ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine （TCM） symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening， five machine learning methods-classification and regression tree （CART） decision tree， support vector machine （SVM）， back propagation（BP） neural network， logistic regression， and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency， Yin deficiency， and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques （P<0.05）. The CART decision tree， SVM， logistic regression， BP neural network， and random forest models showed the areas under the receiver operating characteristic （ROC） curves of 0.71， 0.75， 0.76， 0.76， and 0.75， the accuracy rates of 68.94%， 69.27%， 69.44%， 70.10%， and 69.60%， the precision rates of 68.56%， 68.53%， 68.75%， 69.74%， and 69.42%， the recall rates of 68.91%， 67.93%， 67.92%， 68.10%， and 67.31%， and the F₁ values of 0.69， 0.68， 0.68， 0.68， and 0.68， respectively. ConclusionAmong the high-risk population of stroke， the most frequently distributed TCM syndrome element is Qi deficiency， with the rest mainly being fire heat， Yin deficiency， Yang deficiency， phlegm dampness， blood stasis， and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head， dizziness， headache， and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.

ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine （TCM） symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening， five machine learning methods-classification and regression tree （CART） decision tree， support vector machine （SVM）， back propagation（BP） neural network， logistic regression， and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency， Yin deficiency， and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques （P<0.05）. The CART decision tree， SVM， logistic regression， BP neural network， and random forest models showed the areas under the receiver operating characteristic （ROC） curves of 0.71， 0.75， 0.76， 0.76， and 0.75， the accuracy rates of 68.94%， 69.27%， 69.44%， 70.10%， and 69.60%， the precision rates of 68.56%， 68.53%， 68.75%， 69.74%， and 69.42%， the recall rates of 68.91%， 67.93%， 67.92%， 68.10%， and 67.31%， and the F₁ values of 0.69， 0.68， 0.68， 0.68， and 0.68， respectively. ConclusionAmong the high-risk population of stroke， the most frequently distributed TCM syndrome element is Qi deficiency， with the rest mainly being fire heat， Yin deficiency， Yang deficiency， phlegm dampness， blood stasis， and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head， dizziness， headache， and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.

Objective To determine the content and distribution characteristics of the artificial radionuclide ¹³⁷Cs and the natural radionuclides ²¹⁰Pb, ²²⁶Ra, ²²⁸Ra, and ⁴⁰K in wild edible fungi, and calculate the committed effective dose due to ¹³⁷Cs and ²¹⁰Pb in wild edible fungi. Methods Thirty samples of wild edible fungi were collected and their caps and stems were separated. A total of 60 samples were measured for ¹³⁷Cs, ²¹⁰Pb, ²²⁶Ra, ²²⁸Ra, and ⁴⁰K using a BE5030 wide-energy, low-background, high-purity germanium γ spectrometer. The paired analysis of the four radionuclides ²²⁶Ra, ²¹⁰Pb, ¹³⁷Cs, and ⁴⁰K was performed using SPSS 11.5. Results Among the 60 samples, the detection rates and dry weight specific activity ranges of ¹³⁷Cs, ²¹⁰Pb, ²²⁶Ra, ²²⁸Ra, and ⁴⁰K were 97% and 0.62-384 Bq/kg, 73% and 6.4-159 Bq/kg, 52% and 0.7-28.8 Bq/kg, 5% and 0.43-2.18 Bq/kg and 100% and （77.4-264) × 10 Bq/kg, respectively. Conclusion Based on the analysis of the 60 samples, the detection rate of radionuclides is in the order of ⁴⁰K, ¹³⁷Cs, ²¹⁰Pb, ²²⁶Ra, and ²²⁸Ra. In terms of the specific activity, the distribution of ⁴⁰K and ²²⁶Ra in wild edible fungi in the same region is basically uniform, while the content of ²¹⁰Pb and ¹³⁷Cs fluctuates in different samples. Although ¹³⁷Cs and ²¹⁰Pb can be detected in most of the wild edible fungi, the annual committed effective dose due to ingestion of wild edible fungi is negligible.

General practice standardized residency training is a crucial part of postgraduate education for cultivating general practitioner. The factors influencing the quality of general practice residency training cover various aspects such as the residents themselves, teaching staff, management and decision-making levels, as well as teaching resources. Guided by the goal of "fostering virtue through education", and integrated the spirit of Norman Bethune and modern innovation theories and the educational philosophy, the China-Japan Union Hospital of Jilin University has carried out comprehensive reforms in this field. It has constructed a PDCA cycle management system based on the concept of total quality management to improve the quality of education from multiple links such as quality planning and process monitoring. In terms of faculty development, based on the dissipative structure theory, a mechanism of "selection, evaluation, incentive, and elimination" has been established. Teacher communities have been formed and a training college has been established to strengthen the teaching team. In terms of platform construction, the linkage between "teaching base-community" and "on campus-off campus" has been strengthened and resources have been integrated. The reform has achieved remarkable results, and our practice may provide a reference for general practice medical education.

