Aiming at the problem that the amount of Oxygen remaining and available time can not be accurately predicted while an astronaut conducting extravehicular activities(EVAs)in EVA spacesuit.Research the oxygen consumption process of EVA spacesuit.The model and algorithm of oxygen consumption are established by the gas state equation including compressibility and temperature coefficient,combined with human metabolism and micro leakage characteristics of spacesuit.Experimental data show that the orecast model and algorithm hasing high accuracy and practicability.

Objective:To explore the value of tumor stroma ratio (TSR) in non-small lung cancer (NSCLC) tissue in predicting the efficacy of tumor immunotherapy.Methods:The clinical and histopathological data of patients with stage ⅢB-Ⅳ NSCLC treated with immune checkpoint inhibitors in the Renmin Hospital of Wuhan University from January 2017 to December 2020 were collected. Taking 50% as the TSR boundary value, the patients were divided into low TSR group (≤50%) and high TSR group (>50%) . The histopathological features, 4-cycle objective response rate (ORR) and disease control rate (DCR) , 6-cycle ORR and DCR, and progression-free survival (PFS) were compared between the two groups. Univariate and multivariate Cox regression models were used to analyze the prognostic factors related to PFS.Results:A total of 50 patients were included, including 27 with low TSR and 23 with high TSR. There were no significant differences between the two groups in age ( χ2=0.59, P=0.441) , gender ( P=0.578) , smoking history ( χ2=0.12, P=0.730) , histopathological type ( χ2=2.33, P=0.313) , TNM stage ( χ2=0.22, P=0.636) , 4-cycle ORR ( χ2=0.48, P=0.487) and DCR ( P=0.593) , 6-cycle ORR ( χ2=0.05, P=0.818) and DCR ( P=0.641) . The incidence of brain metastasis was higher in the high TSR group than that in the low TSR group [34.8% (8/23) vs. 7.4% (2/27) , χ2=4.23, P=0.040]. Kaplan-Meier survival analysis showed that the PFS in the low TSR group was significantly longer than that in the high TSR group (15.6 months vs. 10.2 months, χ2=13.84, P<0.001) . Univariate analysis showed that TSR value ( HR=0.29, 95% CI: 0.14-0.58, P<0.001) and brain metastasis ( HR=2.38, 95% CI: 1.12-5.05, P=0.024) were correlated with the worse prognosis of NSCLC patients. Multivariate Cox regression analysis showed that TSR value was an independent prognostic factor for NSCLC immunotherapy ( HR=0.32, 95% CI: 0.14-0.70, P=0.004) . Conclusion:TSR is an independent predictor of immunotherapy for NSCLC, but whether it can predict the short-term efficacy of immunotherapy for advanced NSCLC still needs further research.

Coronavirus disease 2019(COVID-19),which is caused by SARS-CoV-2,varies with regard to symptoms and mortality rates among populations.Humoral immunity plays critical roles in SARS-CoV-2 infection and recovery from COVID-19.However,differences in immune responses and clinical features among COVID-19 patients remain largely unknown.Here,we report a database for COVID-19-specific IgG/IgM immune responses and clinical parameters(named COVID-ONE-hi).COVID-ONE-hi is based on the data that contain the IgG/IgM responses to 24 full-length/truncated proteins corresponding to 20 of 28 known SARS-CoV-2 proteins and 199 spike protein peptides against 2360 serum samples collected from 783 COVID-19 patients.In addition,96 clinical parameters for the 2360 serum samples and basic information for the 783 patients are integrated into the database.Furthermore,COVID-ONE-hi provides a dashboard for defining samples and a one-click analysis pipeline for a single group or paired groups.A set of samples of interest is easily defined by adjusting the scale bars of a variety of parameters.After the"START"button is clicked,one can readily obtain a comprehensive analysis report for further interpretation.COVID-ONE-hi is freely available at www.COVID-ONE.cn.