Objective:To explore the application effect of the modified sandwich teaching method based on constructivism theory in clinical teaching of neurology nursing interns.Methods:A total of 29 nursing interns who practiced in the Department of Neurology of the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital) from June 2020 to May 2021 were selected as the control group, using the conventional clinical nursing teaching method, and 28 nursing interns who practiced from June 2021 to May 2022 were selected as the observation group, using the modified sandwich teaching method based on constructivism theory. Before graduating from the Department of Neurology, nursing interns in the two groups were compared in terms of the teaching effects, such as the score of learning initiative, theoretical examination, operation examination, and nursing round report. SPSS 25.0 was used for t test and chi-square test. Results:The score for each dimension (learning driving force, learning objectives, in-depth learning, controlled learning, and solid learning) and total score in the observation group were significantly higher than those in the control group ( P<0.05). There was no significant difference between the two groups in the scores of theoretical examination and operation examination (89.11±3.58 vs. 88.97±2.74, 93.79±2.48 vs. 93.86±2.20; P>0.05); the scores of nursing rounds in the observation group were significantly higher than those in the control group (88.61±2.60 vs. 83.38±3.97, P<0.05). Conclusions:The modified sandwich teaching method based on constructivism theory can enhance the learning initiative and comprehensive analysis ability of nursing interns in the Department of Neurology. It is suitable for clinical nursing teaching in the Department of Neurology and is worth popularizing.

Objective To explore the mechanism of lupeol in the treatment of rheumatoid arthritis(RA)based on network pharmacology and molecular docking.Methods The target of lupeol was obtained by Swiss and TCMSP analysis platform,and the RA related target was obtained by searching"rheumatoid arthritis"in GeneCards database,which was transformed into the corresponding standardized gene name by UniProt database.The common targets of lupeol and RA were mapped by R-package,and the cross genes were obtained.The cross genes were introduced into the string database to construct protein protein interactions(PPI)network.The clusterProfiler database was used to analyze the enrichment of GO and KEGG pathways.The binding of lupeol with AR,CASP3 and CCNB1 was evaluated by molecular docking.The RA mouse model was established and the foot volume of each group was measured.HE staining for pathological changes,ELISA kit for detecting mouse serum TNF-α,IL-1β and IL-6 expression levels.The protein expression levels of Bcl-2,Bax,CASP3 and CASP9 were detected by Western blot.Results Forty targets of lupeol,4734 related targets of RA disease and 27 common targets of lupeol RA were obtained.The top three genes of PPI network were AR,CASP3 and CCNB1.291 GO and 20 KEGG pathways were enriched.Molecular docking showed that lupeol had good affinity with AR,CASP3 and CCNB1.The foot volume of the model group was significantly higher than that of the normal control group on the 8th,12th,16th and 20th day(P<0.05).Compared with the model group,the foot volume ofthe lupeol group was significantly lower on the 8th,12th,16th and 20th day(P<0.05),andthat ofthe diclofenac group was significantly lower onthe 12th,16th and 20th day(P<0.05).The HE staining results showed that compared with the model group,the lupine alcohol drug group significantly improved the pathological state.Compared with the model group,the level of TNF-α,IL-1β and IL-6 in serum of mice in the Lupeol drug group decreased(P<0.01).WB results showed that compared with the normal group,the protein expressions of Bax,CASP3 and CASP9 in the model group were significantly decreased(P<0.05),and the protein expression of Bcl-2 was significantly increased(P<0.05).Compared with the model group,the protein expression of Bax,CASP3 and CASP9 in the positive control group and drug group were significantly up-regulated(P<0.05),and the protein expression of Bcl-2 was significantly down regulated(P<0.05).Conclusion Lupeol plays a therapeutic role in RA by regulating Bax,Bcl-2,Casp3 and Casp9 in the p53 signaling pathway.

As a common respiratory disease in children, asthma affects children′s physical and mental health and increases the burden on families and society.Patients with asthma can have one or more comorbidities, and these asthma comorbidities not only make the diagnosis of asthma more difficult, but also affect the control and treatment and outcome of the disease.However, asthma comorbidities are often under-recognized and poorly-managed.Therefore, it is important to improve the understanding of asthma comorbidities and to correctly identify, diagnose and treat them.Asthma in children contains a variety of comorbidities.This article reviews the research progress of epidemiology, impact on asthma and the treatment of these common comorbidities of asthma in children.

Asthma is the most common chronic respiratory disease in children and requires long-term medical management.Adolescence has unique physical and psychological characteristics, which challenge the management of asthma in adolescents.A personalized transition strategy can achieve a successful asthma transition from childhood into adulthood and improve long-term outcomes of asthma.In this paper, the characteristics of adolescence, burden of adolescent asthma, challenges to adolescent asthma, adolescent asthma management system, and successful transition of adolescent asthma were reviewed.

