In this paper,an intelligent control method applying on numerical virtual flight is proposed.The proposed algorithm is verified and evaluated by combining with the case of the basic finner projectile model and shows a...In this paper,an intelligent control method applying on numerical virtual flight is proposed.The proposed algorithm is verified and evaluated by combining with the case of the basic finner projectile model and shows a good application prospect.Firstly,a numerical virtual flight simulation model based on overlapping dynamic mesh technology is constructed.In order to verify the accuracy of the dynamic grid technology and the calculation of unsteady flow,a numerical simulation of the basic finner projectile without control is carried out.The simulation results are in good agreement with the experiment data which shows that the algorithm used in this paper can also be used in the design and evaluation of the intelligent controller in the numerical virtual flight simulation.Secondly,combined with the real-time control requirements of aerodynamic,attitude and displacement parameters of the projectile during the flight process,the numerical simulations of the basic finner projectile’s pitch channel are carried out under the traditional PID(Proportional-Integral-Derivative)control strategy and the intelligent PID control strategy respectively.The intelligent PID controller based on BP(Back Propagation)neural network can realize online learning and self-optimization of control parameters according to the acquired real-time flight parameters.Compared with the traditional PID controller,the concerned control variable overshoot,rise time,transition time and steady state error and other performance indicators have been greatly improved,and the higher the learning efficiency or the inertia coefficient,the faster the system,the larger the overshoot,and the smaller the stability error.The intelligent control method applying on numerical virtual flight is capable of solving the complicated unsteady motion and flow with the intelligent PID control strategy and has a strong promotion to engineering application.展开更多
Traditional data driven fault detection methods assume that the process operates in a single mode so that they cannot perform well in processes with multiple operating modes. To monitor multimode processes effectively...Traditional data driven fault detection methods assume that the process operates in a single mode so that they cannot perform well in processes with multiple operating modes. To monitor multimode processes effectively,this paper proposes a novel process monitoring scheme based on orthogonal nonnegative matrix factorization(ONMF) and hidden Markov model(HMM). The new clustering technique ONMF is employed to separate data from different process modes. The multiple HMMs for various operating modes lead to higher modeling accuracy.The proposed approach does not presume the distribution of data in each mode because the process uncertainty and dynamics can be well interpreted through the hidden Markov estimation. The HMM-based monitoring indication named negative log likelihood probability is utilized for fault detection. In order to assess the proposed monitoring strategy, a numerical example and the Tennessee Eastman process are used. The results demonstrate that this method provides efficient fault detection performance.展开更多
In this research, we processed the GPS and meteorological data from about 220 stations of Crustal Movement Observation Network of China(CMONOC) observed in 2014 and derived the Zenith Total Delay(ZTD) map in both spat...In this research, we processed the GPS and meteorological data from about 220 stations of Crustal Movement Observation Network of China(CMONOC) observed in 2014 and derived the Zenith Total Delay(ZTD) map in both spatial and temporal dimension. The results of ZTD have high accurate and reliable as IGS and all sites with varying locations show obvious variety characteristics of Chinese mainland. Meanwhile, the precipitable water vapor(PWV) correlation coefficients between GPS observation and upper air sounding is close to 1, and the comparison of GPS-derived PWV and observed PWV from meteorological sites indicating GPS observation data generated in CMONOC project applied to the weather forecast research is feasible. In addition, based on all stations covered the whole Chinese land area and using interpolation algorithms, we make contour plots of PWV distribution per hour. We observe obvious feature that the precipitable water in north and western area is less than south and east area all over this year. High latitudes area may be dry and low latitudes area is wet.展开更多
Following the M_(S)6.4 earthquake that occurred on May 21,2021 in Yangbi,Yunnan,China,the earthquake emergency response system(EERS)responded immediately.The real-time software delivered many seismic parameters that p...Following the M_(S)6.4 earthquake that occurred on May 21,2021 in Yangbi,Yunnan,China,the earthquake emergency response system(EERS)responded immediately.The real-time software delivered many seismic parameters that provided a preliminary assessment of the earthquake.The 24-hour on-duty staff and scientific researchers revised these parameters and produced more detailed reports to understand the cause of the earthquake and the potential damage,which provided valuable information for emergency rescue operations and earthquake situation assessment.Emergency personnel were dispatched immedia-tely to the earthquake site to observe the aftershocks,investigate the damage,and guide and assist in the relief efforts.This paper describes the EERS response to the Yangbi earthquake to demonstrate the characteristics of the system and discuss the potential for further improvement.展开更多
