The aim of the present study is to analyze the global research trend of radiation-responsive genes and identify the highly reproducible radiation-responsive genes. Bibliometric methods were applied to analyze the glob...The aim of the present study is to analyze the global research trend of radiation-responsive genes and identify the highly reproducible radiation-responsive genes. Bibliometric methods were applied to analyze the global research trend of radiation-responsive genes. We found 79 publications on radiation-responsive genes from 2000 to 2017. A total of 35 highly reproducible radiation-responsive genes were identified. Most genes are involved in response to DNA damage, cell proliferation, cell cycle regulation, and DNA repair.The p53 signal pathway was the top enriched pathway. The expression levels of 18 genes in human B lymphoblastoid cell line（AHH-1） cells were significantly up-regulated in a dose-dependent manner at 24 h after exposure to 0-5 Gy ^60 Coγ-ray irradiation. Our results indicate that developing a gene expression panel with the 35 high reproducibility radiation-responsive genes may be necessary for qualitative and quantitative assessment after exposure.展开更多
MicroRNAs(miRNAs)are small RNA molecules with important roles in post-transcriptional regulation of gene expression.In recent years,the predicted number of miRNAs has skyrocketed,largely as a consequence of high-throu...MicroRNAs(miRNAs)are small RNA molecules with important roles in post-transcriptional regulation of gene expression.In recent years,the predicted number of miRNAs has skyrocketed,largely as a consequence of high-throughput sequencing technologies becoming ubiquitous.This dramatic increase in miRNA candidates poses multiple challenges in terms of data deposition,curation,and validation.Although multiple databases containing miRNA annotations and targets have been developed,ensuring data quality by validating miRNA-target interactions requires the efforts of the research community.In order to generate databases containing biologically active miRNAs,it is imperative to overcome a multitude of hurdles,including restricted miRNA expression patterns,distinct miRNA biogenesis machineries,and divergent miRNA-mRNA interaction dynamics.In the present review,we discuss recent advances and limitations in miRNA prediction,identification,and validation.Lastly,we focus on the most enriched neuronal miRNA,miR-124,and its gene regulatory network in human neurons,which has been revealed using a combined computational and experimental approach.展开更多
The flight control system of a fly-by-wire （FBW） passenger airliner with a complex frame-work and high feedback gain augmentation would change the original characteristic of a loaded signal and suppress the excitati...The flight control system of a fly-by-wire （FBW） passenger airliner with a complex frame-work and high feedback gain augmentation would change the original characteristic of a loaded signal and suppress the excitation of an airplane＇s pertinent motion modes. Taking a research example of an FBW passenger airliner model with longitudinal relaxed-static-stability, a new method of signal type selection and signal parameter design is proposed, through analysis of signal energy distribution and plane body＇s frequency response. According to CCAR60--the Appraisal and Use Regulation of Flight Simulator Device, the simulation validation of the FBW passenger airliner＇s longitudinal aerodynamic parameters identification is put forward. The validation result indicates that the designed signal could excite the longitudinal motion mode of the FBW passenger airliner adequately and the multiparameter comparison in simulation meets the objective test request of CCAR60. Meanwhile, the relative errors of aerodynamic parameters are less than 10%.展开更多
A normal phase enantioselective high performance liquid chromatographic method was developed for enantiomeric resolution of Ezetimibe it reduces the overall delivery of cholesterol to the liver. The enantiomers of Eze...A normal phase enantioselective high performance liquid chromatographic method was developed for enantiomeric resolution of Ezetimibe it reduces the overall delivery of cholesterol to the liver. The enantiomers of Ezetimibe were resolved on a Chiral Pak AS-H (250 × 4.6 mm, 5 μm) column using a mobile phase system containing n-Hexane, etha-nol, 2-Propanol and Trifloroacetic acid (84:12:4:0.1 v/v). The resolution between enantiomers was found to be more than 2.0. The limit of detection and limit of quantification of (R)-enantiomer were found to be 0.2 μg/mL and 0.5 μg/mL, respectively, for 10 μL injection volume. The sample solution and mobile phase were found to be stable for at least 48 h. The final optimized method was successfully applied to separate (R)-enantiomer from Ezetimibe and was proven to be reproducible and accurate for the quantitative determination of (R)-enantiomer in bulk drugs.展开更多
