The relationship between trait emotional intelligence and English language performance among Chinese EFL university students: The mediating roles of boredom and burnout.

With the wave of positive psychology in second language acquisition, more emotion factors are gaining scholarly attention. Despite extensive research on Trait Emotional Intelligence (TEI), burnout and boredom in English as a Foreign Language (EFL) studies, the interplay of these variables remains unknown and the related impact on EFL learner's English Language Performance (ELP) is still underexplored. Given this, in light of Control-Value Theory (CVT), the present study used a quantitative method to examine the mediating roles of boredom and burnout in the connection between TEI and ELP among Chinese university students engaged in EFL endeavor. Data were collected from 489 s-year non-English major students. Structural equation modeling was utilized to analyze the relationships. Results revealed that TEI significantly influences ELP among Chinese EFL university students, through its correlation with both boredom and burnout. Higher levels of TEI are associated with reduced experiences of these negative states, which in turn are linked to improved language performance. These may imply that teacher educators should integrate emotional intelligence training into curricula and professional development to improve students' effectiveness and learning outcome.

A Joint State and Fault Estimation Scheme for State-Saturated System with Energy Harvesting Sensors.

In this article, the issue of joint state and fault estimation is ironed out for delayed state-saturated systems subject to energy harvesting sensors. Under the effect of energy harvesting, the sensors can harvest energy from the external environment and consume an amount of energy when transmitting measurements to the estimator. The occurrence probability of measurement loss is computed at each instant according to the probability distribution of the energy harvesting mechanism. The main objective of the addressed problem is to construct a joint state and fault estimator where the estimation error covariance is ensured in some certain sense and the estimator gain is determined to accommodate energy harvesting sensors, state saturation, as well as time delays. By virtue of a set of matrix difference equations, the derived upper bound is minimized by parameterizing the estimator gain. In addition, the performance evaluation of the designed joint estimator is conducted by analyzing the boundedness of the estimation error in the mean-squared sense. Finally, two experimental examples are employed to illustrate the feasibility of the proposed estimation scheme.

Application of fluorocarbon nanoparticles of 131I-fulvestrant as a targeted radiation drug for endocrine therapy on human breast cancer.

BACKGROUND: Breast cancer is the most prevalent malignant tumor among women, with hormone receptor-positive cases constituting 70%. Fulvestrant, an antagonist for these receptors, is utilized for advanced metastatic hormone receptor-positive breast cancer. Yet, its inhibitory effect on tumor cells is not strong, and it lacks direct cytotoxicity. Consequently, there's a significant challenge in preventing recurrence and metastasis once cancer cells develop resistance to fulvestrant. METHOD: To address these challenges, we engineered tumor-targeting nanoparticles termed 131I-fulvestrant-ALA-PFP-FA-NPs. This involved labeling fulvestrant with 131I to create 131I-fulvestrant. Subsequently, we incorporated the 131I-fulvestrant and 5-aminolevulinic acid (ALA) into fluorocarbon nanoparticles with folate as the targeting agent. This design facilitates a tri-modal therapeutic approach-endocrine therapy, radiotherapy, and PDT for estrogen receptor-positive breast cancer. RESULTS: Our in vivo and in vitro tests showed that the drug-laden nanoparticles effectively zeroed in on tumors. This targeting efficiency was corroborated using SPECT-CT imaging, confocal microscopy, and small animal fluorescence imaging. The 131I-fulvestrant-ALA-PFP-FA-NPs maintained stability and showcased potent antitumor capabilities due to the synergism of endocrine therapy, radiotherapy, and CR-PDT. Throughout the treatment duration, we detected no notable irregularities in hematological, biochemical, or histological evaluations. CONCLUSION: We've pioneered a nanoparticle system loaded with radioactive isotope 131I, endocrine therapeutic agents, and a photosensitizer precursor. This system offers a combined modality of radiotherapy, endocrine treatment, and PDT for breast cancer.

An Adaptive Two-Dimensional Voxel Terrain Mapping Method for Structured Environment.

