BACKGROUND Obesity is associated with a significantly increased risk for chronic diarrhea,which has been proposed as Linghu’s obesity-diarrhea syndrome(ODS);however,its molecular mechanisms are largely unknown.AIM To...BACKGROUND Obesity is associated with a significantly increased risk for chronic diarrhea,which has been proposed as Linghu’s obesity-diarrhea syndrome(ODS);however,its molecular mechanisms are largely unknown.AIM To reveal the transcriptomic changes in the jejunum involved in ODS.METHODS In a cohort of 6 ODS patients(JOD group),6 obese people without diarrhea(JO group),and 6 healthy controls(JC group),high-throughput sequencing and bioinformatics analyses were performed to identify jejunal mucosal mRNA expression alterations and dysfunctional biological processes.In another cohort of 16 ODS patients(SOD group),16 obese people without diarrhea(SO group),and 16 healthy controls(SC group),serum diamine oxidase(DAO)and D-lactate(DLA)concentrations were detected to assess changes in intestinal barrier function.RESULTS The gene expression profiles of jejunal mucosa in the JO and JC groups were similar,with only 1 differentially expressed gene(DEG).The gene expression profile of the JOD group was significantly changed,with 411 DEGs compared with the JO group and 211 DEGs compared with the JC group,129 of which overlapped.The enrichment analysis of these DEGs showed that the biological processes such as digestion,absorption,and transport of nutrients(especially lipids)tended to be up-regulated in the JOD group,while the biological processes such as rRNA processing,mitochondrial translation,antimicrobial humoral response,DNA replication,and DNA repair tended to be down-regulated in the JOD group.Eight DEGs(CDT1,NHP2,EXOSC5,EPN3,NME1,REG3A,PLA2G2A,and PRSS2)may play a key regulatory role in the pathological process of ODS,and their expression levels were significantly decreased in ODS patients(P<0.001).In the second cohort,compared with healthy controls,the levels of serum intestinal barrier function markers(DAO and D-LA)were significantly increased in all obese individuals(P<0.01),but were higher in the SOD group than in the SO group(P<0.001).CONCLUSION Compared with healthy controls and obese individuals without diarrhea,patients with Linghu’s ODS had extensive transcriptomic changes in the jejunal mucosa,likely affecting intestinal barrier function and thus contributing to the obesity and chronic diarrhea phenotypes.展开更多
Remodeling of ion channels is an important mechanism of arrhythmia induced by heart failure (HF). We investigated the expression of potassium channel encoding genes in the ventricles of rabbit established by volumeo...Remodeling of ion channels is an important mechanism of arrhythmia induced by heart failure (HF). We investigated the expression of potassium channel encoding genes in the ventricles of rabbit established by volumeoverload operation followed with pressure-overload. The reversible effect of these changes with bisoprolol was also evaluated. The HF group exhibited left ventricular enlargement, systolic dysfunction, prolongation of corrected QT interval (QTc), and increased plasma brain natriuretic peptide levels in the HF rabbits. Several potassium channel subunit encoding genes were consistently down-regulated in the HF rabbits. After bisoprolol treatment, heart function was improved significantly and QTc was shortened. Additionally, the mRNA expression of potassium channel subunit genes could be partially reversed. The down-regulated expression of potassium channel subunits Kv4.3, Kv1.4, KvLQT1, minK and Kir 2.1 may contribute to the prolongation of action potential duration in the heart of rabbits induced by volume combined with pressure overload HF. Bisoprolol could partially reverse these down-regulations and improve heart function.展开更多
Positioning technology based on wireless network signals in indoor environments has developed rapidly in recent years as the demand for locationbased services continues to increase.Channel state information(CSI)can be...Positioning technology based on wireless network signals in indoor environments has developed rapidly in recent years as the demand for locationbased services continues to increase.Channel state information(CSI)can be used as location feature information in fingerprint-based positioning systems because it can reflect the characteristics of the signal on multiple subcarriers.However,the random noise contained in the raw CSI information increases the likelihood of confusion when matching fingerprint data.In this paper,the Dynamic Fusion Feature(DFF)is proposed as a new fingerprint