This paper deals with the problem of piecewise auto regressive systems with exogenous input(PWARX) model identification based on clustering solution. This problem involves both the estimation of the parameters of the ...This paper deals with the problem of piecewise auto regressive systems with exogenous input(PWARX) model identification based on clustering solution. This problem involves both the estimation of the parameters of the affine sub-models and the hyper planes defining the partitions of the state-input regression. The existing identification methods present three main drawbacks which limit its effectiveness. First, most of them may converge to local minima in the case of poor initializations because they are based on the optimization using nonlinear criteria. Second, they use simple and ineffective techniques to remove outliers. Third, most of them assume that the number of sub-models is known a priori. To overcome these drawbacks, we suggest the use of the density-based spatial clustering of applications with noise(DBSCAN) algorithm. The results presented in this paper illustrate the performance of our methods in comparison with the existing approach. An application of the developed approach to an olive oil esterification reactor is also proposed in order to validate the simulation results.展开更多
This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.Based on the estimation theory,a synthetic error-i...This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.Based on the estimation theory,a synthetic error-index(SEI)criterion for the neural network models has been developed.By using the powerful training algorithm of recursive prediction error (RPE),two simulated non-linear systems are studied,and the results show that the synthetic error-index criterion can be used to verify the dynamic neural network models.Furthermore,the proposed technique is much simple in calculation than that of the effective correlation tests.Finally,some problems required by further study are discussed.展开更多
In order to achieve prediction for vibration of rotating machinery, an accurate finite element （FE） model and an efficient parameter identification method of the rotor system are required. In this research, a test r...In order to achieve prediction for vibration of rotating machinery, an accurate finite element （FE） model and an efficient parameter identification method of the rotor system are required. In this research, a test rig is used as a prototype of a rotor system to validate a novel parameter identification technique based on an FE model. Rotor shaft vibration at varying operating speeds is measured and correlated with the FE results. Firstly, the theories of the FE modelling and identification technique are introduced. Then disk unbalance parameter, stiffness and damping coefficients of the bearing supports on the test rig are identified. The calculated responses of the FE model with identified parameters are studied in comparison with the experimental results.展开更多
基金financially supported by the National Natural Science Foundation of China[Nos.81172593,81573081]
文摘The aim of the present study is to analyze the global research trend of radiation-responsive genes and identify the highly reproducible radiation-responsive genes. Bibliometric methods were applied to analyze the global research trend of radiation-responsive genes. We found 79 publications on radiation-responsive genes from 2000 to 2017. A total of 35 highly reproducible radiation-responsive genes were identified. Most genes are involved in response to DNA damage, cell proliferation, cell cycle regulation, and DNA repair.The p53 signal pathway was the top enriched pathway. The expression levels of 18 genes in human B lymphoblastoid cell line（AHH-1） cells were significantly up-regulated in a dose-dependent manner at 24 h after exposure to 0-5 Gy ^60 Coγ-ray irradiation. Our results indicate that developing a gene expression panel with the 35 high reproducibility radiation-responsive genes may be necessary for qualitative and quantitative assessment after exposure.
基金supported by a Volkswagen Foundation Freigeist fellowship(A110720)by an European Research Council starting grant(678071-ProNeurons)supported by the Dresden International Graduate School for Biomedicine and Bioengineering(DIGS-BB)program
文摘MicroRNAs(miRNAs)are small RNA molecules with important roles in post-transcriptional regulation of gene expression.In recent years,the predicted number of miRNAs has skyrocketed,largely as a consequence of high-throughput sequencing technologies becoming ubiquitous.This dramatic increase in miRNA candidates poses multiple challenges in terms of data deposition,curation,and validation.Although multiple databases containing miRNA annotations and targets have been developed,ensuring data quality by validating miRNA-target interactions requires the efforts of the research community.In order to generate databases containing biologically active miRNAs,it is imperative to overcome a multitude of hurdles,including restricted miRNA expression patterns,distinct miRNA biogenesis machineries,and divergent miRNA-mRNA interaction dynamics.In the present review,we discuss recent advances and limitations in miRNA prediction,identification,and validation.Lastly,we focus on the most enriched neuronal miRNA,miR-124,and its gene regulatory network in human neurons,which has been revealed using a combined computational and experimental approach.