Accurate terrain mapping information is very important for foot landing planning and motion control in foot robots. Therefore, a terrain mapping method suitable for an indoor structured environment is proposed in this paper. Firstly, by constructing a terrain mapping framework and adding the estimation of the robot's pose, the algorithm converts the distance sensor measurement results into terrain height information and maps them into the voxel grid, and effectively reducing the influence of pose uncertainty in a robot system. Secondly, the height information mapped into the voxel grid is downsampled to reduce information redundancy. Finally, a preemptive random sample consistency (preemptive RANSAC) algorithm is used to divide the plane from the height information of the environment and merge the voxel grid in the extracted plane to realize the adaptive resolution 2D voxel terrain mapping (ARVTM) in the structured environment. Experiments show that the proposed mapping algorithm reduces the error of terrain mapping by 62.7% and increases the speed of terrain mapping by 25.1%. The algorithm can effectively identify and extract plane features in a structured environment, reducing the complexity of terrain mapping information, and improving the speed of terrain mapping.

Enhancing students' English language learning via M-learning: Integrating technology acceptance model and S-O-R model.

With the impact of COVID-19, many university students may not be able to learn English in the physical classroom in a traditional way. Students' English learning effectiveness and outcome were threatened when English learning was forced to turn online. Thus, a variety of technological media and platforms to improve their learning outcomes are in need. Mobile learning (M-learning) that involves interacting with other devices through mobile devices and wireless networks can also be a solution to improve students' online English learning effectiveness. In order to explore the learning behaviors and attitudes of university students when learning English with M-learning, this study integrated technology acceptance model and Stimulus Organism Response model including the concepts of perceived convenience, curiosity and self-efficacy in addition to the original technology acceptance model to verify university students' usage cognition and attitude toward English M-learning. This study disseminated surveys to 10 targeted universities/colleges and collected 1432 valid surveys. This study implemented Smart-PLS 4.0 to examine structural model and verify the hypotheses. Results indicated that perceived convenience have positive impact on perceived ease of use, perceived usefulness and attitude toward using; there is a significant and positive relationship among perceived ease of use, perceived usefulness, attitude toward using and intention to using; curiosity and self-efficacy have positive impact on intention to using. Based on the findings, this study further provides abundant theoretical insights and practical significance on language learning.

Visualizing the sustainable development goals and natural resource utilization for green economic recovery after COVID-19 pandemic.

After the COVID-19 outbreak, this study examines the influence of modifications in China's Sustainable Growth Goals (SDGs) and economic development goals on Chinese enterprises' energy conservation and emissions reduction behavior. Meanwhile, the COVID-19 epidemic has erupted, displacing the flimsy traditional techniques. As a result, the post-COVID-19 pandemic emphasizes the need for a long-term sustainable development method compatible with the local and regional environmental systems. The main objective of this study is used as a roadmap to steer the post-COVID-19 pandemic on a sustainable green path by emphasizing sustainable energy strategies to connect in SDG-related efforts. The investigation in this paper begins with examining significant impacts in the energy industry and their impact on progress toward sustainability. The empirical findings that the CO2 emissions reduction objectives in long-term development plans had a considerable impact on energy saving and emissions reduction, lowering energy consumption intensity by 3.33% and carbon emission intensity by 4.23% between 2010 and 2019. Besides, the results and long and short run techniques are built to describe the Sustainable Development Goals interface, with the result revealing that Sustainable Development Goals enhance the green economic recovery performance. Furthermore, this study recommends that the key natural resources and green economic recovery policies to overcome the climate change impacts by COVID-19 pandemic.

