Overview of Pharmaceutical Strategy for Europe (2020) and enlightenment to China's pharmaceutical field.

Under the background of major innovations and changes in international pharmaceutical technology, the continuous development of informatization and digitalization of drug R & D, technology, and the COVID-19 pandemic, the European Commission (EC) issued the pharmaceutical Strategy for Europe (PSE) at the end of 2020 in order to meet the unfinished clinical needs, stimulate industry innovation, enhance the adaptability of the regulatory system, and consolidate the international status of the EC drug regulatory system. PSE is regarded as the "cornerstone" of European health policy in the next five years, which has important guiding significance for the development and management of European pharmaceutical industry. This paper combs and analyzes the background, development strategic objectives and specific measures of PSE, and puts forward policy suggestions in combination with the actual work of China's epidemic prevention and control and industry development, pharmaceutical scientific supervision and encouraging innovation.Copyright © 2022 by the Author(s).

Clinical analysis of liver dysfunction in pregnant patients with mild SARS CoV-2 infection

Objective: The current study aimed to describe the clinical characteristics of mild SARS-CoV-2 infected pregnant women with abnormal liver function (ALF), explore the association between ALF with maternal and fetal outcomes. Method(s): This retrospective analysis included 87 pregnant patients with mild SARS-CoV-2 infection admitted and treated from December 1, 2022, to 31, 2022 in the department of Obestircs at Beijing Obstetrics and Gynecology Hospital. We evaluated patients for demographic and clinical features, laboratory parameters and pregnancy complications. Result(s): 27 Patients in this cohort had clinical presentations of ALF. Compared with the control group, the peripheral blood platelet (PLT), D-dimer quantitative determination (D-Dimer), lactate dehydrogenase (LDH), total protein (TP), albumin (ALB), indirect bilirubin (DBIL), gamma- glutamyltranspeptidase (GGT) and total bile acid (TBA) showed significantly differences (p<0.05). 12 cases (44.44%) complicated with pregnancy induced hypertension (PIH), 14 cases (51.85%) complicated with intrahepatic cholestasis of pregnancy (ICP), 2 cases (7.4%) complicated with acute fatty liver during pregnancy (AFLP) and 5 cases (14.81%) complicated with postpartum hemorrhage in patients with abnormal LFT were significantly higher than those in the control group (p<0.05). Compared with the control group, the incidence of premature delivery (22.22%) and fetal distress (37.04%) in the experiment group were significantly higher (p<0.05), and the incidence of neonatal asphyxia was not significantly different (p>0.05). Conclusion(s): Pregnant women are generally susceptible to mild SARS-CoV-2 and may induce ALF. ALF is associated with increased risk of mother and infant. The maternal and infant outcomes of those who terminated pregnancy in time are acceptable. Therefore, pregnant women with COVID-19 who received antiviral treatment should be closely monitored for evaluating liver function and relevant indicators. The long-term outcomes in the future are worth to further study.Copyright © 2023

Features of liver function in pediatric patients infected with Delta variant versus Omicron variant of severe acute respiratory syndrome coronavirus 2.

