A novel hydrangea-like boron and nitrogen co-doped carbon material synthesised by the cross-linking reaction of spiny spherical polymers and co-doped with boron and nitrogen(B/N)via high-temperature calcination was us...A novel hydrangea-like boron and nitrogen co-doped carbon material synthesised by the cross-linking reaction of spiny spherical polymers and co-doped with boron and nitrogen(B/N)via high-temperature calcination was used to construct an electrochemical sensor for the detection of aristolochic acid.Under optimal conditions,the sensor showed good electrochemical response to aristolochic acid,with a theoretical detection limit of 47.3 nmol/L and the sensitivity reaching 0.31μA Lμmol^(-1)cm^(-2).Moreover,the sensor was successfully applied to the detection of aristolochic acid in the extracts of Chinese herbal medicine samples,and the detection results were consistent with those of high-performance liquid chromatography.With a strong selectivity for substances to be measured in complex environments,this study provides a new and efficient method by which to detect aristolochic acid in Chinese herbal medicine,which greatly expands the application field of B/N heteroatom-doped carbon materials.展开更多
The recycling of CO_(2)through electrochemical processes offers a promising solution for alleviating the greenhouse effect;however,the activation of CO_(2)and desorption of^(*)CO in electrocatalytic CO_(2)reduction(EC...The recycling of CO_(2)through electrochemical processes offers a promising solution for alleviating the greenhouse effect;however,the activation of CO_(2)and desorption of^(*)CO in electrocatalytic CO_(2)reduction(ECR)frequently encounter high energy barriers and competitive hydrogen evolution reactions(HERs),which are urgent problems that need to be addressed.In this study,a catalyst(P100-Fe-N/C)with homogeneous P-tuned FeN_(2)binuclear sites(N_(2)PFe-FePN_(2))was successfully synthesised,demonstrating satisfactory performance in the ECR to CO.P100-Fe-N/C attains a peak FECOof 98.01%and a normalized TOF of 664.7 h-1at-0.7 VRHE,surpassing the performance of the Fe binuclear catalyst without P and singleatoms catalysts.In the MEA cell,a FECOexceeding 90%can still be achieved.Density functional theory analysis indicates that the asymmetric coordination configuration induced by the incorporation of P facilitates a reduction in the system's energy.The modulation of P results in the d-band centre of the catalyst being positioned closer to the Fermi level,which facilitates the interaction of the catalyst with CO_(2),allowing more electrons to be injected into the CO_(2)molecule at the Fe binuclear sites and inhibiting the HER.The P-tuned FeN_(2)binuclear sites effectively lower the^(*)CO desorption barrier.展开更多
Fault diagnosis is essential for the normal and safe operation of dynamic systems.To improve the spatial resolution among multiple channels and the discriminability among categories of the original data collected from...Fault diagnosis is essential for the normal and safe operation of dynamic systems.To improve the spatial resolution among multiple channels and the discriminability among categories of the original data collected from actual operating equipments and to further achieve high diagnostic accuracy,this paper proposes a method for fault diagnosis by cascaded space projection(CSP)and a convolutional neural network(CNN)model.First,one of every kind of sample is selected from the original data to calculate the PCA transformation matrices.Second,the original data are expanded to 10 dimensions by the W2C projection matrix provided by Google-image searching,which is the main part of CSP.Third,the ten-dimensional matrix is multiplied by the PCA transformation matrix,which corresponds to its fault type,to make the data more representative by reducing unnecessary dimensions.Finally,the processed data are converted into images to input into a CNN,the backbone structure for fault diagnosis.To verify the effectiveness and reliability of the proposed method,the Case Western Reserve University(CWRU)and Xi’an Jiaotong University(XJTU-SY)rolling bearing datasets are used to perform experiments.Comparison with other methods is carried out to show the superiority of the proposed method.The experimental results demonstrate that the method proposed in this paper can effectively achieve 100%accuracy.展开更多
In view of the influence of aliasing noise on the effectiveness and accuracy of bearing fault diagnosis,a bearing fault diagnosis algorithm based on the spatial decoupling method of modified kernel principal component...In view of the influence of aliasing noise on the effectiveness and accuracy of bearing fault diagnosis,a bearing fault diagnosis algorithm based on the spatial decoupling method of modified kernel principal component analysis(MKPCA)and the residual network with deformable convolution(DC‐ResNet)is innovatively proposed.Firstly,the Gaussian noise with different signal‐to‐noise ratios(SNRs)is added to the data to simulate the different degrees of noise in the actual data acquisition process.The MKPCA is used to project the fault signal with different SNRs in the kernel space to reduce the data dimension and eliminate some noise effects.Finally,the DC‐ResNet model is used to further filter the noise effects and fully extract the fault features through the training of the preprocessed data.The proposed algorithm is tested on the Case Western Reserve University(CWRU)and Xi'an Jiaotong University and Changxing Sumyoung Technology Co.,Ltd.(XJTU‐SY)bearing data sets with different SNR noise.The fault diagnosis accuracy can reach 100%within 30 min,which has better performance than most of the existing methods.The experimental results show that the algorithm has an excellent effect on accuracy and computation complexity under different noise levels.展开更多
