Objective To explore scientific and accurate prediction methods for the incidence of hand, foot, and mouth disease in the post-pandemic era, and to address modeling challenges caused by abnormal fluctuations in case numbers from 2020 to 2023. Methods The seasonal index was used to pre-process the data. The traditional seasonal autoregressive integrated moving average (SARIMA) model, singular spectrum analysis (SSA)-ARIMA model, ARIMA-Long short-term memory (LSTM) model, and SSA-ARIMA-LSTM model were used to fit the incidence from 2013 to 2023, and the incidence of hand, foot and mouth disease in 2024 was predicted. The real data collected in 2024 were used as the test set to compare the prediction performance of the models. Results The fitting performance of the constructed models was as follows: the ARIMA model had MAE=107.50 and RMSE=144.53, the SSA-ARIMA model showed MAE=2.84 and RMSE=4.33, the ARIMA-LSTM model achieved MAE=99.46 and RMSE=131.59, and the SSA-ARIMA-LSTM model had MAE=96.35 and RMSE=132.13. In terms of prediction performance, the ARIMA model resulted in MAE=151.64 and RMSE=146.70, the SSA-ARIMA model demonstrated MAE=41.22 and RMSE=57.01, the ARIMA-LSTM model yielded MAE=220.75 and RMSE=257.89, and the SSA-ARIMA-LSTM model recorded MAE=58.83 and RMSE=72.06. Conclusion The SSA-ARIMA model has the best fitting degree and the highest prediction accuracy, and is suitable for predicting the incidence trend of hand, foot and mouth disease.

Objective To investigate the factors influencing international normalized ratio (INR)>3.0 in patients undergoing warfarin anticoagulation therapy after mechanical heart valve replacement. Methods A retrospective analysis was performed on the clinical data of patients who underwent mechanical heart valve replacement surgery and received warfarin anticoagulation therapy at West China Hospital of Sichuan University from January 1, 2011 to June 30, 2022. Based on the discharge INR values, patients were divided into two groups: an INR≤3.0 group and an INR>3.0 group. The factors associated with INR>3.0 at the time of discharge were analyzed. Results A total of 8901 patients were enrolled, including 3409 males and 5492 females, with a median age of 49.3 (43.5, 55.6) years. The gender, body mass index (BMI), New York Heart Association (NYHA) cardiac function grading, INR, glutamic oxaloacetic transaminase, and preoperative prothrombin time (PT) were statistically different between the two groups (P<0.05). Multivariate logistic regression analysis revealed that lower BMI, preoperative PT>15 s, and mitral valve replacement were independent risk factors for INR>3.0 at discharge (P<0.05). Conclusion BMI, preoperative PT, and surgical site are factors influencing INR>3.0 at discharge in patients undergoing warfarin anticoagulation therapy after mechanical heart valve replacement. Special attention should be given to patients with lower BMI, longer preoperative PT, and mitral valve replacement to avoid excessive anticoagulation therapy.

Objective:To formulate refined management strategies to improve the operation quality and protective effect of medical X-ray diagnosis equipment based on the risk analysis of the correlation of medical X-ray diagnostic equipment.Methods:The used 41 medical X-ray diagnosis equipment in Fuwai Hospital,Chinese Academy of Medical Sciences from January 2022 to December 2023 were selected.According to different management modes for equipment,they were managed respectively by the conventional management mode(20 units)and the management mode with risk analysis of the correlation(21 units).The risk grades of correlation of management mode with risk analysis of the correlation were classified on the basis of the probability of risk and the degree of harm in medical X-ray diagnosis equipment.The protection management of equipment was conducted from three aspects included the location of equipment,the staffs and subjects.A self-made questionnaire was used to investigate the satisfactions of engineers of using management for equipment,operators,and staffs of operating and maintaining equipment for the two kinds of management modes.The protection quality,failure rate of equipment,and qualification rate of protection of medical X-ray diagnosis equipment under different management modes were compared.Results:The quality scores of operation safety,regular inspection,maintenance and repair,and shielding protection for radiation of medical X-ray diagnosis equipment that adopted the management mode with risk analysis of the correlation were respectively(92.14±3.36),(91.47±2.41),(92.54±3.32)and(91.69±3.57)points,all of which were higher than those of the conventional management mode,and the differences of them were statistically significant(t=16.396,17.368,19.688,14.401,P<0.05).The failure rate of the 21 medical X-ray diagnosis equipment that adopted the management mode with risk analysis of correlation was 0,which was lower than 20.00%of the conventional management mode.The qualified rate of protection was 95.23%,which was higher than 70.00%of the conventional management mode,and the differences of them were statistically significant(x2=4.654,4.608,P<0.05).The satisfaction scores of engineers of using equipment,operators and staffs of operating and maintaining equipment for the protective effect of adopting the management mode with risk analysis of correlation were respectively(94.69±4.02),(93.21±4.36)and(92.54±3.47)points,all of which were higher than those of the conventional management mode,and the differences were statistically significant(t=16.902,11.291,12.020,P<0.05).Conclusion:The process-based protection management strategy on the basis of risk analysis of correlation for medical X-ray diagnosis equipment can prevent risks of medical X-ray diagnostic equipment,and improve the operation quality of the equipment,and reduce the operation risks of the equipment,and maximize the enhancement for management quality of medical X-ray diagnosis equipment.