Implication practice of “Internet Plus” new technology in chronic diseases management in community / 公共卫生与预防医学

Objective  To introduce and evaluate the practice of “Internet Plus” new technology for health management of chronic diseases in community in Yichang, and to provide reference for chronic disease patients' health management in community. Methods  Data of hypertensive patients were collected from the national basic public health service system, the big data intelligent sorting system for chronic disease patients in Yichang City, and the basic public health service system in urban areas in Yichang from 2016 to 2020. Data on the discovery, sorting and filing, standardized management rate and blood pressure control of urban hypertension patients were analyzed. The application effect of “Internet Plus” new technology in chronic disease community health management was evaluated. Results  From 2016 to 2020, 15 934 patients with hypertension were found and their health records were established through big and intelligent data in Yichang City, accounting for 93.54% (15 934 / 17 035) of the total. The rate of standardized management in each district increased year by year, with an increase of 8.71% in 2020 compared with 2016, and the difference was statistically significant (χ2=1273.30, P2=867.14, P<0.001). Conclusion  Data exchange and sharing among medical institutions at all levels can strengthen the health management of chronic diseases in the community. The “Internet Plus” new technology, integrating the Internet, big data, cloud computing and intelligent terminal technology, can effectively improve the detection, management and treatment rate of chronic diseases, and provide a new direction for the health management of chronic diseases.

Epidemiological Survey of Hemoglobinopathies Based on Next-Generation Sequencing Platform in Hunan Province, China / 生物医学与环境科学（英文）

OBJECTIVE@#This study was aimed at investigating the carrier rate of, and molecular variation in, α- and β-globin gene mutations in Hunan Province.@*METHODS@#We recruited 25,946 individuals attending premarital screening from 42 districts and counties in all 14 cities of Hunan Province. Hematological screening was performed, and molecular parameters were assessed.@*RESULTS@#The overall carrier rate of thalassemia was 7.1%, including 4.83% for α-thalassemia, 2.15% for β-thalassemia, and 0.12% for both α- and β-thalassemia. The highest carrier rate of thalassemia was in Yongzhou (14.57%). The most abundant genotype of α-thalassemia and β-thalassemia was -α 3.7/αα (50.23%) and β IVS-II-654/β N (28.23%), respectively. Four α-globin mutations [CD108 (ACC>AAC), CAP +29 (G>C), Hb Agrinio and Hb Cervantes] and six β-globin mutations [CAP +8 (C>T), IVS-II-848 (C>T), -56 (G>C), beta nt-77 (G>C), codon 20/21 (-TGGA) and Hb Knossos] had not previously been identified in China. Furthermore, this study provides the first report of the carrier rates of abnormal hemoglobin variants and α-globin triplication in Hunan Province, which were 0.49% and 1.99%, respectively.@*CONCLUSION@#Our study demonstrates the high complexity and diversity of thalassemia gene mutations in the Hunan population. The results should facilitate genetic counselling and the prevention of severe thalassemia in this region.

Exploration of nanofiltration conditions for separation of alcohol precipitation liquid during preparation of Reduning Injection by Box-Behnken design combined with flux attenuation / 中国中药杂志

This study employed Box-Behnken design combined with flux attenuation to explore the nanofiltration conditions for separation of alcohol precipitation liquid during the preparation of Reduning Injection and discussed the applicability of nanofiltration in the separation of the liquid with high-concentration ethanol. The effects of nanofiltration molecular weight cut-off(MWCO) and pH on the rejection of chlorogenic acid, 3,5-dicaffeoylquinic acid, and 4,5-dicaffeoylquinic acid were consistent with the principles of pore size sieving and charge effect, respectively. The rejection of the three phenolic acids was reduced by concentration polarization effect caused by trans-membrane pressure(TMP). The swelling of membrane surface decreased the pore size and membrane flux for effective separation. Chlorogenic acid and 4,5-dicaffeoylquinic acid were more sensitive to pH and ethanol concentration than 3,5-dicaffeoylquinic acid. A certain correlation existed between the compound structure and the separation factors of nanofiltration, and the separation rules were associated with the comprehensive effect of charge effect, pore size sieving, concentration polarization, steric hindrance and so on.