Bacillus subtilis plays an important role in fundamental and applied research,and it has been widely used as a cell factory for the production of enzymes,antimicrobial materials,and chemicals for agriculture,medicine,...Bacillus subtilis plays an important role in fundamental and applied research,and it has been widely used as a cell factory for the production of enzymes,antimicrobial materials,and chemicals for agriculture,medicine,and industry.However,genetic manipulation tools for B.subtilis have low efficiency.In this work,our goal was to develop a simple recombineering system for B.subtilis.We showed that genome editing can be achieved in B.subtiliis 1A751 through co-expression of YqaJ/YqaK,a native phage recombinase pair found in B.sub-tilis 168,and the competence master regulator ComK using a double-stranded DNA substrate with short ho-mology arms(100 bp)and a phosphorothioate modification at the 5′-end.Efficient gene knockouts and large DNA insertions were achieved using this new recombineering system in B.subtilis 1A751.As far as we know,this is the first recombineering system using the native phage recombinase pair YqaJ/YqaK in B.subtilis.In conclusion,this new recombineering system provides a simple and fast tool for genetic manipulation of B.sub-tilis,and it will promote studies of genome function,construction of production strains,and genome mining in B.subtilis.展开更多
The outbreak of coronavirus disease 2019(COVID-19)caused by the new virus SARS-CoV-2 has been announced as a public health emergency of international concern.1–3 The clinical features of patients with COVID-19 range ...The outbreak of coronavirus disease 2019(COVID-19)caused by the new virus SARS-CoV-2 has been announced as a public health emergency of international concern.1–3 The clinical features of patients with COVID-19 range from common fever and cough to other rare symptoms,such as diarrhea and nausea.This disease can progress quickly,and 2–3%of patients die within a short time,which is generally due to multiple organ failure.4–7 Clinically,COVID-19 patients are classified into mild,moderate,severe,and critical cases.5–7 The immune response against SARS-CoV-2 is probably linked to the severity of disease.Recently,Zheng et al.8 showed that elevated levels of T-cell exhaustion and reduced functional diversity of T cells in peripheral blood may predict severe progression in COVID-19 patients;however,a more comprehensive understanding of the pathology of SARS-CoV-2 infection remains to be delineated.Here,we profiled immune cellular components using mass cytometry(CyTOF)to analyze the peripheral blood mononuclear cells(PBMCs)from patients with differences in disease progression by comparing with the PBMCs from healthy donors(HDs).展开更多
To the Editor:Autoimmune hepatitis(AIH)is a type of liver parenchymal inflammation mediated by the autoimmune response of liver cells.AIH was previously considered to be a chronic liver disease,but recent observers ha...To the Editor:Autoimmune hepatitis(AIH)is a type of liver parenchymal inflammation mediated by the autoimmune response of liver cells.AIH was previously considered to be a chronic liver disease,but recent observers have confirmed that AIH patients can have acute onset or even liver failure(AIH-LF).[1]The incidence of AIH-LF has also increased.Once LF occurs,the mortality rate within 90 days could reach>40%.[2]Therefore,the occurrence of LF has a major impact on the prognosis of AIH.Although AIH-LF has a low incidence and a high mortality rate,some cases can still be cured by treatment.The clinical characteristics that may affect the prognosis of patients with AIH-LF are still unclear.To clarify the factors affecting the prognosis of AIH-LF,we compared the clinical characteristics of two groups of AIH-LF patients with different prognosis.展开更多
文摘In this paper,an intelligent control method applying on numerical virtual flight is proposed.The proposed algorithm is verified and evaluated by combining with the case of the basic finner projectile model and shows a good application prospect.Firstly,a numerical virtual flight simulation model based on overlapping dynamic mesh technology is constructed.In order to verify the accuracy of the dynamic grid technology and the calculation of unsteady flow,a numerical simulation of the basic finner projectile without control is carried out.The simulation results are in good agreement with the experiment data which shows that the algorithm used in this paper can also be used in the design and evaluation of the intelligent controller in the numerical virtual flight simulation.Secondly,combined with the real-time control requirements of aerodynamic,attitude and displacement parameters of the projectile during the flight process,the numerical simulations of the basic finner projectile’s pitch channel are carried out under the traditional PID(Proportional-Integral-Derivative)control strategy and the intelligent PID control strategy respectively.The intelligent PID controller based on BP(Back Propagation)neural network can realize online learning and self-optimization of control parameters according to the acquired real-time flight parameters.Compared with the traditional PID controller,the concerned control variable overshoot,rise time,transition time and steady state error and other performance indicators have been greatly improved,and the higher the learning efficiency or the inertia coefficient,the faster the system,the larger the overshoot,and the smaller the stability error.The intelligent control method applying on numerical virtual flight is capable of solving the complicated unsteady motion and flow with the intelligent PID control strategy and has a strong promotion to engineering application.