Objective To summarize and analyze the features of liver function in pediatric patients infected with Delta variant versus Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS - CoV - 2). Methods In this study,an analysis was performed for the liver function test results of the locally transmitted or imported pediatric patients with SARS - CoV - 2 infection during isolation who were admitted to Guangzhou Eighth People's Hospital,Guangzhou Medical University,since May 21,2021,and the clinical data and the constituent ratio of liver injury were compared between the pediatric patients infected with Delta variant and those infected with Omicron variant. The independent samples t - test or the Mann - Whitney U test was used for comparison of continuous data between two groups,and the chi - square test or the Fisher's exact test was used for comparison of categorical data between two groups. Results A total of 85 pediatric patients infected with SARS - CoV - 2 were enrolled,among whom there were 32 (37. 6%)pediatric patients infected with Delta variant and 53 (62. 4%)pediatric patients infected with Omicron variant,and there were no significant differences between the two groups in age,sex, body height,body weight,and comorbidities (all P > 0. 05). There were no significant differences between the two groups in alanine aminotransferase (ALT),aspartate aminotransferase (AST),alkaline phosphatase (ALP),gamma - glutamyl transpeptidase,total bilirubin,albumin,and cholinesterase (all P > 0. 05),and the pediatric patients infected with Omicron variant had a significantly higher level of total bile acid (TBA)than those infected with Delta variant (Z = - 2. 336,P = 0. 020). However,the median values of TBA were within the normal range and the ratios of abnormal TBA were no significant difference between the two groups (P > 0. 05). Among the 85 pediatric patients,10 (11. 8%)had a mild increase in liver function parameters,among whom 7 had an increase in TBA,1 had an increase in ALT, 1 had increases in ALT and AST,and 1 had an increase in ALP. The analysis of liver injury in the pediatric patients infected with Delta variant or Omicron variant showed that there was no significant difference in the constituent ratio of liver injury caused by the two variants (6. 3% vs 15. 1%,chi2 = 0. 691,P = 0. 406). Conclusion Mild liver injury is observed in pediatric patients infected with Delta and Omicron variants of SARS - CoV - 2,but further studies are needed to evaluate the long - term influence of such infection on liver function.Copyright © 2022 Editorial Board of Jilin University

Implementation and Application of Large-Scale Drug Virtual Screening

The molecular docking-based virtual screening technique evaluates the binding abilities between multiple ligand compounds and receptors to screen for the active compounds. In the context of the global spread of the COVID-19 pandemic, large-scale and rapid drug virtual screening is crucial for identifying potential drug molecules from massive datasets of ligand structures. The powerful computing power of supercomputer provides hardware guarantee for drug virtual screening, but the super large-scale drug virtual screening still faces many challenges that affects the effective execution of the calculation. Based on the analysis of the challenges, this paper proposes a centralized task distribution scheme with a central database, and designs a multi-level task distribution framework. The challenges are effectively solved through multi-level intelligent scheduling, multi-level compression processing of massive small molecule files, dynamic load balancing and high error tolerance management technology. An easy-touse"tree”multi-level task distribution system is implemented. A fast, efficient and stable drug virtual screening task distribution, calculation and result analysis function is realized, and the computing efficiency is nearly linear. Then, heterogeneous computing technology is used to complete the drug virtual screening of more than 2 billion compounds, for two different active sites for COVID-19, on the domestic super computing system, which provides a powerful computing guarantee for the super large-scale rapid virtual screening of explosive malignant infectious diseases. © 2023, Journal of Computer Engineering and Applications Beijing Co., Ltd.;Science Press. All rights reserved.

Retrospective analysis of clinical characteristics and outcomes of coronavirus disease 2019 critically ill patients with or without vascular calcification

Aim To analyze the differences in clinical characteristics and outcomes of coronavirus disease 2019 (COVID-19) critically ill patients with or without vascular calcification. Methods COVID-19 critically ill patients admitted to the intensive care unit of Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology in February 2020 were analyzed retrospectively. According to the chest CT findings, the patients were divided into vascular calcification group and non-vascular calcification group. The vascular calcification group was further divided into aortic calcification group, coronary calcification group and simultaneous calcification group (both aorta and coronary artery calcification). The clinical characteristics and outcomes of patients were compared in different groups. Results Compared with the non-vascular calcification group, the patients in the vascular calcification group were older and had a higher proportion of hypertension and coronary heart disease, which showed higher levels of leukocyte count, neutro-phil count, C-reactive protein, globulin, lactate dehydrogenase, international normalized ratio, D-dimer, creatinine, crea-tine kinase-MB, high-sensitivity cardiac troponin, myohemoglobin and N-terminal pro-B-type natriuretic peptide, lower levels of lymphocyte count, platelet count, albumin, estimated glomerular filtration rate, and higher risk of death. Compared with aortic calcification group, the outcomes of coronary calcification group and simultaneous calcification group were worse. Conclusion Vascular calcification, especially coronary artery calcification, may be a risk factor for poor prognosis in COVID-19 critically ill patients. © 2022, Editorial Office of Chinese Journal of Arteriosclerosis. All rights reserved.