Application of Nanopore Sequencing Technology in the Clinical Diagnosis of Infectious Diseases / 生物医学与环境科学（英文）

Infectious diseases are an enormous public health burden and a growing threat to human health worldwide. Emerging or classic recurrent pathogens, or pathogens with resistant traits, challenge our ability to diagnose and control infectious diseases. Nanopore sequencing technology has the potential to enhance our ability to diagnose, interrogate, and track infectious diseases due to the unrestricted read length and system portability. This review focuses on the application of nanopore sequencing technology in the clinical diagnosis of infectious diseases and includes the following: (i) a brief introduction to nanopore sequencing technology and Oxford Nanopore Technologies (ONT) sequencing platforms; (ii) strategies for nanopore-based sequencing technologies; and (iii) applications of nanopore sequencing technology in monitoring emerging pathogenic microorganisms, molecular detection of clinically relevant drug-resistance genes, and characterization of disease-related microbial communities. Finally, we discuss the current challenges, potential opportunities, and future outlook for applying nanopore sequencing technology in the diagnosis of infectious diseases.

Effects of sodium iodide symporter co-expression on proliferation and cytotoxic activity of chimeric antigen receptor T cells in vitro / 南方医科大学学报

OBJECTIVE@#To investigate the effects of co-expression of sodium iodide symporter (NIS) reporter gene on the proliferation and cytotoxic activity of chimeric antigen receptor (CAR)-T cells in vitro.@*METHODS@#T cells expressing CD19 CAR (CAR-T cells), NIS reporter gene (NIS-T cells), and both (NIS-CAR-T cells) were prepared by lentiviral infection. The transfection rates of NIS and CAR were determined by flow cytometry, and the cell proliferation rate was assessed using CCK-8 assay at 24, 48 and 72 h of routine cell culture. The T cells were co-cultured with Nalm6 tumor cells at the effector-target ratios of 1∶2, 1∶1, 2∶1 and 4∶1 for 24, 48 and 72 h, and the cytotoxicity of CAR-T cells to the tumor cells was evaluated using lactate dehydrogenase (LDH) assay. ELISA was used to detect the release of IFN-γ and TNF-β in the co-culture supernatant, and the function of NIS was detected with iodine uptake test.@*RESULTS@#The CAR transfection rate was 91.91% in CAR-T cells and 99.41% in NIS-CAR-T cells; the NIS transfection rate was 47.83% in NIS-T cells and 50.24% in NIS- CAR-T cells. No significant difference in the proliferation rate was observed between CAR-T and NIS-CAR-T cells cultured for 24, 48 or 72 h (P> 0.05). In the co-cultures with different effector-target ratios, the tumor cell killing rate was significantly higher in CAR-T group than in NIS-CAR-T group at 24 h (P < 0.05), but no significant difference was observed between the two groups at 48 h or 72 h (P>0.05). Higher IFN-γ and TNF-β release levels were detected in both CAR-T and NIS-CAR-T groups than in the control group (P < 0.05). NIS-T cells and NIS-CAR-T cells showed similar capacity of specific iodine uptake (P>0.05), which was significantly higher than that in the control T cells (P < 0.05).@*CONCLUSION@#The co-expression of the NIS reporter gene does not affect CAR expression, proliferation or tumor cell-killing ability of CAR-T cells.

Corrigendum: Factors Influencing Employees' Subjective Wellbeing and Job Performance During the COVID-19 Global Pandemic: The Perspective of Social Cognitive Career Theory.

[This corrects the article DOI: 10.3389/fpsyg.2021.577028.].

Attention-Based Context Aware Network for Semantic Comprehension of Aerial Scenery.

It is essential for researchers to have a proper interpretation of remote sensing images (RSIs) and precise semantic labeling of their component parts. Although FCN (Fully Convolutional Networks)-like deep convolutional network architectures have been widely applied in the perception of autonomous cars, there are still two challenges in the semantic segmentation of RSIs. The first is to identify details in high-resolution images with complex scenes and to solve the class-mismatch issues; the second is to capture the edge of objects finely without being confused by the surroundings. HRNET has the characteristics of maintaining high-resolution representation by fusing feature information with parallel multi-resolution convolution branches. We adopt HRNET as a backbone and propose to incorporate the Class-Oriented Region Attention Module (CRAM) and Class-Oriented Context Fusion Module (CCFM) to analyze the relationships between classes and patch regions and between classes and local or global pixels, respectively. Thus, the perception capability of the model for the detailed part in the aerial image can be enhanced. We leverage these modules to develop an end-to-end semantic segmentation model for aerial images and validate it on the ISPRS Potsdam and Vaihingen datasets. The experimental results show that our model improves the baseline accuracy and outperforms some commonly used CNN architectures.