formation method to remove the noise and improve the feature resolution of the system,which combines the pre-processed amplitude and phase data.Then,the improved edit distance on real sequence(IEDR)is used as a similarity metric for fingerprint matching.Based on the above studies,we propose a new indoor fingerprint positioning method,named DFF-EDR,for improving positioning performance.During the experimental stage,data were collected and analyzed in two typical indoor environments.The results show that the proposed localization method in this paper effectively improves the feature resolution of the system in terms of both fingerprint features and similarity measures,has good anti-noise capability,and effectively reduces the localization errors.展开更多
According to the results of experiments on the municipal solid waste (MSW), a series of formula are deduced to calculate the leachate free-faced headline curve. By means of static and dynamic finite element method (FE...According to the results of experiments on the municipal solid waste (MSW), a series of formula are deduced to calculate the leachate free-faced headline curve. By means of static and dynamic finite element method (FEM), the stability of a wasteland during earthquakes is analyzed. It is demonstrated that the positions of the most dangerous sliding surfaces during earthquakes are fairly stable. Based on the above findings, this paper developed the New-mark method by increasing the precision to reckon the permanent deformation of wastelands during earthquakes. The method presented in the paper is not only of great importance to instruct the anti-seismic design of wasteland, but also valuable to the design of ordinary dams and embankments.展开更多
BACKGROUND For recurrent achalasia after initial peroral endoscopic myotomy(POEM)failure,repeat POEM(Re-POEM)has been reported as a treatment option.However,severe esophageal interlayer adhesions caused by previous pr...BACKGROUND For recurrent achalasia after initial peroral endoscopic myotomy(POEM)failure,repeat POEM(Re-POEM)has been reported as a treatment option.However,severe esophageal interlayer adhesions caused by previous procedures impede the successful establishment of a submucosal tunnel and lead to aborted Re-POEM procedures.Our team previously described POEM with simultaneous submucosal and muscle dissection(POEM-SSMD)as a feasible solution for achalasia with severe interlayer adhesions.AIM To investigate the effectiveness and safety of Re-POEM with simultaneous submucosal and muscle dissection(Re-POEM-SSMD).METHODS A total of 1049 patients with achalasia who underwent successful endoscopic myotomy at the Digestive Endoscopic Center of Chinese PLA General Hospital from December 2014 to May 2022 were reviewed.Patients with recurrent achalasia who experienced initial POEM clinical failure were retrospectively included in this study.The primary endpoint was retreatment clinical success,defined as an Eckardt score≤3 during the postretreatment follow-up and no need for additional treatment.Procedure-related adverse events,changes in manometric lower esophageal sphincter(LES)pressure and reflux complications,as well as procedure-related parameters,were recorded.RESULTS Sixteen patients underwent Re-POEM(9 patients)or Re-POEM-SSMD(7 patients)successfully at a median of 45.5 mo(range,4-95 mo)after initial POEM.During a median followup period of 31 mo(range,7-96 mo),clinical success(Eckardt score≤3)was achieved in 8(88.9%)and 6(85.7%)patients after Re-POEM and Re-POEM-SSMD,respectively(P=0.849).The median Eckardt score dropped from 4(range,3-8)at preretreatment to 1(range,0-5)at postretreatment in the Re-POEM group(P=0.025)and from 5(range,2-8)to 2(range,0-4)in the Re-POEM-SSMD group(P<0.001).The mean manometric LES pressure decreased from 23.78±9.04 mmHg to 11.45±5.37 mmHg after Re-POEM(P<0.001)and from 26.80±7.48 mmHg to 11.05±4.38 mmHg after Re-POEM-SSMD(P<0.001).No serious adverse events were recorded in both groups.CONCLUSION In conclusion,Re-POEM-SSMD appears to be a safe and effective salvage therapy for recurrent achalasia with severe interlayer adhesions.展开更多