Survey on knowledge and behaviors related to covid–19 and plague prevention and control in qinghai

Objective To understand the knowledge of COVID-19 and plague prevention and control in Qinghai Province, so as to carry out targeted health education and improve people's ability to prevent and control COVID–19, plague and other publichealth emergencies. Methods Six counties were randomly selected from three cities (states) by two-stage sampling. A self- designed questionnaire was randomly distributed to the public to investigate the awareness and behavior of COVID-19 and plague prevention and control. The Chinese version of Epidate was used for database construction and data entry. After checking and verifying, the data was exported as an Excel file and analyzed by SPSS 21.0 software. Results Accordign to the recovered questionnaires, the passing rate of knowledge of COVID-19 prevention and control was 78.46%, and the average score was (75. 82±16.43). The passing rate of plague prevention and control knowledge was 91.89%, and the average score was (86.46±15.94). The survey area, occupation category, gender and education level affected the knowledge of COVID-19 prevention and control. The average score was statistically significant (P<0.05). The survey area, occupation category, age and education level affected the knowledge of plague prevention and control, and the average score was statistically significant (P<0. 05). Conclusion People in Qinghai have poor knowledge of COVID - 19 prevention and control, but have good knowledge of plague prevention and control. Health education and health promotion activities on COVID - 19 and plague prevention and control should be increased in the future. © 2023, Editorial Department of Medical Pest Control. All rights reserved.

Progress and Perspective of Transmission Dynamics Models in Prevention and Control of Infectious Diseases

The current respiratory infectious disease has expanded over the world, posing a serious threat to people's physical and mental health, as well as their lives. Science and technology immediately united to fight against such deadly infectious disease in the past 100 years. Mathematical models have proved invaluable to understand and help control infectious disease epidemics. By simplifying real world phenomena, these models describe, analyze, and predict disease transmission patterns, producing tractable solutions in the face of quickly changing situations. In this Chapter, we firstly summarized the history and development of the mathematical models in infectious diseases. Afterwards, the specific transmission dynamics models with different model structures used in fitting and forecasting the situation of the current respiratory infectious disease were introduced, aiming different analytical objectives including but not limited to parameter estimation, trend prediction and early warning, prevention and control measures effectiveness evaluation, and transmission uncertainty exploration. Summary in values of transmission dynamics models is followed to illustrate their contribution in understanding and combating infectious disease outbreaks. Despite their utility, however, mathematical models are facing several important challenges which, if ignored, would result in biased estimation of the crucial epidemiological parameters, bad fitting of the data, or misinterpretation of the results. In conclusion, mathematical modeling should be one of the most valuable tools to reflect such huge uncertainties or, on the other hand, warn of the worst situation. An appreciation of models' shortcomings not only clarifies why they cannot do but helps anticipate what they can. © People's Medical Publishing House, PR of China 2022.

Practical Analyses on the Flipped Classroom Approach to Management Accounting Education

The outbreak of COVID-19 in 2020 has greatly changed teaching methods. With the normalization of the pandemic, teaching has gradually entered the era of a pandemic. Online teaching greatly limits the scope of management accounting courses and requires experimental operation and interaction between students and teachers. Therefore, mixed teaching has become a breakthrough in the development of management accounting teaching. This study mainly studies accounting students who adopt the mixed teaching method of the flipped classroom. Flipped classroom teaching mode can stimulate students' learning autonomy, adjust the traditional classroom teaching activities based on teachers' teaching into an interactive and exploratory new classroom, and play a positive role in the teaching development of management accounting courses. When designing a new paradigm of management accounting teaching based on the flipped classroom, by sorting out the five basic functions of management accounting prediction, decision-making, planning, control and evaluation, knowledge point learning, ability training, and independent exploration awareness run through three different periods before, during and after class. At the end of the semester, qualitative and quantitative analysis will be conducted in the form of questionnaires and interviews. The survey found that a large number of students recognized this teaching mode, and most students believed that this teaching mode improved their learning efficiency and ability to understand and master knowledge. The survey also found that the effect of rehearsal before class determines the learning level of the class to a certain extent. This means that we must focus on optimizing the rehearsal content and selecting more effective tools to ensure that students watch the rehearsal. © 2023 IEEE.