Gestational diabetes mellitus(GDM)is common during pregnancy,with the prevalence reaching as high as 31.0%in some European regions(McIntyre et al.,2019).Dysfunction of the glucose metabolism in pregnancy can influence...Gestational diabetes mellitus(GDM)is common during pregnancy,with the prevalence reaching as high as 31.0%in some European regions(McIntyre et al.,2019).Dysfunction of the glucose metabolism in pregnancy can influence fetal growth via alteration of the intrauterine environment,resulting in an increased risk of abnormal ofispring birth weight(McIntyre et al.,2019).Infants with abnormal birth weight will be foced with increased risks of neonatal complications in the perinatal period and chronic non-communicable diseases in childhood and adulthood(Mitanchez et al.,2015;McIntyre et al.,2019).展开更多
Backgrounds:At present,there is no consensus on the induction methods in term pregnancy with borderline oligohydramnios.This study aimed to compare the effectiveness and pregnancy outcomes of labor induction with dino...Backgrounds:At present,there is no consensus on the induction methods in term pregnancy with borderline oligohydramnios.This study aimed to compare the effectiveness and pregnancy outcomes of labor induction with dinoprostone or single-balloon catheter(SBC)in term nulliparous women with borderline oligohydramnios.Methods:We conducted a retrospective cohort study from January 2016 to November 2018.During the study period,a total of 244 cases were enrolled.Of these,103 cases were selected for induction using dinoprostone and 141 cases were selected for induction with SBC.The pregnancy outcomes between the two groups were compared.Primary outcomes were successful vaginal delivery rates.Secondary outcomes were maternal and neonatal adverse events.Multivariate logistic regression was used to assess the risk factors for vaginal delivery failure in the two groups.Results:The successful vaginal delivery rates were similar between the dinoprostone group and the SBC group(64.1%[66/103]vs.59.6%,[84/141]P=0.475),even after adjustment for potential confounding factors(adjusted odds ratio[aOR]:1.07,95%confidence interval[CI]:0.57-2.00,P=0.835).The incidence of intra-amniotic infection was lower in the dinoprostone group than in the SBC group(1.9%[2/103]vs.7.8%[11/141],P<0.001),but the presence of non-reassuring fetal heart rate was higher in the dinoprostone group than in the SBC group(12.6%[13/103]vs.0.7%,[1/141]P<0.001).Multivariate logistic regression showed that nuchal cord was a risk factor for vaginal delivery failure after induction with dinoprostone(aOR:6.71,95%CI:1.96-22.95).There were three factors related to vaginal delivery failure after induction with SBC,namely gestational age(aOR:1.51,95%CI:1.07-2.14),body mass index(BMI)>30 kg/m^(2)(aOR:2.98,95%CI:1.10-8.02),and fetal weight>3500 g(aOR:2.49,95%CI:1.12-5.50).Conclusions:Term nulliparous women with borderline oligohydramnios have similar successful vaginal delivery rates after induction with dinoprostone or SBC,with their advantages and disadvantages.In women with nuchal cord,the risk of vaginal delivery failure is increased if dinoprostone is used in the induction of labor.BMI>30 kg/m^(2),large gestational age,and estimated fetal weight>3500 g are risk factors for vaginal delivery failure after induction with SBC.展开更多
基金funded by the National Natural Science Foundation of China(No.22476170)Science and Technology Talent and Platform Program of Yunnan Provincial Science and Technology Department(No.202505AW340011)。
文摘A novel hydrangea-like boron and nitrogen co-doped carbon material synthesised by the cross-linking reaction of spiny spherical polymers and co-doped with boron and nitrogen(B/N)via high-temperature calcination was used to construct an electrochemical sensor for the detection of aristolochic acid.Under optimal conditions,the sensor showed good electrochemical response to aristolochic acid,with a theoretical detection limit of 47.3 nmol/L and the sensitivity reaching 0.31μA Lμmol^(-1)cm^(-2).Moreover,the sensor was successfully applied to the detection of aristolochic acid in the extracts of Chinese herbal medicine samples,and the detection results were consistent with those of high-performance liquid chromatography.With a strong selectivity for substances to be measured in complex environments,this study provides a new and efficient method by which to detect aristolochic acid in Chinese herbal medicine,which greatly expands the application field of B/N heteroatom-doped carbon materials.