The research of flare forecast based on the machine learning algorithm is an important content of space science.In order to improve the reliability of the data-driven model and weaken the impact of imbalanced data set...The research of flare forecast based on the machine learning algorithm is an important content of space science.In order to improve the reliability of the data-driven model and weaken the impact of imbalanced data set on its forecast performance,we proposes a resampling method suitable for flare forecasting and a Particle Swarm Optimization(PSO)-based Support Vector Machine(SVM)regular term optimization method.Considering the problem of intra-class imbalance and inter-class imbalance in flare samples,we adopt the density clustering method combined with the Synthetic Minority Over-sampling Technique(SMOTE)oversampling method,and performs the interpolation operation based on Euclidean distance on the basis of analyzing the clustering space in the minority class.At the same time,for the problem that the objective function used for strong classification in SVM cannot adapt to the sample noise,In this research,on the basis of adding regularization parameters,the PSO algorithm is used to optimize the hyperparameters,which can maximize the performance of the classifier.Finally,through a comprehensive comparison test,it is proved that the method designed can be well applied to the flare forecast problem,and the effectiveness of the method is proved.展开更多
Eruption of solar flares is a complex nonlinear process,and the rays and high-energy particles generated by such an eruption are detrimental to the reliability of space-based or ground-based systems.So far,there are n...Eruption of solar flares is a complex nonlinear process,and the rays and high-energy particles generated by such an eruption are detrimental to the reliability of space-based or ground-based systems.So far,there are not reliable physical models to accurately account for the flare outburst mechanism,but a lot of data-driven models have been built to study a solar flare and forecast it.In the paper,the status of solar-flare forecasting is reviewed,with emphasis on the machine learning methods and data-processing techniques used in the models.At first,the essential forecast factors strongly relevant to solar flare outbursts,such as classification information of the sunspots and evolution pattern of the magnetic field,are reviewed and analyzed.Subsequently,methods of resampling for data preprocessing are introduced to solve the problems of class imbalance in the solar flare samples.Afterwards,typical model structures adopted for flare forecasting are reviewed from the aspects of the single and fusion models,and the forecast performances of the different models are analyzed.Finally,we herein summarize the current research on solar flare forecasting and outline its development trends.展开更多
文摘BACKGROUND Obesity is associated with a significantly increased risk for chronic diarrhea,which has been proposed as Linghu’s obesity-diarrhea syndrome(ODS);however,its molecular mechanisms are largely unknown.AIM To reveal the transcriptomic changes in the jejunum involved in ODS.METHODS In a cohort of 6 ODS patients(JOD group),6 obese people without diarrhea(JO group),and 6 healthy controls(JC group),high-throughput sequencing and bioinformatics analyses were performed to identify jejunal mucosal mRNA expression alterations and dysfunctional biological processes.In another cohort of 16 ODS patients(SOD group),16 obese people without diarrhea(SO group),and 16 healthy controls(SC group),serum diamine oxidase(DAO)and D-lactate(DLA)concentrations were detected to assess changes in intestinal barrier function.RESULTS The gene expression profiles of jejunal mucosa in the JO and JC groups were similar,with only 1 differentially expressed gene(DEG).The gene expression profile of the JOD group was significantly changed,with 411 DEGs compared with the JO group and 211 DEGs compared with the JC group,129 of which overlapped.The enrichment analysis of these DEGs showed that the biological processes such as digestion,absorption,and transport of nutrients(especially lipids)tended to be up-regulated in the JOD group,while the biological processes such as rRNA processing,mitochondrial translation,antimicrobial humoral response,DNA replication,and DNA repair tended to be down-regulated in the JOD group.Eight DEGs(CDT1,NHP2,EXOSC5,EPN3,NME1,REG3A,PLA2G2A,and PRSS2)may play a key regulatory role in the pathological process of ODS,and their expression levels were significantly decreased in ODS patients(P<0.001).In the second cohort,compared with healthy controls,the levels of serum intestinal barrier function markers(DAO and D-LA)were significantly increased in all obese individuals(P<0.01),but were higher in the SOD group than in the SO group(P<0.001).CONCLUSION Compared with healthy controls and obese individuals without diarrhea,patients with Linghu’s ODS had extensive transcriptomic changes in the jejunal mucosa,likely affecting intestinal barrier function and thus contributing to the obesity and chronic diarrhea phenotypes.