Prevention behaviors and influencing factors among Wuhan middle school students during COVID⁃19 epidemic

Objective: To investigate how well do the middle school students in Wuhan know and perform COVID-19 prevention behaviors during the epidemic, and to identify the influencing factors that impact the wellness of students' performance on mask-wearing, hand washing, and other health-related behaviors. Method: We surveyed 21 middle schools in Wuhan using a self-developed questionnaire, evaluated the students' prevention behaviors, and used logistic regression to identify the influencing factors. Results: We investigated 6 858 students with an average age of (14. 5±1. 5) years, including 3 584 male students (accounting for 52. 3%). Grade, parents' education, and submission time are significantly related to the wellness of the three types of health behaviors (P<0. 05). Junior high school students showed a better performance in handwashing and other health-related behaviors than senior high school students (P<0. 05). Parents' education showed a significant impact on students' prevention behaviors in all aspects (P<0. 05). Conclusion: Enhancement is needed for the education of prevention behaviors among middle school students. Schools should pay more attention to students whose parents are of the lower level of education. © 2023 Editorial Board of Medical Journal of Wuhan University. All rights reserved.

Clinical and laboratory features among severe COVID⁃19 patients with anxiety and depression symptoms

Objective: To investigate the incidence rates of anxiety and depression among the COVID-19 patients and their association with clinical features and laboratory variables. Methods: A total of 371 COVID-19 patients were recruited from Wuhan Leishenshan Hospital from Jan 20 to May 10, 2020. The anxiety and depression were assessed by using the Hosptial Anxiety and Depression Score (HAD), the Self-rating Anxiety Scale (SAS), and Self-rating Depression Scale (SDS). The clinical features and laboratory variables were collected through electronic medical record. Statistical analyses were used to investigate the influence factors associated with anxiety and depression. Results: Among the 371 COVID-19 patients, the frequency of anxiety measured by HAD or SAS was 22. 91% and 24. 26%, respectively. The frequency of depression based on HAD or SDS was 16. 17% and 9. 43%, respectively. There were more female unmarried individuals in the anxiety or depression group. Anxiety or depression scores were significantly inversely correlated with the time for nucleic acid test turning negative. D-dimer and interleukin-6 (IL-6) were significantly elevated in the individuals with anxiety and depression. Statistically significant downregulations of lymphocyte counts, hemoglobin, and creatinine were found in anxiety and depression group. There was a negative association between creatinine and anxiety or depression scores. One unit upregulation of IL-6 and downregula-tion of lymphocyte counts could increase the hazard odds ratio of anxiety or depression by 10. 7% and 68. 9%, respectively. Conclusion: The COVID-19 patients with anxiety or depression symptoms had several different clinical features and laboratory findings in comparison with the patients without, which could lead to a poor prognosis of this disease. Clinicians should pay more attention to these indicators for anxiety or depression. Targeted psychological interventions should be implemented to minimize the negative impact of the psychological burden and to improve the quality life and disease outcome. © 2023 Editorial Board of Medical Journal of Wuhan University. All rights reserved.

Value of Biofire Filmarray pneumonia panel in evaluating secondary infection in critically ill patients with Coronavirus disease 2019.