OBJECTIVE To explore the potential mechanisms and bioactive compounds of licorice against COVID-19 based on a multidimensional interaction of"component-disease-symptom-target".METHODS Firstly,candidate target sets for licorice compo-nents were obtained from the ETCM2.0 database based on the Encyclopedia of Traditional Chinese Medicine,and the disease symp-toms and associated target sets for COVID-19 were derived from the GeneCards and HPO databases.And then a protein interaction network was constructed using the String database(version 12.0).By calculating topological eigenvalues and functional enrichment analysis,the potential mechanisms of action were explored.Combined with Schr?dinger molecular docking virtual screening,candidate pharmacodynamic substances were identified.Fluorescence resonance energy transfer was used for experimental verification.RESULTS Licorice might improve symptoms of COVID-19(fever,chest pain and so on)by regulating the imbalance of"immune-inflammation"network and signal transduction abnormalities during the development and progress of COVID-19,such as coronavirus disease-COVID-19,Toll-like receptor signaling pathway and NOD-like receptor signaling pathway.The components,such as Isos-chaftoside and Hesperidin,were identified to possess high binding affinity with the critical enzymes for viral replication.Isoschaftoside,Hesperidin,Isoliquiritin apioside and Vicenin-2 exhibited varying degrees of inhibition on the enzyme of 3CLpro at different concentra-tions while excluding the interference of the compounds' fluorescence.CONCLUSION Through experimental verification using a multidimensional interaction network of"component-disease-symptom-target",the key pharmacologically active substances of licorice in the fight against COVID-19 are preliminarily identified,and their mechanism of action through overall regulation is elucidated.

OBJECTIVE To explore the potential mechanisms and bioactive compounds of licorice against COVID-19 based on a multidimensional interaction of"component-disease-symptom-target".METHODS Firstly,candidate target sets for licorice compo-nents were obtained from the ETCM2.0 database based on the Encyclopedia of Traditional Chinese Medicine,and the disease symp-toms and associated target sets for COVID-19 were derived from the GeneCards and HPO databases.And then a protein interaction network was constructed using the String database(version 12.0).By calculating topological eigenvalues and functional enrichment analysis,the potential mechanisms of action were explored.Combined with Schr?dinger molecular docking virtual screening,candidate pharmacodynamic substances were identified.Fluorescence resonance energy transfer was used for experimental verification.RESULTS Licorice might improve symptoms of COVID-19(fever,chest pain and so on)by regulating the imbalance of"immune-inflammation"network and signal transduction abnormalities during the development and progress of COVID-19,such as coronavirus disease-COVID-19,Toll-like receptor signaling pathway and NOD-like receptor signaling pathway.The components,such as Isos-chaftoside and Hesperidin,were identified to possess high binding affinity with the critical enzymes for viral replication.Isoschaftoside,Hesperidin,Isoliquiritin apioside and Vicenin-2 exhibited varying degrees of inhibition on the enzyme of 3CLpro at different concentra-tions while excluding the interference of the compounds' fluorescence.CONCLUSION Through experimental verification using a multidimensional interaction network of"component-disease-symptom-target",the key pharmacologically active substances of licorice in the fight against COVID-19 are preliminarily identified,and their mechanism of action through overall regulation is elucidated.