基金Supported by the National Natural Science Foundation of China(61374140,61403072)
文摘Traditional data driven fault detection methods assume that the process operates in a single mode so that they cannot perform well in processes with multiple operating modes. To monitor multimode processes effectively,this paper proposes a novel process monitoring scheme based on orthogonal nonnegative matrix factorization(ONMF) and hidden Markov model(HMM). The new clustering technique ONMF is employed to separate data from different process modes. The multiple HMMs for various operating modes lead to higher modeling accuracy.The proposed approach does not presume the distribution of data in each mode because the process uncertainty and dynamics can be well interpreted through the hidden Markov estimation. The HMM-based monitoring indication named negative log likelihood probability is utilized for fault detection. In order to assess the proposed monitoring strategy, a numerical example and the Tennessee Eastman process are used. The results demonstrate that this method provides efficient fault detection performance.
文摘In this research, we processed the GPS and meteorological data from about 220 stations of Crustal Movement Observation Network of China(CMONOC) observed in 2014 and derived the Zenith Total Delay(ZTD) map in both spatial and temporal dimension. The results of ZTD have high accurate and reliable as IGS and all sites with varying locations show obvious variety characteristics of Chinese mainland. Meanwhile, the precipitable water vapor(PWV) correlation coefficients between GPS observation and upper air sounding is close to 1, and the comparison of GPS-derived PWV and observed PWV from meteorological sites indicating GPS observation data generated in CMONOC project applied to the weather forecast research is feasible. In addition, based on all stations covered the whole Chinese land area and using interpolation algorithms, we make contour plots of PWV distribution per hour. We observe obvious feature that the precipitable water in north and western area is less than south and east area all over this year. High latitudes area may be dry and low latitudes area is wet.
文摘Following the M_(S)6.4 earthquake that occurred on May 21,2021 in Yangbi,Yunnan,China,the earthquake emergency response system(EERS)responded immediately.The real-time software delivered many seismic parameters that provided a preliminary assessment of the earthquake.The 24-hour on-duty staff and scientific researchers revised these parameters and produced more detailed reports to understand the cause of the earthquake and the potential damage,which provided valuable information for emergency rescue operations and earthquake situation assessment.Emergency personnel were dispatched immedia-tely to the earthquake site to observe the aftershocks,investigate the damage,and guide and assist in the relief efforts.This paper describes the EERS response to the Yangbi earthquake to demonstrate the characteristics of the system and discuss the potential for further improvement.
基金supported by the National Key R&D Program of China(2019YFA0904000)the National Natural Science Foundation of China(31570094,81502962,32270088)+6 种基金the 111 Project(B16030)the Shan-dong Provincial Natural Science Foundation of China(ZR2020MC015,ZR2018ZC2261)the Taishan Scholar Program of Shandong Provincethe Fundamental Research Funds of Shandong University(2018GN021)the Open Project Program of the State Key Laboratory of Bio-based Material and Green Papermaking(KF201825)the Science and Technology Project of Hunan Province(2021NK1040)Natural Science Foundation of Changsha(KQ2208130).