Factors Influencing Employees' Subjective Wellbeing and Job Performance During the COVID-19 Global Pandemic: The Perspective of Social Cognitive Career Theory.

The novel coronavirus disease that emerged at the end of 2019 began threatening the health and lives of millions of people after a few weeks. However, social and economic problems derived from COVID-19 have changed the development of individuals and the whole country. This study examines the work conditions of Taiwanese versus mainland China employees, and evaluates the relationship between support mechanisms and subjective wellbeing from a social cognitive career theory perspective. In this study, a total of 623 Taiwanese questionnaires and 513 mainland China questionnaires were collected to compare the two sample groups in terms of the development of employees' subjective wellbeing. The results show that the Taiwanese sample had more significant development paths compared to mainland China employees in terms of prior knowledge, perceived organizational support, self-efficacy, employee employability, subjective wellbeing, and job performance. Finally, based on the conclusions, this study proposes some specific suggestions on theoretical mode for future studies.

Analysis of epidemiological characteristics and clinical features of 480 hospitalized patients with dengue fever in Guangdong Province in 2019 / 中华传染病杂志

Objective:To analyze the epidemiological and clinical characteristics of hospitalized patients with dengue fever in Guangdong Province in 2019, so as to provide reference for clinical diagnosis and treatment of dengue fever.Methods:The general data, laboratory examination data, clinical manifestations and prognosis data of 480 inpatients with dengue fever admitted to Eight People′s Hospital Affiliated to Guangzhou Medical University between January 4 and October 31, 2019 were analyzed retrospectively. The clinical and onset characteristics of patients with dengue fever were described.Results:Among 480 dengue patients, 442(92.1%) were dengue fever, 38(7.9%) were severe dengue, and 136(28.3%) had underlying diseases. The peak age of onset was mainly in young adults aged 20 to 49 years old, accounting for 66.0%(317/480) in total. The seasonal peak was mainly in August to October. There were 399(83.1%) local cases and 61(12.7%) imported cases. The most common clinical manifestations were fever (98.1%, 471/480), chills (72.9%, 350/480), headache (58.5%, 281/480) and bone/joint/muscle pain (67.1%, 322/480), followed by digestive tract symptoms and respiratory tract symptoms. Among 446 serum samples, 358 (80.3%) were dengue virus (DENV)-1, 54 (12.1%) were DENV-2, 34 (7.6%) were DENV-3. The main laboratory tests of the patients were leucopenia (65.8%, 316/480), low hematocrit (30.2%, 145/480), thrombocytopenia (48.3%, 232/480), neutropenia (44.8%, 215/480), elevated alanine aminotransferase (ALT) (37.7%, 181/480) and aspartate aminotransferase (AST) (59.4%, 285/480). Treatment mainly adopted symptomatic support treatment and active prevention of complications. The length of stay was (5.8±3.1) days (range 1.0-38.0 days). A total of 461(96.0%) patients were cured or improved.Conclusions:In 2019, the majority of dengue fever patients in Guangdong Province are young adults aged 20 to 49 years old, and the proportion of severe patients is high, with DENV-1 infection as the main type. After symptomatic support treatment and active prevention of complications, most of the dengue fever patients have a good prognosis.

Chemical constituents of triterpenoid saponins from Glycyrrhiza glabra / 药学学报

Ten triterpenoid saponins were isolated and purified from the water extract of Glycyrrhiza glabra by polyamide resin combined with macroporous resin column chromatography, ODS medium pressure column chromatography and semi-preparative RP-HPLC. Their structures were elucidated by physicochemical properties, NMR and MS spectra, and determined as 3β-O-[β-D-glucuronpyranosyl-(1→2)-β-D-glucuronpyranosyl]-30β-O-β-D-glucuronpyranosyl-oleanane-11-oxo-12(13)-ene (1), 3β-O-[β-D-glucuronpyranosyl-(1→2)-β-D-glucuronpyranosyl]-30β-O-α-L-rhamnopyranosyl-oleanane-11-oxo-12(13)-en-22β,30-diol (2), uralsaponin C (3), licorice-saponin A3 (4), licorice-saponin P2 (5), 22β-acetoxyl-glycyrrhizin (6), macedonoside A (7), 29-hydroxyl-glycyrrhizin (8), licorice-saponin G2 (9), glycyrrhizin (10). Compounds 1 and 2 are two new compounds and named as licorice-saponin R3 and licorice-saponin S3.