Objective:To investigate the relationship between artificial radionuclide 137Cs and stable cesium (Cs) in wild edible fungi and seek potential correlations. Methods:A total of 30 samples, including the caps (with gills) and stipes of wild edible fungi, were collected from the northeastern region of China. The measurement and analysis of 137Cs were conducted following recommended procedures in GB/T 16145-2022, and stable Cs was determined using inductively coupled plasma mass spectrometry (ICP-MS). Then, the correlation analysis of data on 137Cs and stable Cs was performed using SPSS 11.5 software, and scatter plots were prepared using the Origin 21.0 software. Results:The fungi caps exhibited a specific activity of 137Cs ranging from 0.52 to 55.9 Bq/kg (dry weight) and a stable Cs content from 0.069 mg/kg to 16.2 mg/kg (dry weight). The stipes showed a specific activity of 137Cs ranging from 0.53 Bq/kg to 101 Bq/kg (dry weight) and a stable Cs content from 0.075 to 11.5 mg/kg (dry weight). These data revealed a significant correlation between the specific activity of 137Cs and the stable cesium content in all samples including caps and stipes, with correlation coefficients r of 0.956, 0.912, and 0.931, respectively, and all significant levels P < 0.01. The ratios of the specific activity of 137Cs to stable Cs content varied from 2.09 Bq/kg to 20.1 Bq/kg (dry weight), with an average of 10.7 Bq/kg (dry weight). Conclusions:Wild edible fungi fail to distinguish between 137Cs and stable cesium when absorbing Cs elements from their growing substrates. Furthermore, there is a strong correlation between the specific activity of 137Cs and stable Cs content. In the case of exogenous 137Cs contamination, the ratio of the specific activity of 137Cs and stable Cs content will significantly change. Therefore, an increase in the ratio can be used as a reference for identifying 137Cs contamination events.

Objective:To explore the applicability of critical statistical measures Z, Z′, Zeta ( ζ), and En value in comparative capability assessments by analyzing the data from nationwide radiological health technology institutions from 2020 to 2023, aiming to provide a reference for further improving China′s comparative assessment method for verifying the γ-ray spectroscopy capability of radionuclides. Methods:Based on the nationwide analysis and comparison of γ-ray spectroscopy of radionuclides conducted annually by the National Institute for Radiological Protection, China CDC, the deviations between laboratory result and reference values were determined using the above-mentioned four statistical measures. Finally, the qualification rates of the γ-ray spectroscopy result from relevant institutions were assessed and analyzed.Results:The result indicate that the qualification rates of the Z value exceeded 85%, which might be inaccurate in some cases since it ignored the limitation of uncertainty. In contrast, the Z′ value yielded more scientific and representative result because it considered the uncertainty of reference values, and the inter-laboratory comparison qualification rate is above 95%. In the case of low uncertainty of the γ-ray spectroscopy result, the Zeta ( ζ) or En ratio exhibited relatively high sensitivity and, accordingly, relatively low qualification rates, indicating that this ratio may not comprehensively reflect the interlaboratory comparison result. Conclusions:The Z, Z′, Zeta ( ζ), and En values demonstrate their own advantages and limitations in assessing the capability of the γ-ray spectroscopy of radionuclides. For comparison projects involving multiple laboratories and complex measurement conditions, such as the nationwide verification of the capabilities of the γ-ray spectroscopy of radionuclides, it is feasible to combine the Z′ value with the Zeta ( ζ) or En ratio, with the former and the latter used to determine the qualified and excellent capability result, respectively. This enables the comprehensive assessment of the measurement and analysis capabilities of the γ-ray spectroscopy laboratories of radiological health technology institutions in China.

This study aims to establish a convenient,new and visual detection method for the field diagnosis of Pasteurella multocida(Pm).With reference to the Pm kmt1 gene conserved sequence published in GenBank,PCR amplification primers were designed,the amplified kmt1 gene was cloned into pMD19-T vector,and the recombinant plasmid standard pMD19-T-kmt 1 was estab-lished and identified by PCR and sequencing.Using pMD1 9-T-kmt 1 plasmid as template and kmt1 gene as target gene,basic primers were designed and synthesized.According to the requirements of LFD,a probe(Pm-P)was designed,and the RPA-LFD method for Pm detection was established by optimizing the reaction conditions.Specificity and sensitivity tests were carried out,and 64 clini-cal samples were tested by the method.The results showed that the established Pm RPA-LFD method could be amplified at 37 ℃ for 15 min.Escherichia coli(E.coli),Salmonella enteriditis(SE),Riemerella anatipestifer(RA),Staphylococcus,goose parvovirus(GPV),duck plague virus(DPV),Muscovy duck parvovirus(MDPV)DNA was extracted as the template,and plasmid standard pMD19-T-kmt 1 was used as the positive control.All the positive controls were negative,indicating that the method had good specificity.The plasmid standard pMD1 9-T-kmt 1 was diluted with a 10-fold ratio,and the plasmid standard with a concentration of 107-100 copies/μL was used as the template.The sensitivity was 1.50×101 copies/μ,,which was 100 times higher than that of PCR.A total of 64 clinical samples with suspected RA were subjected to testing using PCR,RPA and LAMP-LFD,with a 100％compliance rate for all three detection tests.The results show that the established RPA-LFD method has the characteristics of strong specificity,high sensitivity,fast speed and visualization,and can be applied to the field detection of Pm.