文摘Bacillus subtilis plays an important role in fundamental and applied research,and it has been widely used as a cell factory for the production of enzymes,antimicrobial materials,and chemicals for agriculture,medicine,and industry.However,genetic manipulation tools for B.subtilis have low efficiency.In this work,our goal was to develop a simple recombineering system for B.subtilis.We showed that genome editing can be achieved in B.subtiliis 1A751 through co-expression of YqaJ/YqaK,a native phage recombinase pair found in B.sub-tilis 168,and the competence master regulator ComK using a double-stranded DNA substrate with short ho-mology arms(100 bp)and a phosphorothioate modification at the 5′-end.Efficient gene knockouts and large DNA insertions were achieved using this new recombineering system in B.subtilis 1A751.As far as we know,this is the first recombineering system using the native phage recombinase pair YqaJ/YqaK in B.subtilis.In conclusion,this new recombineering system provides a simple and fast tool for genetic manipulation of B.sub-tilis,and it will promote studies of genome function,construction of production strains,and genome mining in B.subtilis.
基金supported by the COVID-19 Key Technology Research and Development Funding of Beijing Hospital Authority,the National Natural Science Foundation of China(NSFC,81772165 and 81974303)the National 13th Five-Year Grand Program on Key Infectious Disease Control(2017ZX10202102-005-003)。
文摘The outbreak of coronavirus disease 2019(COVID-19)caused by the new virus SARS-CoV-2 has been announced as a public health emergency of international concern.1–3 The clinical features of patients with COVID-19 range from common fever and cough to other rare symptoms,such as diarrhea and nausea.This disease can progress quickly,and 2–3%of patients die within a short time,which is generally due to multiple organ failure.4–7 Clinically,COVID-19 patients are classified into mild,moderate,severe,and critical cases.5–7 The immune response against SARS-CoV-2 is probably linked to the severity of disease.Recently,Zheng et al.8 showed that elevated levels of T-cell exhaustion and reduced functional diversity of T cells in peripheral blood may predict severe progression in COVID-19 patients;however,a more comprehensive understanding of the pathology of SARS-CoV-2 infection remains to be delineated.Here,we profiled immune cellular components using mass cytometry(CyTOF)to analyze the peripheral blood mononuclear cells(PBMCs)from patients with differences in disease progression by comparing with the PBMCs from healthy donors(HDs).
基金supported by grants from the National Key R&D Program of China(No.2017YFA0103000)the National Science and Technology Key Project on"Major Infectious Diseases such as HIV/AIDS,Viral Hepatitis Prevention and Treatment"(Nos.2012ZX10002004-006,2017ZX10203201-005,2017ZX10201201-001-001,2017ZX10201201-002-002,2017ZX10201201-004-002,2017ZX10202203-006-001,2017ZX10302201-004-002)+3 种基金the"Beijing Municipal Administration of Hospitals"Ascent Plan(No.DFL20151601)the Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support(No.ZYLX201806)the Science and Technology Innovation Service Capacity Building-high-precision Discipline Construction Project(No.11920703)the Open research project of Key Laboratory of Capital Medical University(No.BJYAHKF2017008)。
文摘To the Editor:Autoimmune hepatitis(AIH)is a type of liver parenchymal inflammation mediated by the autoimmune response of liver cells.AIH was previously considered to be a chronic liver disease,but recent observers have confirmed that AIH patients can have acute onset or even liver failure(AIH-LF).[1]The incidence of AIH-LF has also increased.Once LF occurs,the mortality rate within 90 days could reach>40%.[2]Therefore,the occurrence of LF has a major impact on the prognosis of AIH.Although AIH-LF has a low incidence and a high mortality rate,some cases can still be cured by treatment.The clinical characteristics that may affect the prognosis of patients with AIH-LF are still unclear.To clarify the factors affecting the prognosis of AIH-LF,we compared the clinical characteristics of two groups of AIH-LF patients with different prognosis.