Clinical features and risk factors associated with severe COVID-19 patients in China / 中华医学杂志(英文版)

BACKGROUND@#Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly spread throughout the world. In this study, we aimed to identify the risk factors for severe COVID-19 to improve treatment guidelines.@*METHODS@#A multicenter, cross-sectional study was conducted on 313 patients hospitalized with COVID-19. Patients were classified into two groups based on disease severity (nonsevere and severe) according to initial clinical presentation. Laboratory test results and epidemiological and clinical characteristics were analyzed using descriptive statistics. Univariate and multivariate logistic regression models were used to detect potential risk factors associated with severe COVID-19.@*RESULTS@#A total of 289 patients (197 nonsevere and 92 severe cases) with a median age of 45.0 (33.0, 61.0) years were included in this study, and 53.3% (154/289) were male. Fever (192/286, 67.1%) and cough (170/289, 58.8%) were commonly observed, followed by sore throat (49/289, 17.0%). Multivariate logistic regression analysis suggested that patients who were aged ≥ 65 years (OR: 2.725, 95% confidence interval [CI]: 1.317-5.636; P = 0.007), were male (OR: 1.878, 95% CI: 1.002-3.520, P = 0.049), had comorbid diabetes (OR: 3.314, 95% CI: 1.126-9.758, P = 0.030), cough (OR: 3.427, 95% CI: 1.752-6.706, P < 0.001), and/or diarrhea (OR: 2.629, 95% CI: 1.109-6.231, P = 0.028) on admission had a higher risk of severe disease. Moreover, stratification analysis indicated that male patients with diabetes were more likely to have severe COVID-19 (71.4% vs. 28.6%, χ2 = 8.183, P = 0.004).@*CONCLUSIONS@#The clinical characteristics of those with severe and nonsevere COVID-19 were significantly different. The elderly, male patients with COVID-19, diabetes, and presenting with cough and/or diarrhea on admission may require close monitoring to prevent deterioration.

Celebrex adjuvant therapy on COVID-19: An experimental study

BackgroundThe world is under serious threat with the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the coronavirus disease 2019 (COVID-19). However, there is no effective drug for the treatment of COVID-19. Based on analyses of available data, we deduced that the excessive prostaglandins E2 (PGE2) accumulation mediated by cyclooxygenase-2 (COX-2) was the key pathological basis of COVID-19. MethodsThe urine PGE2 levels were measured by mass spectrometry. An experimental study about Celebrex to treat COVID-19 was conducted based on routine treatment. A total of 44 confirmed COVID-19 patients were enrolled (Experimental group n=37, Control group n=7). Patients in experimental group were given Celebrex once or twice a day (0.2 g/time) for 7-14 days. The dosage or duration was modified for individuals. Clinical outcomes of Celebrex adjuvant therapy were evaluated by vital signs, laboratory tests, and computed tomography upon the discontinuance of Celebrex. ResultsWe found that the concentrations of PGE2 in urine samples of COVID-19 patients were significantly higher than that of healthy individuals (mean value is 170 ng/ml vs 18.8 ng/ml, p<0.01) and positively correlated with the progression of COVID-19. Among the experimental group (ordinary n=29, severe n=7, critical n=1), 25 cases were treated with full dose and 11 cases with half dose of Celebrex, and 1 case with Ibuprofen. The remission rate were 100%, 82% and 57% in full dose, half dose and control group respectively. Celebrex significantly reduced the PGE2 levels and promoted recovery of ordinary or severe COVID-19. ConclusionOur study suggests that Celebrex adjuvant treatment may be helpful for the therapy of COVID-19.

