Standardized training of residents in the department of orthodontics is an important learn-ing stage for stomatology students before carrying out clinical orthodontic diagnosis and treatment work. At present, there are some deficiencies in the standardized training system of the residents in the Department of Orthodontics, such as the single teaching mode, imperfect training items, and unclear evaluation criteria. The department of orthodontics of Stomatology Hospital of Southern Medical University carried on a prelim-inary study on the training pattern of resident doctors in the refinement of the training content, optimizing curriculum design, implementation of tutorial teaching mode, the combination of theoretical study and clini-cal training, regular training evaluation and quantitative assessment indicators. The results showed that the trainees' acceptance and satisfaction were higher, which was beneficial to the improvement of clinical com-prehensive ability of orthodontics.

In the long course of traditional Chinese medicine (TCM) development history,generations of physicians in their long-term medical practice,have paid attention to assimilate and apply new technology and new theory,constantly enrich and perfect the medical technologies,methods and theory systems.It is particularly important to promote the innovation of TCM theory and guide the clinical application of TCM through the learning and absorption of advantages from modern technologies and biomedicine to transform as part of TCM,and then,to expatiate with TCM language.It is especially important in the promotion of TCM theory innovation and clinical guidance of TCM practice.This paper overviewed the common points between TCM and modern medicine from the aspects of balance and steady state of organism,zangfu-organ relationship,etiology and pathogenesis,syndrome differentiation methods,compatibility of Chinese herbal medicine and formula,medicinal properties and pharmacology,etc.The feasibility of applying modern medicine in the interpretation of TCM and its development prospects was expatiated.It provided new ideas and new methods in TCM development.

Pediatric drug accessibility has become a global problem,pediatric drug shortages and off-label uses are very seri?ous. In China,lack of suitable varieties,appropriate dosage forms and specifications,weak foundations on clinical trials,irregular prescribing behavior and irrational drug use and other issues on pediatric drugs are still outstanding. To improve pediatric drug accessi?bility,it may need all aspects work together,that is,cooperation of the national macro-policy support,participation of enterprises and medical institutions,to establish realistic goals and programs to address pediatric drug problem. This paper studies the foreign pediat?ric regulation measures and policies and by comparing foreign policies to China′s current situation,we can find out the problems and defects,give appropriate advice,in order to provide advice and reference to promote the development of pediatric drug.

Objective: To explore the causal relationship between self stigma and depression among college students with disabilities, so as to provide reference for mental health promotion among disabled college students. Methods: In October，2021 (T1) and April，2022 (T2)，291 college students from four majors of School of Special Education of Hebei Open University were selected by cluster sampling method to conduct two follow up tests，and online questionnaires were conducted by using Disability Self Stigma Scale，Perceived Social Support Scale and Center for Epidemiological Survey，Depression Scale，and the mediation of perceived social support was established in the cross lag model. Results: The average scores of depressive symptoms of disabled college students in T1 and T2 were (43.51±8.26, 46.82±9.13). The cross lag model showed that T1 self stigma could positively predict T2 depressive( β =0.17, P <0.01). Cross group analysis showed that T1 perceived social support plays a longitudinal mediating role between T1 self stigma and T2 depressive. Predictive effects of self stigma on depressive symptoms in female students ( β =0.42) was stronger than that in males ( β =0.29)( P <0.01). Predictive effects of perceived social support on depressive in female students( β =-0.36) was stronger than that of the males( β =-0.19)( P <0.01). Conclusion There is a causal relationship between self stigma and depressive symptoms among college students with disabilities. Intervention aim at promoting perceived social support might help to control depressive symptoms.

The liver in the traditional Chinese medicine (TCM) theory of visceral manifestation has rich connotations. Thestructure and function of liver differed from that of liver in modern recognition. Research on TCM theory has partiallyexplained the liver theory. The function of controlling dispersion of liver was associated with neuro-endocrine-immunesystem, liver sinus endothelial function, and metallothionein, etc. While the activity of storing blood of liver related withblood coagulation factors, anticoagulant and so on. The functional interaction between Zang-organ and Fu-organ maycorrelate with the lung-liver axis and liver-intestine axis. The review summarized the modern explanation on liverfunction in TCM and its relationship with Fu-organs to help the development of TCM basic theory in liver function.

With high linear energy transfer (LET) and short transmission distance, targeted α-therapy (TAT), as a specific targeted tumor treatment, can improve the killing effect on microscopic lesions or diffuse micrometastases. It can reduce bone marrow toxicity and overcome the problem of radiotherapy tolerance in hypoxic tumors. α-emitters and their labeled drugs are constantly being studied, and further research is needed to promote the development of clinical applications.

ABSTRACTOBJECTIVE To study the growth suitability of Magnolia officinalis on the basis of investigation on the correla-tion between its growth and ecological factorsand to provide scientific basis for determining the suitable planting region of Magnolia officinalis in China.METHODS Based on the investigation of 43 sampling points of Magnolia officinalis the eco-logical factors affecting its growth was calculated by Maxent.The geographic information systemGIS was applied to assess the growth suitability rank dividing of Magnolia officinalis in China.RESULTS Precipitation of OctoberaltitudeSeptember precipitationprecipitation in July is the main ecological factors that influencing the growth of Magnolia officinalis .The habi-tat suitability values of Magnolia officinalis in Southwest of Hubei province and Eastern Chongqing is highest.CONCLUSION Hubei and Chongqing are the suitable planting areas of Magnoliae officinalis .