基金financially supported by the National Natural Science Foundation of China-Yunnan Joint Fund(U2002213)Science and Technology Talent and Platform Program of Yunnan Provincial Science and Technology Department(202305AM070001)+1 种基金the Xingdian Talent Program of Yunnan Provincethe Double-First Class University Plan(C176220100042).
文摘The recycling of CO_(2)through electrochemical processes offers a promising solution for alleviating the greenhouse effect;however,the activation of CO_(2)and desorption of^(*)CO in electrocatalytic CO_(2)reduction(ECR)frequently encounter high energy barriers and competitive hydrogen evolution reactions(HERs),which are urgent problems that need to be addressed.In this study,a catalyst(P100-Fe-N/C)with homogeneous P-tuned FeN_(2)binuclear sites(N_(2)PFe-FePN_(2))was successfully synthesised,demonstrating satisfactory performance in the ECR to CO.P100-Fe-N/C attains a peak FECOof 98.01%and a normalized TOF of 664.7 h-1at-0.7 VRHE,surpassing the performance of the Fe binuclear catalyst without P and singleatoms catalysts.In the MEA cell,a FECOexceeding 90%can still be achieved.Density functional theory analysis indicates that the asymmetric coordination configuration induced by the incorporation of P facilitates a reduction in the system's energy.The modulation of P results in the d-band centre of the catalyst being positioned closer to the Fermi level,which facilitates the interaction of the catalyst with CO_(2),allowing more electrons to be injected into the CO_(2)molecule at the Fe binuclear sites and inhibiting the HER.The P-tuned FeN_(2)binuclear sites effectively lower the^(*)CO desorption barrier.
基金the National Natural Science Foundation of China(Nos.61973105,61573130,U1504506)the Fundamental Research Funds for the Universities of Henan Province(No.NSFRF200504)+2 种基金the Key Technologies R&D Program of Henan Province of China(Nos.212102210145,212102210197,192102210073)the Foundation for University Key Teachers from Henan Province of China(No.2017GGJS051)the Fundamental Research Funds for the Universities of Henan Province(No.NSFRF200310).
文摘Fault diagnosis is essential for the normal and safe operation of dynamic systems.To improve the spatial resolution among multiple channels and the discriminability among categories of the original data collected from actual operating equipments and to further achieve high diagnostic accuracy,this paper proposes a method for fault diagnosis by cascaded space projection(CSP)and a convolutional neural network(CNN)model.First,one of every kind of sample is selected from the original data to calculate the PCA transformation matrices.Second,the original data are expanded to 10 dimensions by the W2C projection matrix provided by Google-image searching,which is the main part of CSP.Third,the ten-dimensional matrix is multiplied by the PCA transformation matrix,which corresponds to its fault type,to make the data more representative by reducing unnecessary dimensions.Finally,the processed data are converted into images to input into a CNN,the backbone structure for fault diagnosis.To verify the effectiveness and reliability of the proposed method,the Case Western Reserve University(CWRU)and Xi’an Jiaotong University(XJTU-SY)rolling bearing datasets are used to perform experiments.Comparison with other methods is carried out to show the superiority of the proposed method.The experimental results demonstrate that the method proposed in this paper can effectively achieve 100%accuracy.