Objective To explore the application value of Biofire Filmarry pneumonia panel (PN) in detection of secondary and concomitant pathogen among critically ill patients with coronavirus disease 2019(COVID-19). Methods We consecutively included and analyzed the clinical data of critically ill patients with COVID-19 transferred to the ICU from February to April 2020 in the Sino-French Campus of Wuhan Tongji Hospital. Samples of Bronchoalveolar lavage fluid obtained by bedside bronchoscopy were sent for Biofire Filmarray PN and standard culture concomitantly. We compared the results of two methods and evaluated their concordance. Results In total, 21 critically ill patients with COVID-19 were included and 54 samples were tested, including 33 (61.1%) Biofire Filmarray PN tests (21 patients) and 21 (38.9%) standard cultures (14 patients), in which 19 pairs (38 samples) underwent both tests simultaneously. In Biofire Filmarray PN group, the turnaround time was about 1 hour. There were 74 positive results in 32 samples (97.0%) from 20 patients, including 29 cases(39.2%) of Acinetobacter baumannii complex, 21 cases (28.4%) of Pseudomonas aeruginosa, 16 cases (21.6%)of Klebsiella pneumoniae, 5 cases (6.8%) of Escherichia coli, 1 case (1.4%)each of Enterobacter cloacae, Haemophilus influenzae, and respiratory syncytial virus. In the standard culture group, the turnaround time was about 3 days. 19 positive results returned in 16 (76.2%) samples from 11 patients, including 8 cases (42.1%) of Pseudomonas aeruginosa, 6 cases (31.6%) of Acinetobacter baumannii, 4 cases (21.1%) of Stenotrophomonas malt and 1 case (5.3%) of Myxobacterium. Among the 19 pairs of "back-to-back" specimens, 15 pairs were concordant, and the agreement ratio was 78.9%. Conclusions Acinetobacter baumannii and Pseudomonas aeruginosa may be the common pathogens of secondary or concomitant infection in critically ill patients with COVID-19. Biofire Filmarray PN is a rapid diagnostic test and has application value in such patients;its sensitivity and accuracy require further investigation with larger sample sizes.Copyright © 2021, Peking Union Medical College Hospital. All rights reserved.

Recommendations for the Diagnosis and Treatment of Maternal SARS-CoV-2 Infection

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has spread worldwide and threatened human's health. With the passing of time, the epidemiology of coronavirus disease 2019 evolves and the knowledge of SARS-CoV-2 infection accumulates. To further improve the scientific and standardized diagnosis and treatment of maternal SARS-CoV-2 infection in China, the Chinese Society of Perinatal Medicine of Chinese Medical Association commissioned leading experts to develop the Recommendations for the Diagnosis and Treatment of Maternal SARS-CoV-2 Infection under the guidance of the Maternal and Child Health Department of the National Health Commission. This recommendations includes the epidemiology, diagnosis, management, maternal care, medication treatment, care of birth and newborns, and psychological support associated with maternal SARS-CoV-2 infection. It is hoped that the recommendations will effectively help the clinical management of maternal SARS-CoV-2 infection.Copyright © Wolters Kluwer Health, Inc. All rights reserved.

Bibliometric analysis and system review of vehicle routing optimization for emergency material distribution

Determining the optimal vehicle routing of emergency material distribution (VREMD) is one of the core issues of emergency management, which is strategically important to improve the effectiveness of emergency response and thus reduce the negative impact of large-scale emergency events. To summarize the latest research progress, we collected 511 VREMD-related articles published from 2010 to the present from the Scopus database and conducted a bibliometric analysis using VOSviewer software. Subsequently, we cautiously selected 49 articles from these publications for system review;sorted out the latest research progress in model construction and solution algorithms;and summarized the evolution trend of keywords, research gaps, and future works. The results show that do -mestic scholars and research organizations held an unqualified advantage regarding the number of published papers. However, these organizations with the most publications performed poorly regarding the number of literature citations. China and the US have contributed the vast majority of the literature, and there are close collaborations between researchers from both countries. The optimization model of VREMD can be divided into single-, multi-, and joint-objective models. The shortest travel time is the most common optimization objective in the single-objective optimization model. Several scholars focus on multiobjective optimization models to consider conflicting objectives simultaneously. In recent literature, scholars have focused on the impact of uncertainty and special events (e.g., COVID-19) on VREMD. Moreover, some scholars focus on joint optimization models to optimize vehicle routes and central locations (or material allocation) simultaneously. So-lution algorithms can be divided into two primary categories, i.e., mathematical planning methods and intelligent evolutionary algorithms. The branch and bound algorithm is the most dominant mathematical planning algorithm, while genetic algorithms and their enhancements are the most commonly used intelligent evolutionary algorithms. It is shown that the nondominated sorting genetic algorithm II (NSGA-II) can effectively solve the multiobjective model of VREMD. To further improve the algorithm's performance, re-searchers have proposed improved hybrid intelligent algorithms that combine the ad-vantages of NSGA-II and certain other algorithms. Scholars have also proposed a series of optimization algorithms for specific scenarios. With the development of new technologies and computation methods, it will be exciting to construct optimization models that consider uncertainty, heterogeneity, and temporality for large-scale real-world issues and develop generalized solution approaches rather than those applicable to specific scenarios.(c) 2022 Periodical Offices of Chang'an University. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC -ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