The eIF3i gene was amplified from lamb testicular(LT)cells by PCR and cloned into pCold vector to construct the pCold-eIF3i plasmid.Plasmid PCR,double enzyme digestion and se-quencing were used to verify the results.The recombinant eIF3i protein was induced under the op-timized expression conditions.The expression and reactogenicity of the target protein were detected by SDS-PAGE and Western blot.New Zealand white rabbits were immunized with purified recom-binant eIF3i protein combined with Freund's complete and incomplete adjuvants for three times.Se-rum samples were collected after immunization.Indirect ELISA was used to detect antiserum titer,and Western blot was used to analyze antibody specificity.Indirect immunofluorescence assay(IFA)was used to detect the application effect of antibodies.The results showed that the size of LT eIF3i gene was 978 bp.The optimal expression conditions for the eIF3i recombinant protein were as follows:IPTG concentration of 0.2 mmol/L,temperature of 37 ℃,and induction time of 8 h.The recombinant eIF3i protein was expressed as an inclusion body with a size of about 36 kDa.The titer of polyclonal antibody against eIF3i protein was 1∶51 200.Western blot and IFA showed that the prepared polyclonal antibody against eIF3i protein had good reactivity and specificity.In conclusion,we successfully prepared rabbit anti-eif3i polyclonal antibody and confirmed that it could specifically recognize endogenous eIF3i protein,which laid a foundation for further study on the biological function of eIF3i protein.

The use of CD20 monoclonal antibody in the treatment of children with refractory nephrotic syndrome (RNS) is a novel drug therapy in recent years. Some CD20 monoclonal antibodies have positive efficacy and few adverse reactions, which can reduce the use of hormone drugs and immunosuppressants to a certain extent. However, the treatment of nephrotic syndrome is off-label, and the application time in clinic is not long, especially for children′s RNS, and more high-quality clinical studies are still needed for long-term efficacy and safety. The application and safety research progress of CD20 monoclonal antibody (including rituximab, ofatumumab, obinutuzumab, etc.) in the treatment of children with RNS from the aspects of mechanism of action, clinical application, pharmacokinetic characteristics, adverse reactions monitoring, and prevention are reviewed in this article, so as to provide reference for rational and safe clinical use.

Objective:To investigate the relationship between artificial radionuclide 137Cs and stable cesium (Cs) in wild edible fungi and seek potential correlations. Methods:A total of 30 samples, including the caps (with gills) and stipes of wild edible fungi, were collected from the northeastern region of China. The measurement and analysis of 137Cs were conducted following recommended procedures in GB/T 16145-2022, and stable Cs was determined using inductively coupled plasma mass spectrometry (ICP-MS). Then, the correlation analysis of data on 137Cs and stable Cs was performed using SPSS 11.5 software, and scatter plots were prepared using the Origin 21.0 software. Results:The fungi caps exhibited a specific activity of 137Cs ranging from 0.52 to 55.9 Bq/kg (dry weight) and a stable Cs content from 0.069 mg/kg to 16.2 mg/kg (dry weight). The stipes showed a specific activity of 137Cs ranging from 0.53 Bq/kg to 101 Bq/kg (dry weight) and a stable Cs content from 0.075 to 11.5 mg/kg (dry weight). These data revealed a significant correlation between the specific activity of 137Cs and the stable cesium content in all samples including caps and stipes, with correlation coefficients r of 0.956, 0.912, and 0.931, respectively, and all significant levels P < 0.01. The ratios of the specific activity of 137Cs to stable Cs content varied from 2.09 Bq/kg to 20.1 Bq/kg (dry weight), with an average of 10.7 Bq/kg (dry weight). Conclusions:Wild edible fungi fail to distinguish between 137Cs and stable cesium when absorbing Cs elements from their growing substrates. Furthermore, there is a strong correlation between the specific activity of 137Cs and stable Cs content. In the case of exogenous 137Cs contamination, the ratio of the specific activity of 137Cs and stable Cs content will significantly change. Therefore, an increase in the ratio can be used as a reference for identifying 137Cs contamination events.