基金funded by the Foundation of the National Natural Science Foundation of China grant number 61973105,61573130 and 52177039the Fundamental Research Funds for the Universities of Henan Province(NO.NSFRF200504)The Key Technologies R&D Program of Henan Province of China(NO.212102210145,212102210197 and NO.222102220016).
文摘In view of the influence of aliasing noise on the effectiveness and accuracy of bearing fault diagnosis,a bearing fault diagnosis algorithm based on the spatial decoupling method of modified kernel principal component analysis(MKPCA)and the residual network with deformable convolution(DC‐ResNet)is innovatively proposed.Firstly,the Gaussian noise with different signal‐to‐noise ratios(SNRs)is added to the data to simulate the different degrees of noise in the actual data acquisition process.The MKPCA is used to project the fault signal with different SNRs in the kernel space to reduce the data dimension and eliminate some noise effects.Finally,the DC‐ResNet model is used to further filter the noise effects and fully extract the fault features through the training of the preprocessed data.The proposed algorithm is tested on the Case Western Reserve University(CWRU)and Xi'an Jiaotong University and Changxing Sumyoung Technology Co.,Ltd.(XJTU‐SY)bearing data sets with different SNR noise.The fault diagnosis accuracy can reach 100%within 30 min,which has better performance than most of the existing methods.The experimental results show that the algorithm has an excellent effect on accuracy and computation complexity under different noise levels.
基金supported by the Key Research and Development Project of Zhejiang Province(No.2018C03010)the Natural Science Foundation of Zhejiang Province(No.LQ20H040005),China。
文摘Gestational diabetes mellitus(GDM)is common during pregnancy,with the prevalence reaching as high as 31.0%in some European regions(McIntyre et al.,2019).Dysfunction of the glucose metabolism in pregnancy can influence fetal growth via alteration of the intrauterine environment,resulting in an increased risk of abnormal ofispring birth weight(McIntyre et al.,2019).Infants with abnormal birth weight will be foced with increased risks of neonatal complications in the perinatal period and chronic non-communicable diseases in childhood and adulthood(Mitanchez et al.,2015;McIntyre et al.,2019).
文摘Backgrounds:At present,there is no consensus on the induction methods in term pregnancy with borderline oligohydramnios.This study aimed to compare the effectiveness and pregnancy outcomes of labor induction with dinoprostone or single-balloon catheter(SBC)in term nulliparous women with borderline oligohydramnios.Methods:We conducted a retrospective cohort study from January 2016 to November 2018.During the study period,a total of 244 cases were enrolled.Of these,103 cases were selected for induction using dinoprostone and 141 cases were selected for induction with SBC.The pregnancy outcomes between the two groups were compared.Primary outcomes were successful vaginal delivery rates.Secondary outcomes were maternal and neonatal adverse events.Multivariate logistic regression was used to assess the risk factors for vaginal delivery failure in the two groups.Results:The successful vaginal delivery rates were similar between the dinoprostone group and the SBC group(64.1%[66/103]vs.59.6%,[84/141]P=0.475),even after adjustment for potential confounding factors(adjusted odds ratio[aOR]:1.07,95%confidence interval[CI]:0.57-2.00,P=0.835).The incidence of intra-amniotic infection was lower in the dinoprostone group than in the SBC group(1.9%[2/103]vs.7.8%[11/141],P<0.001),but the presence of non-reassuring fetal heart rate was higher in the dinoprostone group than in the SBC group(12.6%[13/103]vs.0.7%,[1/141]P<0.001).Multivariate logistic regression showed that nuchal cord was a risk factor for vaginal delivery failure after induction with dinoprostone(aOR:6.71,95%CI:1.96-22.95).There were three factors related to vaginal delivery failure after induction with SBC,namely gestational age(aOR:1.51,95%CI:1.07-2.14),body mass index(BMI)>30 kg/m^(2)(aOR:2.98,95%CI:1.10-8.02),and fetal weight>3500 g(aOR:2.49,95%CI:1.12-5.50).Conclusions:Term nulliparous women with borderline oligohydramnios have similar successful vaginal delivery rates after induction with dinoprostone or SBC,with their advantages and disadvantages.In women with nuchal cord,the risk of vaginal delivery failure is increased if dinoprostone is used in the induction of labor.BMI>30 kg/m^(2),large gestational age,and estimated fetal weight>3500 g are risk factors for vaginal delivery failure after induction with SBC.
