines, T lymphocytes, and other clinical and laboratory characteristics were collected from patients with variable disease severity. The effects of cytokines on the overall survival (OS) and event-free survival (EFS) of patients were analyzed. The critically severe and severe patients had higher infection indexes and significant multiple organ function abnormalities than the mild patients ( P <0.05). IL-6 and IL-10 were significantly higher in the critically severe patients than in the severe and mild patients ( P <0.05). IL-6 and IL-10 were closely associated with white blood cells, neutrophils, T lymphocyte subsets, D-D dimer, blood urea nitrogen, complement C1q, procalcitonin C-reactive protein. Moreover, the IL-6 and IL-10 levels were closely correlated to dyspnea and dizziness ( P <0.05). The patients with higher IL-10 levels had shorter OS than the group with lower levels ( P <0.05). The older patients with higher levels of single IL-6 or IL-10 tended to have shorter EFS ( P <0.05), while the patients who had more elevated IL-6 and IL-10 had shorter OS ( P <0.05). The Cox proportional hazard model revealed that IL-6 was the independent factor affecting EFS. IL-6 and IL-10 play crucial roles in COVID-19 prognosis.

Background Serosurveillance is crucial in estimating the range of SARS-CoV-2 infections, predicting the possibility of another wave, and deciding on a vaccination strategy. To understand the herd immunity after the COVID-19 pandemic, the seroprevalence was measured in 3062 individuals with or without COVID-19 from the clinic. Methods The levels of SARS-CoV-2 antibody IgM and IgG were measured by the immuno-colloidal gold method. A fusion fragment of nucleocapsid and spike protein was detected by a qualitative test kit with sensitivity (89%) and specificity (98%). Results The seroprevalence rate for IgM and IgG in all outpatients was 2.81% and 7.51%, respectively. The sex-related prevalence rate of IgG was significantly higher (P < 0.05) in women than men. The highest positive rate of IgM was observed in individuals < 20 years of age (3.57%), while the highest seroprevalence for IgG was observed in persons > 60 years of age (8.61%). Positive rates of IgM and IgG in the convalescent patients were 31.82% and 77.27%, respectively, which was significantly higher than individuals with suspected syndromes or individuals without any clinical signs (P < 0.01). Seroprevalence for IgG in medical staff was markedly higher than those in residents. No significant difference of seroprevalence was found among patients with different comorbidities (P > 0.05). Conclusions The low positive rate of the SARS-CoV-2 IgM and nucleic acid (NA) test indicated that the SARS-CoV-2 outbreak is subsiding after 3 months, and the possibility of reintroduction of the virus from an unidentified natural reservoir is low. Seroprevalence provides information for humoral immunity and vaccine in the future.

To prevent major disasters caused by mine engineering, the structure and early warning effect of microseismic monitoring systems in the mineral equipment manufacturing industry based on deep learning (DL) are explored under the background of artificial intelligence (AI). The purpose is to provide a reference for predicting the law of strata movement under high-intensity mining conditions. In this study, firstly, the principle of the microseismic monitoring sensor system is analyzed, and the structure of the microseismic monitoring system of intelligent mining face in the mineral equipment manufacturing industry is further understood. Secondly, as one of the AI technologies, DL introduces the Convolutional Neural Network (CNN) and transfer learning (TL) into the processing and intelligent warning of mine microseism signals. Moreover, an intelligent microseismic monitoring system based on CNN and TL for the mineral equipment manufacturing industry is constructed to realize the identification of microseismic events. Finally, taking the Xiaojihan coal mine as an example, the microseismic activity regularity of its mining face is analyzed, and the performance of various microseismic signal recognition models is compared. The results reveal that the TL-CNN algorithm in the model constructed in this study has the best performance. Compared with other methods, Mean Absolute Error, Root Mean Square Error, and Mean Absolute Percentage Error indicators have decreased by at least 28.2%, 21.0%, and 36.2%. This shows that the TL-CNN model-based multi-input sequence model is more suitable for forecasting rockburst risk. The mining microseismic signal processing model based on the CNN discussed here provides a reference basis for ensuring the accuracy of rockburst microseismic warning to some extent.

No abstract

Background: Serosurvalence is crucial in estimating the range of SARS-CoV-2 infections, predicting the possibility of another wave, and decide on a vaccination strategy. To understand the herd immunity after the COVID-19 pandemic, the seroprevalence was measured in 3062 individuals with or without COVID-19. Methods: The levels of SARS-CoV-2 antibody IgM and IgG were measured by the immuno-colloidal gold method.Results: The mean seroprevalence for IgM and IgG in all participants was 2.81% and 7.51%, respectively. The positive rate of IgG was significantly higher in women than in men (P<0.05). The highest positive rate of IgM was observed in 41-60 years of age (3.49%), while the highest seroprevalence for IgG was observed in persons >60 years of age (8.61%). The positive rates of IgM and IgG in the convalescent patients were 31.82% and 77.27%, respectively, which was significantly higher than individuals with suspected syndromes or individuals without any clinical signs (P<0.01). Seroprevalence for IgG in medical staff was markedly higher than those in residents. The seroprevalence in patients with various comorbidity was no significant difference (P>0.05).Conclusions: The low positive rate of the SARS-CoV-2 IgM and NA test indicated that the SARS-CoV-2 outbreak is subsiding after three months, and the possibility of reintroduction of the virus from an unidentified natural reservoir is low. Seroprevalence provides the information for humoral immunity and vaccine in the future.