Objective to establish a combined diagnosis model of scleroderma related genes based on gene expression comprehensive database(GEO)and artificial neural network(ANN)and to evaluate its effect and to predict and analyze targeted traditional Chinese medicine.Methods two scleroderma chips GSE23741 and GSE95065 were obtained from the GEO database as the training group data set.Random forest and lasso regression algorithms were used to screen the key genes of scleroderma and construct the ANN model for the diagnosis of scleroderma.The validation data sets GSE76807,GSE32413 and GSE59785 were used to verify the model,and the area under curve(AUC)analysis was used to evaluate the clinical application value of ANN model.The relative expression of key gene mRNA was verified by RT-qPCR experiment.The CIBERSORT algorithm was used to estimate the bioinformatics association between scleroderma and the screened biomarkers.Finally,the key genes were used to screen the targeted traditional Chinese medicine.Results A total of 167 differential genes were obtained.Furthermore,the five most relevant key genes(SERPINE2,SFRP4,SUGCT,FBLN5,NRXN2)were screened by machine learning,and the artificial neural network diagnosis model was constructed.The model was used to draw the subject operating characteristic(ROC)curves diagnosed by the training group and the verification group,and the AUC value of the training group was 1.000.The AUC of verification group were 0.770,0.795 and 0.872 respectively.The result of RT-qPCR experiment is consistent with that of machine learning algorithm.Immune cell infiltration analysis showed that the relative content of memory CD4+T cells was significantly increased in scleroderma group,while the relative content of γ δ T cells in normal group was significantly increased.Key genes are associated with macrophage M1,T cells,memory activated CD4+T cells,resting mast cells,CD8+T cells and so on.According to the key genes,12 traditional Chinese medicines were screened.Most of the four qi and five flavors belong to warm,cold,flat,sweet,pungent and bitter,and most of them belong to the meridians of liver,spleen and lung.Conclusion the artificial neural network diagnosis model of key genes of scleroderma is constructed,which can be used in clinical diagnosis of scleroderma,and the potential targeted traditional Chinese medicine for the treatment of scleroderma is predicted,which provides a new perspective for exploring the pathogenesis of scleroderma.

Objective: To investigate the association of sugar sweetened beverage (SSB) consumption with insomnia and depressive symptoms among first grade middle school students from Yunnan Province, so as to provide evidence to guide interventions for the treatment of these symptoms in this population. Methods: From October to December 2022, 8 500 firstgrade middle school students from 11 counties in Yunnan Province were selected by cluster random sampling. Depressive symptoms, SSB consumption, and insomnia symptoms among students were evaluated by the Child Depression Scale (CDI), dietary frequency questionnaire, and Insomnia Severity Index (ISI). A Logistic regression model was employed to analyze the relationship between SSB consumption, insomnia, depressive symptoms, and their interaction effects among students. Results: The detection rate of depressive symptoms was 28.3%, and having insomnia symptoms ( OR=6.07, 95%CI =5.46-6.75), consuming carbonated beverages ( OR=1.20, 95%CI =1.08-1.34), tea ( OR=1.13, 95%CI =1.02-1.25), energy drinks ( OR=1.36, 95%CI =1.23-1.50), and other beverages ( OR=1.32, 95%CI =1.19-1.45) were positively correlated with depressive symptoms among first grade middle school students ( P < 0.05). Carbonated beverages (additive effect: OR=2.96, 95%CI =2.72-3.22, multiplicative effect: OR=4.75, 95%CI =4.25- 5.32 ), fruit drinks (additive effect: OR=2.61, 95%CI =2.40-2.82; multiplicative effect: OR=4.43, 95%CI =3.94-4.97), tea (additive effect: OR=2.70, 95%CI =2.47-2.89; multiplicative effect: OR=4.34, 95%CI =3.86-4.89), energy drinks (additive effect: OR=2.82, 95%CI =2.61-3.05; multiplicative effect: OR=4.48, 95%CI =3.92-5.12), sweetened milk (additive effect: OR= 2.73, 95%CI =2.06-2.96; multiplicative effect: OR=4.61, 95%CI =4.12-5.17) and other beverages (additive effect: OR= 2.73 , 95%CI =2.53-2.95; multiplicative effect: OR=4.56, 95%CI =4.00-5.20) had both additive and multiplicative effects with insomnia, and increased the risk of depressive symptoms in first grade middle school students ( P <0.01). Conclusions The interaction between the consumption of SSB and insomnia symptoms may increase the risk of depressive symptoms among first grade middle school students in Yunnan Province. It is necessary to advocate middle school students to reduce SSB intake, in order to decrease the occurrence of depressive symptoms among this population.

This study was aimed to predict active compounds,drug targets and potential diseases of Yi-Guan decoction (YGD) by network pharmacological technology,and to clarify molecular mechanisms of YGD efficiency on different diseases with liver and kidney yin deficiency syndrome (LKYDS).Chemistry compounds,targets and related diseases from YGD were collected from TCMSP,TCM Database@Taiwan,TCMID,HIT,Drugbank,PubChem and TTD databases.The YGD compounds-targets-diseases network was constructed.The network topology was analyzed by Cytoscape software.The analysis of GO biological processes and KEGG pathways enrichment were performed by DAVID website.The results showed that 849 chemical compounds were identified from Beishashen,Maidong,Danggui,Shengdihuang,Chuanlianzi and Gouqizi.There were 49 active CHM compounds that were both oral bioavailability (OB) ≥ 30％ and drug-likeness (DL) ≥ 0.18,corresponding to 200 target proteins and 264 diseases.The top three GO biological processes were response to organic substance,regulation of cell proliferation,and response to endogenous stimulus,respectively.The top three KEGG pathways were pathways in cancer,hepatitis B,and prostate cancer,respectively.It was concluded that the analysis on YGD was conducted based on network pharmacology,and the compound-target-disease network was built,which may help to clarify the mechanisms of YGD efficiency on different diseases with LKYDS.It can provide clues to find new potential clinical adaptation of disease and new drugs.