BACKGROUND Among older adults,type 2 diabetes mellitus(T2DM)is widely recognized as one of the most prevalent diseases.Diabetic nephropathy(DN)is a frequent com-plication of DM,mainly characterized by renal microvascu...BACKGROUND Among older adults,type 2 diabetes mellitus(T2DM)is widely recognized as one of the most prevalent diseases.Diabetic nephropathy(DN)is a frequent com-plication of DM,mainly characterized by renal microvascular damage.Early detection,aggressive prevention,and cure of DN are key to improving prognosis.Establishing a diagnostic and predictive model for DN is crucial in auxiliary diagnosis.AIM To investigate the factors that impact T2DM complicated with DN and utilize this information to develop a predictive model.METHODS The clinical data of 210 patients diagnosed with T2DM and admitted to the First People’s Hospital of Wenling between August 2019 and August 2022 were retrospectively analyzed.According to whether the patients had DN,they were divided into the DN group(complicated with DN)and the non-DN group(without DN).Multivariate logistic regression analysis was used to explore factors affecting DN in patients with T2DM.The data were randomly split into a training set(n=147)and a test set(n=63)in a 7:3 ratio using a random function.The training set was used to construct the nomogram,decision tree,and random forest models,and the test set was used to evaluate the prediction performance of the model by comparing the sensitivity,specificity,accuracy,recall,precision,and area under the receiver operating characteristic curve.RESULTS Among the 210 patients with T2DM,74(35.34%)had DN.The validation dataset showed that the accuracies of the nomogram,decision tree,and random forest models in predicting DN in patients with T2DM were 0.746,0.714,and 0.730,respectively.The sensitivities were 0.710,0.710,and 0.806,respectively;the specificities were 0.844,0.875,and 0.844,respectively;the area under the receiver operating characteristic curve(AUC)of the patients were 0.811,0.735,and 0.850,respectively.The Delong test results revealed that the AUC values of the decision tree model were lower than those of the random forest and nomogram models(P<0.05),whereas the difference in AUC values of the random forest and column-line graph models was not statistically significant(P>0.05).CONCLUSION Among the three prediction models,random forest performs best and can help identify patients with T2DM at high risk of DN.展开更多
In the present work,a new transient calculation method for parameters that can be used to evaluate the ability of oxygen control in a non-isothermal lead-bismuth eutectic(LBE)loop with solid-phase oxygen control was p...In the present work,a new transient calculation method for parameters that can be used to evaluate the ability of oxygen control in a non-isothermal lead-bismuth eutectic(LBE)loop with solid-phase oxygen control was proposed.It incorporates the dissolution process of PbO particles and the oxygen mass transfer process,and an optimized method was used for finding out the optimized oxygen mass transfer coefficient.In numerical terms,three mass transfer models were simultaneously applied,and comparisons of calculated and experimental results from the CRAFT loop indicated that the optimized calculation method and these new oxygen mass transfer models were correct and applicable to other LBE loops.Through this calculation method,we aimed to optimize prediction of the distribution of oxygen and iron concentrations,time taken to establish the steady state of oxygen,and maximum dissolution/precipitation rates of corrosion products and corrosion depth across the entire LBE loop.We hope that this work will provide a potential reference for designing a more intelligent oxygen control system in the future.展开更多
Low-energy proton irradiation effects on the optical properties and the molecular structure of phenyl-C_(61)-butyric acid methyl ester(PCBM)are studied in this work.The PCBM films are irradiated by 100-keV proton beam...Low-energy proton irradiation effects on the optical properties and the molecular structure of phenyl-C_(61)-butyric acid methyl ester(PCBM)are studied in this work.The PCBM films are irradiated by 100-keV proton beams with fluences of 5×10^(12)p/cm^(2),5×10^(13)p/cm^(2),and 5×10^(14)p/cm^(2),respectively.The photoluminescence(PL)peaks of the post-irradiated PCBM films show a progressive decrease in the peak intensity as the proton fluences increase,which can be attributed to the deep defect levels induced by proton irradiation.Additionally,a slight blue-shift in the PL spectrum is also observed at a proton fluence of 5×10^(14)p/cm^(2).The underlying mechanism can be traced back to the lift of the lowest unoccupied molecular orbital(LUMO)level,which is caused by the attachment of methoxy radicals on ortho position of the phenyl ring in the post-irradiated PCBM structure.This work is of significance in understanding the radiation hardness and the damage mechanism of the PCBM film in radiation environments,which is essential before it is put into practical application in space.展开更多
基金The study was reviewed and approved by the First People’s Hospital of Wenling(Approval No.KY-2023-2034-01).