基金supported by the State Key Program of the National Natural Science Foundation of China (No. 30830051)
文摘Remodeling of ion channels is an important mechanism of arrhythmia induced by heart failure (HF). We investigated the expression of potassium channel encoding genes in the ventricles of rabbit established by volumeoverload operation followed with pressure-overload. The reversible effect of these changes with bisoprolol was also evaluated. The HF group exhibited left ventricular enlargement, systolic dysfunction, prolongation of corrected QT interval (QTc), and increased plasma brain natriuretic peptide levels in the HF rabbits. Several potassium channel subunit encoding genes were consistently down-regulated in the HF rabbits. After bisoprolol treatment, heart function was improved significantly and QTc was shortened. Additionally, the mRNA expression of potassium channel subunit genes could be partially reversed. The down-regulated expression of potassium channel subunits Kv4.3, Kv1.4, KvLQT1, minK and Kir 2.1 may contribute to the prolongation of action potential duration in the heart of rabbits induced by volume combined with pressure overload HF. Bisoprolol could partially reverse these down-regulations and improve heart function.
基金This work was financially supported by the National Key Research&Development Program of China under Grant No.2020YFC1511702the Beijing Municipal Natural Science Foundation under Grant No.L191003.
文摘Positioning technology based on wireless network signals in indoor environments has developed rapidly in recent years as the demand for locationbased services continues to increase.Channel state information(CSI)can be used as location feature information in fingerprint-based positioning systems because it can reflect the characteristics of the signal on multiple subcarriers.However,the random noise contained in the raw CSI information increases the likelihood of confusion when matching fingerprint data.In this paper,the Dynamic Fusion Feature(DFF)is proposed as a new fingerprint formation method to remove the noise and improve the feature resolution of the system,which combines the pre-processed amplitude and phase data.Then,the improved edit distance on real sequence(IEDR)is used as a similarity metric for fingerprint matching.Based on the above studies,we propose a new indoor fingerprint positioning method,named DFF-EDR,for improving positioning performance.During the experimental stage,data were collected and analyzed in two typical indoor environments.The results show that the proposed localization method in this paper effectively improves the feature resolution of the system in terms of both fingerprint features and similarity measures,has good anti-noise capability,and effectively reduces the localization errors.
文摘According to the results of experiments on the municipal solid waste (MSW), a series of formula are deduced to calculate the leachate free-faced headline curve. By means of static and dynamic finite element method (FEM), the stability of a wasteland during earthquakes is analyzed. It is demonstrated that the positions of the most dangerous sliding surfaces during earthquakes are fairly stable. Based on the above findings, this paper developed the New-mark method by increasing the precision to reckon the permanent deformation of wastelands during earthquakes. The method presented in the paper is not only of great importance to instruct the anti-seismic design of wasteland, but also valuable to the design of ordinary dams and embankments.