文摘The flight control system of a fly-by-wire （FBW） passenger airliner with a complex frame-work and high feedback gain augmentation would change the original characteristic of a loaded signal and suppress the excitation of an airplane＇s pertinent motion modes. Taking a research example of an FBW passenger airliner model with longitudinal relaxed-static-stability, a new method of signal type selection and signal parameter design is proposed, through analysis of signal energy distribution and plane body＇s frequency response. According to CCAR60--the Appraisal and Use Regulation of Flight Simulator Device, the simulation validation of the FBW passenger airliner＇s longitudinal aerodynamic parameters identification is put forward. The validation result indicates that the designed signal could excite the longitudinal motion mode of the FBW passenger airliner adequately and the multiparameter comparison in simulation meets the objective test request of CCAR60. Meanwhile, the relative errors of aerodynamic parameters are less than 10%.
文摘A normal phase enantioselective high performance liquid chromatographic method was developed for enantiomeric resolution of Ezetimibe it reduces the overall delivery of cholesterol to the liver. The enantiomers of Ezetimibe were resolved on a Chiral Pak AS-H (250 × 4.6 mm, 5 μm) column using a mobile phase system containing n-Hexane, etha-nol, 2-Propanol and Trifloroacetic acid (84:12:4:0.1 v/v). The resolution between enantiomers was found to be more than 2.0. The limit of detection and limit of quantification of (R)-enantiomer were found to be 0.2 μg/mL and 0.5 μg/mL, respectively, for 10 μL injection volume. The sample solution and mobile phase were found to be stable for at least 48 h. The final optimized method was successfully applied to separate (R)-enantiomer from Ezetimibe and was proven to be reproducible and accurate for the quantitative determination of (R)-enantiomer in bulk drugs.
文摘This paper deals with the problem of piecewise auto regressive systems with exogenous input(PWARX) model identification based on clustering solution. This problem involves both the estimation of the parameters of the affine sub-models and the hyper planes defining the partitions of the state-input regression. The existing identification methods present three main drawbacks which limit its effectiveness. First, most of them may converge to local minima in the case of poor initializations because they are based on the optimization using nonlinear criteria. Second, they use simple and ineffective techniques to remove outliers. Third, most of them assume that the number of sub-models is known a priori. To overcome these drawbacks, we suggest the use of the density-based spatial clustering of applications with noise(DBSCAN) algorithm. The results presented in this paper illustrate the performance of our methods in comparison with the existing approach. An application of the developed approach to an olive oil esterification reactor is also proposed in order to validate the simulation results.
文摘This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.Based on the estimation theory,a synthetic error-index(SEI)criterion for the neural network models has been developed.By using the powerful training algorithm of recursive prediction error (RPE),two simulated non-linear systems are studied,and the results show that the synthetic error-index criterion can be used to verify the dynamic neural network models.Furthermore,the proposed technique is much simple in calculation than that of the effective correlation tests.Finally,some problems required by further study are discussed.
基金supported by the National Natural Science Foundation of China(50775028)the Ministry of Science and Technology of China for the 863 High-Tech Scheme(2007AA04Z418)
文摘In order to achieve prediction for vibration of rotating machinery, an accurate finite element （FE） model and an efficient parameter identification method of the rotor system are required. In this research, a test rig is used as a prototype of a rotor system to validate a novel parameter identification technique based on an FE model. Rotor shaft vibration at varying operating speeds is measured and correlated with the FE results. Firstly, the theories of the FE modelling and identification technique are introduced. Then disk unbalance parameter, stiffness and damping coefficients of the bearing supports on the test rig are identified. The calculated responses of the FE model with identified parameters are studied in comparison with the experimental results.