PCTran-Cloud: an Accident Simulator for Nuclear Power Plants Based on Cloud Technology

In the current environment where COVID-19 is serious, the space, place and resources required for teaching nuclear power plants are restricted to a great extent. To solve such problems and improve the utilization of education resources, this study improved an accident simulator for nuclear power plants based on the concept of cloud technology. We build the Browser / Server architecture so that the platform has successfully implemented multiterminal, multiplatform and multiuser simultaneous applications. Through the simulation results of the Small Break Loss of Coolant Accident (SBLOCA) and the test results of platform performance by PCTran-Cloud, the correctness of PCTran-Cloud in the accident simulation function and results were verified. In general, PCTran-Cloud has the characteristics of high scalability, high concurrency and high security. The platform can provide an environment for the training and education of nuclear power professionals. © 2022 IEEE.

Impact de la pandemie COVID19 sur l'ingestion de corps etrangers par les enfants au Quebec.

Contexte: Plus de 90 % des cas d'ingestions de corps etrangers en pediatrie se produisent a domicile. Notre hypothese etait que le temps supplementaire passe par les enfants a domicile durant la pandemie COVID-19 serait associe a une augmentation du nombre de cas d'ingestions de corps etrangers et leur severite. Nos objectifs etaient de comparer l'incidence d'ingestions pediatriques de corps etrangers et le taux de cas severes (hospitalisation, complications ou interventions par endoscopie) avant et pendant la pandemie. Methodes: Toutes les consultations pediatriques au CHU Sainte-Justine de Montreal pour ingestion de corps etrangers entre mars 2018 et fevrier 2020 (pre-pandemie) ainsi qu'entre mars 2020 et fevrier 2021 (pandemie) ont ete incluses (n=614). L'incidence d'ingestions de corps etrangers a ete calculee en rapportant le nombre de cas au nombre de visites aux urgences selon les periodes. Les differences entre les deux groupes ont ete analysees par un test T de Student ou Chi-carre. Resultats: L'age median des patients etait de 3,5 ans [(interquartile: 1,6-5,9);54 % garcons]. Le nombre mensuel moyen de cas (min-max) durant la pandemie [20,0 (12-28)] etait significativement plus eleve qu'avant la pandemie [15,5 (8-24)] (p=0,02). Le taux d'incidence a double, passant de 23,2 pour 10 000 visites aux urgences en pre-pandemie a 51,6 pour 10 000 visites pendant la pandemie (p=0,0002). Pres d'un quart de la cohorte a du etre hospitalise. Le taux d'hospitalisations (>1 jour) est reste stable entre les deux periodes: 6,95 % pre-pandemie et 7,08 % pendant la pandemie. Les taux d'endoscopies (21,3 %) et de complications (4,6 %) etaient similaires entre les deux periodes. Discussion/Conclusion: L'incidence d'ingestions de corps etrangers au CHU Sainte-Justine a augmente significativement durant la pandemie comparativement aux deux annees precedentes. Les taux eleves de cas severes, bien que stables durant la pandemie, temoignent de l'impact considerable des ingestions de corps etrangers en pediatrie. Declaration de liens d'interets: Les auteurs declarent ne pas avoir de liens d'interets.Copyright © 2022

Guidance on the use of biologic agents in psoriatic patients during COVID-19 outbreak.

The COVID-19 outbreak may have some impact on the use of biologics in psoriatic patients because immunosuppressive effects of biologics may potentially alter the susceptibility of patients to the virus, deteriorate the condition of infected patients or even change the prognosis of infection. According to currently available recommendations from international psoriasis academic organizations and specialists, as well as specific situation in China, the authors provide some guidance on the use of biologics for psoriatic patients undergoing or planning to undergo treatment with biologics, those with low or high risk of infection, and for those with or without COVID-19 infection, so as to provide references for clinical practice.Copyright © 2020 by the Chinese Medical Association.