Objective:To formulate refined management strategies to improve the operation quality and protective effect of medical X-ray diagnosis equipment based on the risk analysis of the correlation of medical X-ray diagnostic equipment.Methods:The used 41 medical X-ray diagnosis equipment in Fuwai Hospital,Chinese Academy of Medical Sciences from January 2022 to December 2023 were selected.According to different management modes for equipment,they were managed respectively by the conventional management mode(20 units)and the management mode with risk analysis of the correlation(21 units).The risk grades of correlation of management mode with risk analysis of the correlation were classified on the basis of the probability of risk and the degree of harm in medical X-ray diagnosis equipment.The protection management of equipment was conducted from three aspects included the location of equipment,the staffs and subjects.A self-made questionnaire was used to investigate the satisfactions of engineers of using management for equipment,operators,and staffs of operating and maintaining equipment for the two kinds of management modes.The protection quality,failure rate of equipment,and qualification rate of protection of medical X-ray diagnosis equipment under different management modes were compared.Results:The quality scores of operation safety,regular inspection,maintenance and repair,and shielding protection for radiation of medical X-ray diagnosis equipment that adopted the management mode with risk analysis of the correlation were respectively(92.14±3.36),(91.47±2.41),(92.54±3.32)and(91.69±3.57)points,all of which were higher than those of the conventional management mode,and the differences of them were statistically significant(t=16.396,17.368,19.688,14.401,P<0.05).The failure rate of the 21 medical X-ray diagnosis equipment that adopted the management mode with risk analysis of correlation was 0,which was lower than 20.00%of the conventional management mode.The qualified rate of protection was 95.23%,which was higher than 70.00%of the conventional management mode,and the differences of them were statistically significant(x2=4.654,4.608,P<0.05).The satisfaction scores of engineers of using equipment,operators and staffs of operating and maintaining equipment for the protective effect of adopting the management mode with risk analysis of correlation were respectively(94.69±4.02),(93.21±4.36)and(92.54±3.47)points,all of which were higher than those of the conventional management mode,and the differences were statistically significant(t=16.902,11.291,12.020,P<0.05).Conclusion:The process-based protection management strategy on the basis of risk analysis of correlation for medical X-ray diagnosis equipment can prevent risks of medical X-ray diagnostic equipment,and improve the operation quality of the equipment,and reduce the operation risks of the equipment,and maximize the enhancement for management quality of medical X-ray diagnosis equipment.

Morita therapy has been bom for more than 100 years.Inpatient Morita therapy is highly oper-able and easy to master.It can improve many refractory neuroses through four-stage treatment.But more neuroses are treated in outpatient clinics,and Morita therapy cannot be used in hospitalized patients.Therefore,the formula-tion of expert opinions on outpatient operations is particularly important.This paper is based on domestic and for-eign references,and after many discussions by domestic Morita therapy experts,and then drew up the first version of the expert opinions on operation of outpatient Morita therapy.Meanwhile the operation rule of Morita therapy in three stages of outpatient treatment was formulated:in the etiological analysis stage,under the theoretical guidance of Morita therapy,analyze the pathogenic factors,to improve treatment compliance and reduce resistance;during the operating stage,guide patients to engage in constructive and meaningful actions,realizing the achievement of letting nature take its course principle;in the cultivating character and enriching life stage,pay attention to positive infor-mation,expanding the scope and content of actions,improving the ability to adapt to complex life,and preventing recurrence caused by insufficient abilities.It will lay a foundation for the promotion of Morita therapy in domestic outpatient clinics,so that more patients with neurosis and other psychological diseases could receive characteristic Morita therapy treatment in outpatient clinics.

Objective:To evaluate the mechanical performance of customized metal prosthesis with tibia stems of varying lengths for tibial bone defects reconstruction.Methods:Morphologically matched postoperative finite element models of bone defect revision were developed, with three gradients (15 mm, 30 mm, and 45 mm) according to the degree of bone defect and were reconstructed with 3D printed tantalum metal prosthesis using three tibial stem lengths (80 mm, 120 mm, and 150 mm), respectively. Conventional static and dynamic (walking gait) loading was performed to analyze the peak tibial stress distribution and accumulated sliding distance at the prosthetic interface, and to assess the effects of the three tibial stems of different lengths on the stability of the customized tibial defect restorations and the internal tibial stress state.Results:The peak accumulated sliding distance of the dynamically loaded morphologically matched restorations ranged from 17.94 to 21.31 mm with static loading, which were 68% to 84.3% higher than those of 10.26 to 11.69 mm with static loading. The peak tibial stresses in the dynamically loaded model were greater than those in the statically loaded model, with an increase of 28%-49.2%, including 132.94-143.88 MPa in the statically loaded model and 170.41-200.14 MPa in the dynamically loaded model. The overall accumulated sliding distance of the tibia prosthetic model gradually decreased from the tibial osteotomy surface, and the accumulated peak sliding distances ranged from 10.26 to 11.69 mm for static loading, and from 17.94 to 21.31 mm for dynamic loading. The bone tissue stresses in the anterolateral and medial-posterior tibia increased gradually from top to bottom, and the maximum stress value in each section was in the posterior medial tibia (the maximum value was 200.14 MPa). The highest bone tissue stress in the lateral tibia was affected by the tibial stem length, which resulted in a different location, and it was the area most affected by stress shielding (maximum value of 170.65 MPa).Conclusion:For stability assessment of morphologically matched tantalum customized prosthesis, physiological gait dynamic loading studies are more reliable than static loading; the choice of tibial stem length depends on a combination of accumulated peak sliding distances and tibial bone stress distribution factors.