文摘BACKGROUND For recurrent achalasia after initial peroral endoscopic myotomy(POEM)failure,repeat POEM(Re-POEM)has been reported as a treatment option.However,severe esophageal interlayer adhesions caused by previous procedures impede the successful establishment of a submucosal tunnel and lead to aborted Re-POEM procedures.Our team previously described POEM with simultaneous submucosal and muscle dissection(POEM-SSMD)as a feasible solution for achalasia with severe interlayer adhesions.AIM To investigate the effectiveness and safety of Re-POEM with simultaneous submucosal and muscle dissection(Re-POEM-SSMD).METHODS A total of 1049 patients with achalasia who underwent successful endoscopic myotomy at the Digestive Endoscopic Center of Chinese PLA General Hospital from December 2014 to May 2022 were reviewed.Patients with recurrent achalasia who experienced initial POEM clinical failure were retrospectively included in this study.The primary endpoint was retreatment clinical success,defined as an Eckardt score≤3 during the postretreatment follow-up and no need for additional treatment.Procedure-related adverse events,changes in manometric lower esophageal sphincter(LES)pressure and reflux complications,as well as procedure-related parameters,were recorded.RESULTS Sixteen patients underwent Re-POEM(9 patients)or Re-POEM-SSMD(7 patients)successfully at a median of 45.5 mo(range,4-95 mo)after initial POEM.During a median followup period of 31 mo(range,7-96 mo),clinical success(Eckardt score≤3)was achieved in 8(88.9%)and 6(85.7%)patients after Re-POEM and Re-POEM-SSMD,respectively(P=0.849).The median Eckardt score dropped from 4(range,3-8)at preretreatment to 1(range,0-5)at postretreatment in the Re-POEM group(P=0.025)and from 5(range,2-8)to 2(range,0-4)in the Re-POEM-SSMD group(P<0.001).The mean manometric LES pressure decreased from 23.78±9.04 mmHg to 11.45±5.37 mmHg after Re-POEM(P<0.001)and from 26.80±7.48 mmHg to 11.05±4.38 mmHg after Re-POEM-SSMD(P<0.001).No serious adverse events were recorded in both groups.CONCLUSION In conclusion,Re-POEM-SSMD appears to be a safe and effective salvage therapy for recurrent achalasia with severe interlayer adhesions.
基金the support of the National Key Research and Development Program of China(No.2022YFF0503601)the National Natural Science Foundation of China(No.11975086)。
文摘The research of flare forecast based on the machine learning algorithm is an important content of space science.In order to improve the reliability of the data-driven model and weaken the impact of imbalanced data set on its forecast performance,we proposes a resampling method suitable for flare forecasting and a Particle Swarm Optimization(PSO)-based Support Vector Machine(SVM)regular term optimization method.Considering the problem of intra-class imbalance and inter-class imbalance in flare samples,we adopt the density clustering method combined with the Synthetic Minority Over-sampling Technique(SMOTE)oversampling method,and performs the interpolation operation based on Euclidean distance on the basis of analyzing the clustering space in the minority class.At the same time,for the problem that the objective function used for strong classification in SVM cannot adapt to the sample noise,In this research,on the basis of adding regularization parameters,the PSO algorithm is used to optimize the hyperparameters,which can maximize the performance of the classifier.Finally,through a comprehensive comparison test,it is proved that the method designed can be well applied to the flare forecast problem,and the effectiveness of the method is proved.
基金the support of the National Key Research and Development Program of China(No.2022YFA1604600)the National Natural Science Foundation of China(NSFC,Grant No.11975086)。
文摘Eruption of solar flares is a complex nonlinear process,and the rays and high-energy particles generated by such an eruption are detrimental to the reliability of space-based or ground-based systems.So far,there are not reliable physical models to accurately account for the flare outburst mechanism,but a lot of data-driven models have been built to study a solar flare and forecast it.In the paper,the status of solar-flare forecasting is reviewed,with emphasis on the machine learning methods and data-processing techniques used in the models.At first,the essential forecast factors strongly relevant to solar flare outbursts,such as classification information of the sunspots and evolution pattern of the magnetic field,are reviewed and analyzed.Subsequently,methods of resampling for data preprocessing are introduced to solve the problems of class imbalance in the solar flare samples.Afterwards,typical model structures adopted for flare forecasting are reviewed from the aspects of the single and fusion models,and the forecast performances of the different models are analyzed.Finally,we herein summarize the current research on solar flare forecasting and outline its development trends.