With the emergence of new respiratory virus, it is more apparent for the vulnerability of population to respiratory viral infection.Non-pharmaceutical interventions (NPIs) for respiratory virus infection have become the main way to prevent corona virus disease 2019.Some studies had proven its effectiveness.In addition, the NPIs also significantly reduced the incidence and hospitalization rate of other respiratory disease in children.NPIs for respiratory virus infection in children have its particularity and challenge.In daily life, it is important to guide children how to do the NPIs, so as to protect susceptible children and reduce the disease burden in children′s health system.Therefore, the aerosol transmission, the specificity of the NPIs in children, and the impact on childhood respiratory diseases are described in this article, to improve the prevention of common respiratory diseases in children.

The quality of Chinese materia medica is the premise to ensure its safety and effectiveness in clinical application， and the standardization of Chinese materia medica quality is the most important to realize the sustainable development of traditional Chinese medicine （TCM）. At present， the quality control system of Chinese materia medica has been transformed from a single chemical evaluation to the overall quality control guided by clinical efficacy. However， some quality control items of decoction pieces are still lacking or imperfect in the drug standard of prescription， which makes it difficult to guarantee the effectiveness and safety of Chinese materia medica in clinical application. Based on this， the quality control models and innovative ideas of Chinese materia medica were analyzed and discussed from the perspectives of chemical analysis， biological evaluation and clinical application in this paper. Aiming at the existing problems and actual needs in the control system of Chinese materia medica， this paper proposed the improvement strategies in accordance with the characteristics of TCM， in order to provide theoretical basis for the related research on quality control of Chinese materia medica.

CT image based organ segmentation is essential for radiotherapy treatment planning, and it is laborious and time consuming to outline the endangered organs and target areas before making radiation treatment plans. This study proposes a fully automated segmentation method based on fusion convolutional neural network to improve the efficiency of physicians in outlining the endangered organs and target areas. The CT images of 170 postoperative cervical cancer stage IB and IIA patients were selected for network training and automatic outlining of bladder, rectum, femoral head and CTV, and the neural network was used to localize easily distinguishable vessels around the target area to achieve more accurate outlining of CTV.
Female ; Humans ; Image Processing, Computer-Assisted ; Neural Networks, Computer ; Organs at Risk ; Pelvis ; Tomography, X-Ray Computed ; Uterine Cervical Neoplasms/surgery*

Objective:To preliminarily estimate and study the effect of nucleic acid testing in blood screening on the residual risk (RR) of transfusion transmitted HBV infection (TTI HBV).Methods:Using the NAT yield/WP ratio model and adopting the relevant data of information management system of practice comparison working party in the Mainland of China, this paper analyzed the trend of the RR of TTI HBV among 18 blood centers from 2015 to 2019 in China, and compared the impact of two kinds of blood screening strategies which were ELISA+ ID-NAT/MP-NAT (individual-donation nucleic acid testing or mini-pool nucleic acid testing) and ELISA + MP-NAT on RR in 2019.Results:The overall trends of the 5-year RR of HBV among 18 blood centers showed by trend chi square test were NAT single positive rate trend χ2= 39.42( P<0.01) and residual risk trend χ2= 279.792( P<0.01); The influence on RR from the differences of ELISA+ ID-NAT/MP-NAT and ELISA+ MP-NAT was statistically significant, and chi square test showed that χ2= 7.4( P<0.01). Conclusions:Since the implementation of nucleic acid testing in the blood screening in China from 2015, the residual risk of transfusion transmitted HBV infection has decreased year by year. The observed two blood screening strategies which dominated in China may lead to discrepancy in the residual risk of TTI.

Objective:To analyze the prevalence of malnutrition in stable-phase elderly patients with chronic obstructive pulmonary disease (COPD) using the Global Leadership Initiative on Malnutrition (GLIM) criteria.Methods:Using cross-sectional survey, 60 elderly patients with COPD in stable phase were investigated, with 72 elderly patients without COPD in the same age group selected as controls. Differences in basic characteristics, anthropometric indicators, hematology indicators and body composition were compared between the two groups. According to the GLIM diagnostic criteria for malnutrition, the first step is nutritional risk screening, the second step is to diagnose malnutrition, and the third step is to determine severe malnutrition. The prevalence of malnutrition and severe malnutrition were investigated.Results:The levels of total protein, albumin, creatinine, and lymphocyte percentage in the elderly stable COPD group were significantly lower than those in the control group. The nutritional risk and the prevalence of malnutrition in elderly COPD patients were significantly higher than those in the control group, and the prevalence of severe malnutrition was higher .Conclusions:Elderly stable COPD patients of different age groups have a higher nutritional risk. The onset age of malnutrition is younger than that of non-COPD patients and early intervention is required.

We use a dense and fully connected convolutional network with good feature learning in small samples, to automatically pre-deline CTV of cervical cancer patients based on CT images and evaluate the effect. The CT data of stage IB and IIA postoperative cervical cancer with similar delineation scope were selected to be used to evaluate the pre-sketching accuracy from three aspects:sketching similarity, sketching offset and sketching volume difference. It has been proved that the 8 most representative parameters are superior to those with single network and reported internationally before. Dense V-Net can accurately predict CTV pre-delineation of cervical cancer patients, which can be used clinically after simple modification by doctors.
Automation ; Female ; Humans ; Machine Learning ; Patients ; Tomography, X-Ray Computed ; Uterine Cervical Neoplasms/diagnostic imaging*