文摘BACKGROUND Among older adults,type 2 diabetes mellitus(T2DM)is widely recognized as one of the most prevalent diseases.Diabetic nephropathy(DN)is a frequent com-plication of DM,mainly characterized by renal microvascular damage.Early detection,aggressive prevention,and cure of DN are key to improving prognosis.Establishing a diagnostic and predictive model for DN is crucial in auxiliary diagnosis.AIM To investigate the factors that impact T2DM complicated with DN and utilize this information to develop a predictive model.METHODS The clinical data of 210 patients diagnosed with T2DM and admitted to the First People’s Hospital of Wenling between August 2019 and August 2022 were retrospectively analyzed.According to whether the patients had DN,they were divided into the DN group(complicated with DN)and the non-DN group(without DN).Multivariate logistic regression analysis was used to explore factors affecting DN in patients with T2DM.The data were randomly split into a training set(n=147)and a test set(n=63)in a 7:3 ratio using a random function.The training set was used to construct the nomogram,decision tree,and random forest models,and the test set was used to evaluate the prediction performance of the model by comparing the sensitivity,specificity,accuracy,recall,precision,and area under the receiver operating characteristic curve.RESULTS Among the 210 patients with T2DM,74(35.34%)had DN.The validation dataset showed that the accuracies of the nomogram,decision tree,and random forest models in predicting DN in patients with T2DM were 0.746,0.714,and 0.730,respectively.The sensitivities were 0.710,0.710,and 0.806,respectively;the specificities were 0.844,0.875,and 0.844,respectively;the area under the receiver operating characteristic curve(AUC)of the patients were 0.811,0.735,and 0.850,respectively.The Delong test results revealed that the AUC values of the decision tree model were lower than those of the random forest and nomogram models(P<0.05),whereas the difference in AUC values of the random forest and column-line graph models was not statistically significant(P>0.05).CONCLUSION Among the three prediction models,random forest performs best and can help identify patients with T2DM at high risk of DN.
基金supported by the National Natural Science Foundation of China (Nos. 12027813 and 12105101)the Fundamental Research Funds for the National key project (No. 2019YFB1901301)
文摘In the present work,a new transient calculation method for parameters that can be used to evaluate the ability of oxygen control in a non-isothermal lead-bismuth eutectic(LBE)loop with solid-phase oxygen control was proposed.It incorporates the dissolution process of PbO particles and the oxygen mass transfer process,and an optimized method was used for finding out the optimized oxygen mass transfer coefficient.In numerical terms,three mass transfer models were simultaneously applied,and comparisons of calculated and experimental results from the CRAFT loop indicated that the optimized calculation method and these new oxygen mass transfer models were correct and applicable to other LBE loops.Through this calculation method,we aimed to optimize prediction of the distribution of oxygen and iron concentrations,time taken to establish the steady state of oxygen,and maximum dissolution/precipitation rates of corrosion products and corrosion depth across the entire LBE loop.We hope that this work will provide a potential reference for designing a more intelligent oxygen control system in the future.
基金Project supported by the Youth Innovation Promotion Association,Chinese Academy of Sciencesthe National Natural Science Foundation of China(Grant No.61874135)the Foundation of Frontier Science of the Chinese Academy of Sciences(Grant No.ZDBS-LY-JSC015)。
文摘Low-energy proton irradiation effects on the optical properties and the molecular structure of phenyl-C_(61)-butyric acid methyl ester(PCBM)are studied in this work.The PCBM films are irradiated by 100-keV proton beams with fluences of 5×10^(12)p/cm^(2),5×10^(13)p/cm^(2),and 5×10^(14)p/cm^(2),respectively.The photoluminescence(PL)peaks of the post-irradiated PCBM films show a progressive decrease in the peak intensity as the proton fluences increase,which can be attributed to the deep defect levels induced by proton irradiation.Additionally,a slight blue-shift in the PL spectrum is also observed at a proton fluence of 5×10^(14)p/cm^(2).The underlying mechanism can be traced back to the lift of the lowest unoccupied molecular orbital(LUMO)level,which is caused by the attachment of methoxy radicals on ortho position of the phenyl ring in the post-irradiated PCBM structure.This work is of significance in understanding the radiation hardness and the damage mechanism of the PCBM film in radiation environments,which is essential before it is put into practical application in space.