Health risk assessment of volatile organic compounds (VOCs) emitted from landfill working surface via dispersion simulation enhanced by probability analysis

The assessment of the health risks of volatile organic compounds (VOCs) emitted from landfills via dispersion model is crucial but also challenging because of remarkable variations in their emissions and meteorological conditions. This study used a probabilistic approach for the assessment of the health risks of typical VOCs by combining artificial neural network models for emission rates and a numerical dispersion model enhanced by probability analysis. A total of 8753 rounds of simulation were performed with distributions of waste compositions and the valid hourly meteorological conditions for 1 year. The concentration distributions and ranges of the typical health-risky VOCs after dispersion were analyzed with 95% probability. The individual and cumulative non-carcinogenic risks of the typical VOCs were acceptable with all values less than 1 in the whole study domain. For individual carcinogenic risks, only ethylbenzene, benzene, chloroform, and 1, 2-dichloroethane at extreme concentrations showed minor or moderate risks with a probability of 0.1%-1% and an impact distance of 650-3000 m at specific directions. The cumulative carcinogenic risks were also acceptable at 95% probability in the whole study domain, but exceeded 1 x 10-6 or even 1 x 10-4 at some extreme conditions, especially within the landfill area. The vertical patterns of the health risks with height initially increased, and then decreased rapidly, and the peak values were observed around the height of the emission source. The dispersion simulation and health risk assessment of the typical health-risky VOCs enhanced by Monte Carlo can accurately reflect their probabilistic dispersion patterns and health risks to surrounding residents from both spatial and temporal dimensions. With this approach, this study can provide important scientific basis and technical support for the health risk assessment and management of landfills.Copyright © 2022 Elsevier Ltd

Plant-derived nanovesicles: further exploration of biomedical function and application potential

Extracellular vesicles (EVs) are phospholipid bilayer vesicles actively secreted by cells, that contain a variety of functional nucleic acids, proteins, and lipids, and are important mediums of intercellular communication. Based on their natural properties, EVs can not only retain the pharmacological effects of their source cells but also serve as natural delivery carriers. Among them, plant-derived nanovesicles (PNVs) are characterized as natural disease therapeutics with many advantages such as simplicity, safety, eco-friendliness, low cost, and low toxicity due to their abundant resources, large yield, and low risk of immunogenicity in vivo. This review systematically introduces the biogenesis, isolation methods, physical characterization, and components of PNVs, and describes their administration and cellular uptake as therapeutic agents. We highlight the therapeutic potential of PNVs as therapeutic agents and drug delivery carriers, including anti-inflammatory, anticancer, wound healing, regeneration, and antiaging properties as well as their potential use in the treatment of liver disease and COVID-19. Finally, the toxicity and immunogenicity, the current clinical application, and the possible challenges in the future development of PNVs were analyzed. We expect the functions of PNVs to be further explored to promote clinical translation, thereby facilitating the development of a new framework for the treatment of human diseases.Copyright © 2023 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences

Research on CT image classification algorithm of COVID-19 based on improved ResNet

The classification of COVID-19 and other viral pneumonias will help doctors to diagnose new coronary patients more accurately and quickly. Aiming at the classification problem of CT in patients with COVID-19, this paper proposes a CT image classification method based on an improved ResNet50 network based on the traditional convolutional neural network classification model. This paper uses the multiscale feature fusion strategy, combined with the improved attention mechanism to obtain the correlation coefficient between the internal feature points of the feature map, and finally achieves the effect of enhancing the representation ability of the feature map. Through the analysis and comparison of the technical principle, classification accuracy, and other parameters, it shows that the improved algorithm has better adaptive ability and classification ability. Through experiments, the improved ResNet50 classification model has a certain improvement in accuracy, time complexity, and spatial complexity compared with the traditional classification model, and the accuracy rate can reach 90.1 %. © 2022 Copyright for this paper by its authors.