ObjectiveThe mechanisms underlying therapeutic efficacies of Detumescence Analgesic Plaster was analyzed based on "effect-target" associations. MethodBased on CNKI and PubMed databases， the chemical components of Artemisia seed， bastard speedwell， and menthol in Detumescence Analgesic Plaster were collected. The capacity of transdermal absorption was predicted based on the Encyclopedia of Traditional Chinese Medicine （ETCM 2.0）. Golden Triangle of compounds with Accepted used for candidate target prediction based on the Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP v2.0）according to the similarity of chemical structures. At the same time， the SoFDA data platform was employed to collect the symptoms related to the efficacy of Detumescence Analgesic Plaster and its related genes information. In addition， based on the interaction between the above-mentioned candidate targets and their efficacy-related genes， the "effect-target" interaction network of Detumescence Analgesic Plaster was constructed. The key targets by topological features calculation， and functional mining was carried out to explain the efficacy mechanism of Detumescence Analgesic Plaster. ResultA total of 165 candidate targets were obtained based on ETCM 2.0 and TCMIP v2.0 databases， and symptoms related to the efficacy of clearing heat， detumescence， and relieving pain， as well as 1 744 related genes were collected based on the SoFDA database. Network construction and analysis showed that the core effect targets of Detumescence Analgesic Plaster were mainly involved in regulating the "immune-inflammation" balance of the body and maintaining the homeostasis of material and energy metabolism， blood circulation， and nervous system functions， and they were closely related to the efficacy of this prescription in clearing heat， reducing detumescence， and relieving pain. Among them， the heat clearing group of Detumescence Analgesic Plaster had the functions of heat clearing， detoxifying， antibacteria， and anti-inflammation. The biological function of its key effect target group was related to correcting the imbalance of "immune-inflammation" induced by pathogens. The detumescence group of Detumescence Analgesic Plaster had the functions of reducing water and swelling and resolving hard lumps， and the biological function of its core effect target group was related to improving microcirculation disturbance. The pain relieving group of Detumescence Analgesic Plaster had the functions of removing stasis， promoting blood circulation， and relieving pain， and its core effect target group was related to correcting the nervous system and the disorder of material and energy metabolism. ConclusionThe heat clearing， swelling reducing， and pain relieving effects of Detumescence Analgesic Plaster may be closely related to its act on related candidate targets， so as to correct the imbalance of "nerve-immunity-vascular-axis"， regulate neuronal excitability and inflammatory response， and intervene in material and energy metabolism. The relevant research results lay a theoretical foundation for clarifying the advantages of Detumescence Analgesic Plaster and assisting its clinical precise positioning.

Background ¹³⁷Cs in atmospheric aerosol is the product of past nuclear weapon tests and nuclear accidents. When ¹³⁷Cs is released into the atmosphere, it will deposit in dry land and marine environment, causing pollution of soil surface, water, agricultural products, and animal byproducts, and affecting public health. Objective To identify the variation pattern of ¹³⁷Cs activity concentration in aerosol and its correlation with dust concentration in Beijing area from 2017 to 2020. Methods A total of 958 aerosol samples were collected from November 1, 2017 to June 30, 2020 in Beijing with a high volume air sampler at a sampling flow rate about 600 m³·h⁻¹ and a collection time for each sample about 24 h. The activity concentration of ¹³⁷Cs in the aerosol samples was determined with a low-background high-purity germanium γ spectrometer. The dust concentration was calculated using the difference in the mass of the aerosol filter before and after sampling. The detection rate of ¹³⁷Cs and dust concentration in different seasons were compared. Spearman rank correlation test was used to analyze the correlation between ¹³⁷Cs activity concentration and dust concentration. Results From 2017 to 2020, the ¹³⁷Cs activity concentrations of 33 from 958 aerosol samples in Beijing were above the minimum detectable activityconcentration, the overall detection rate of ¹³⁷Cs was 3.4%, and the activity concentration ranged from 1.86 to 45.53 μBq·m⁻³, with a median value of 4.85 μBq·m⁻³. The detection rate of ¹³⁷Cs was highest in spring, followed by autumn, and lowest in winter and summer (8.4%, 3.0%, 1.1%, and 0.5%, respectively). The dust concentration ranged from 0.03 to 1.55 mg·m⁻³, with an average value of 0.18 mg·m⁻³. There was a statistically significant difference in the dust concentrations in spring, summer, autumn, and winter (F=45.51, P<0.05), and the highest value was 0.24 mg·m⁻³ in spring (P<0.05). The ¹³⁷Cs activity concentration was positively correlated with the dust concentration (P<0.05). Conclusion The ¹³⁷Cs activity concentration in aerosol in Beijing from 2017 to 2020 fluctuates within the range of background level, and its activity concentration is highest in spring, followed autumn, and lowest in summer and winter.