An exploratory randomized, controlled study on the efficacy and safety of lopinavir/ritonavir or arbidol treating adult patients hospitalized with mild/moderate COVID-19 (ELACOI)

BackgroundAntiviral therapies against the novel coronavirus SARS-CoV-2, which has caused a global pandemic of respiratory illness called COVID-19, are still lacking. MethodsOur study (NCT04252885, named ELACOI), was an exploratory randomized (2:2:1) controlled trial assessing the efficacy and safety of lopinavir/ritonavir (LPV/r) or arbidol monotherapy for treating patients with mild/moderate COVID-19. FindingsThis study successfully enrolled 86 patients with mild/moderate COVID-19 with 34 randomly assigned to receive LPV/r, 35 to arbidol and 17 with no antiviral medication as control. Baseline characteristics of the three groups were comparable. The primary endpoints, the average time of positive-to-negative conversion of SARS-CoV-2 nucleic acid and conversion rates at days 7 and 14, were similar between groups (all P>0.05). There were no differences between groups in the secondary endpoints, the rates of antipyresis, cough alleviation, or improvement of chest CT at days 7 or 14 (all P>0.05). At day 7, eight (23.5%) patients in the LPV/r group, 3 (8.6%) in the arbidol group and 2(11.8%) in the control group showed a deterioration in clinical status from moderate to severe/critical(P =0.206). Overall, 12 (35.3%) patients in the LPV/r group and 5 (14.3%) in the arbidol group experienced adverse events during the follow-up period. No apparent adverse event occurred in the control group. ConclusionsLPV/r or arbidol monotherapy present little benefit for improving the clinical outcome of patients hospitalized with mild/moderate COVID-19 over supportive care. FundingThis study was supported by project 2018ZX10302103-002, 2017ZX10202102-003-004 and Infectious Disease Specialty of Guangzhou High-level Clinical Key Specialty (2019-2021).

Analysis of quality difference based on Astragalus membranaceus var. mongholicus in genuine region / 中国中药杂志

This work is to establish the fingerprint of Astragalus membranaceus var. mongholicus by HPLC-ELSD method, and to analyze the simulated wildness degree of A. membranaceus var. mongholicus in the genuine region of Inner Mongolia, Ningxia and Gansu. Compared with wild A. membranaceus var. mongholicus, the quality differences of A. membranaceus var. mongholicus in the genuine region were analyzed by identification of chromatographic peaks and similarity evaluation, cluster analysis(CA), principal components analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA). HPLC fingerprints of A. membranaceus var. mongholicus in different genuine regions are established. The qualitative analysis of mass spectrometry identified 18 components. The similarity evaluation shows that the similarity of 32 batches of A. membranaceus var. mongholicus samples was 0.688-0.993. Among them, the similarity of samples in Shanxi, Inner Mongolia, Ningxia is 0.688-0.993, 0.835-0.989, 0.934-0.988, respectively and the similarity of samples in Gansu is 0.729-0.876 except No. 25 sample. The results of CA show that the samples of A. membranaceus var. mongholicus can be grouped into four categories according to the production area except the No. 11 and No. 25 samples. The results of PCA indicate that 32 batches of A. membranaceus var. mongholicus samples can be clustered according to quality and origin, and the quality of A. membranaceus var. mongholicus in Inner Mongolia is the closest to the wild breed. The results of OPLS-DA indicate that there are six components that can distinguish the wild and domestic A. membranaceus var. mongholicus, which are malonylastragaloside Ⅰ, astragaloside Ⅰ, calycosin-7-O-β-D-glycoside-6″-O-malonate, calycosin-7-O-β-D-glycoside, formononetin-7-O-β-D-glycoside-6″-O-malonate, and astrapterocarpan-3-O-β-D-glycoside-6″-O-malonate. The established method can be used to analyze differences between A. membranaceus var. mongholicus origin and planting environment, and can provide references for the protection and replacement of wild A. membranaceus var. mongholicus resources, and the cultivation, processing and production of A. membranaceus var. mongholicus.