Dear editor,This letter presents a practical industrial process identification scheme.More specifically,to improve the identification accuracy of practical process,a decoupled identification scheme is developed based ...Dear editor,This letter presents a practical industrial process identification scheme.More specifically,to improve the identification accuracy of practical process,a decoupled identification scheme is developed based on neural fuzzy network and autoregressive exogenous(ARX)model,which is based on multi-signal sources.The multiple signal sources include binary signals and random signals.Experimental results of pH neutralization process show that developed identification scheme can provide accurate identification accuracy.展开更多
Purification of oil droplets is crucial for enhancing air quality in machining plants.However,the small particle size and high purification resistance of oil droplets present challenges.Electricity agglomeration pretr...Purification of oil droplets is crucial for enhancing air quality in machining plants.However,the small particle size and high purification resistance of oil droplets present challenges.Electricity agglomeration pretreatment technology,which leverages strong inter-particle forces,improves the purification efficiency of small particles without increasing the resistance of purification equipment,showing significant application potential.This study numerically investigates the effectiveness of electricity agglomeration influenced by physical parameters(surface tension,droplet diameter)and collision parameters(collision velocity,collision angle)of oil droplets.Results indicate that surface tension and collision velocity are critical factors.When surface tension exceeds 20 mN/m,oil droplets are more likely to agglomerate upon collision.Additionally,increasing collision velocity leads to progressive destabilization of oil droplets.The critical velocities for agglomeration-separation and separation-fragmentation are identified as 8 m/s and 16 m/s,respectively.A Weber number(We)–collision angle map was constructed to represent the collision behaviors of oil droplets,revealing that at We<14.4,oil droplets agglomerate effectively after collision at any angle.This value is twice that of water droplets,indicating that oil droplets are more prone to agglomeration upon collision.These findings provide valuable insights for optimizing parameters in electrical agglomeration processes.展开更多
A novel separation identification strategy for the neural fuzzy Wiener–Hammerstein system using hybrid signals is developed in this study.The Wiener–Hammerstein system is described by a model consisting of two linea...A novel separation identification strategy for the neural fuzzy Wiener–Hammerstein system using hybrid signals is developed in this study.The Wiener–Hammerstein system is described by a model consisting of two linear dynamic elements with a nonlinear static element in between.The static nonlinear element is modeled by a neural fuzzy network(NFN)and the two linear dynamic elements are modeled by an autoregressive exogenous(ARX)model and an autoregressive(AR)model,separately.When the system input is Gaussian signals,the correlation technique is used to decouple the identification of the two linear dynamic elements from the nonlinear element.First,based on the input and output of Gaussian signals,the correlation analysis technique is used to identify the input linear element and output linear element,which addresses the problem that the intermediate variable information cannot be measured in the identified Wiener–Hammerstein system.Then,a zero-pole match method is adopted to separate the parameters of the two linear elements.Furthermore,the recursive least-squares technique is used to identify the nonlinear element based on the input and output of random signals,which avoids the impact of output noise.The feasibility of the presented identification technique is demonstrated by an illustrative simulation example and a practical nonlinear process.Simulation results show that the proposed strategy can obtain higher identification precision than existing identification algorithms.展开更多
This paper discusses a strategy for estimating Hammerstein nonlinear systems in the presence of measurement noises for industrial control by applying filtering and recursive approaches.The proposed Hammerstein nonline...This paper discusses a strategy for estimating Hammerstein nonlinear systems in the presence of measurement noises for industrial control by applying filtering and recursive approaches.The proposed Hammerstein nonlinear systems are made up of a neural fuzzy network(NFN)and a linear state`-space model.The estimation of parameters for Hammerstein systems can be achieved by employing hybrid signals,which consist of step signals and random signals.First,based on the characteristic that step signals do not excite static nonlinear systems,that is,the intermediate variable of the Hammerstein system is a step signal with different amplitudes from the input,the unknown intermediate variables can be replaced by inputs,solving the problem of unmeasurable intermediate variable information.In the presence of step signals,the parameters of the state-space model are estimated using the recursive extended least squares(RELS)algorithm.Moreover,to effectively deal with the interference of measurement noises,a data filtering technique is introduced,and the filtering-based RELS is formulated for estimating the NFN by employing random signals.Finally,according to the structure of the Hammerstein system,the control system is designed by eliminating the nonlinear block so that the generated system is approximately equivalent to a linear system,and it can then be easily controlled by applying a linear controller.The effectiveness and feasibility of the developed identification and control strategy are demonstrated using two industrial simulation cases.展开更多
Accurate and sensitive near-infrared(NIR)luminescent lateralflow immunoassay(LFIA)has attracted considerable attention in thefield of point-of-care testing(POCT).However,the detection accuracy and sensitivity are ofte...Accurate and sensitive near-infrared(NIR)luminescent lateralflow immunoassay(LFIA)has attracted considerable attention in thefield of point-of-care testing(POCT).However,the detection accuracy and sensitivity are often compromised by the lowfluorescence quantum efficiency of the NIRfluorescent probe.(<10%)Herein,ultrabright NIR AIEgen nanoparticles(PS@AIE830NPs)composed of polystyrene(PS)nanoparticles and NIR aggregation-induced emission luminogen(AIEgen)with the maximum emission at 830 nm(AIE830)is reported,and its poten-tial to promote an accurate and sensitive detection of complex samples by LFIA is described.The relative quantum yield(QY)of the PS@AIE830NPs was 14.76%,which was superior to that of the polymer embedding method and indocyanine green(ICG)-based NIR nanoparticles.The PS@AIE830NPs immunolabeled-LFIA com-bined with laboratory-built NIR-LFIA portable quantitative instruments(detected light range 800 nm)completely eliminated background interference and allowed>highly accurate and sensitive detection without any pre-treatment steps.The limits of detection(LODs)for aflatoxin B1(AFB1)in soy sauce,alpha hemolysin(Hla)of Staphylococcus aureus biomarker in jointfluid,and C-reactive protein(CRP)in human haemolysed samples were 0.01 ng mL^(-1),0.02µg mL^(-1),and 0.156 mg L^(-1),respectively,commensurating with those of the corresponding gold standard assays and covering the detection range of interests.It is anticipated that the ultrabright NIR AIEgen nanoparticles will serve as a universally applicable signal probe for NIR-LFIA diagnostics,promising to expand the range of applications for quantitative detection of complex samples.展开更多
Vogt–Koyanagi–Harada(VKH)disease is a leading cause of blindness in young and middle-aged people.However,the etiology of VKH disease remains unclear.Here,we performed the first trio-based whole-exome sequencing stud...Vogt–Koyanagi–Harada(VKH)disease is a leading cause of blindness in young and middle-aged people.However,the etiology of VKH disease remains unclear.Here,we performed the first trio-based whole-exome sequencing study,which enrolled 25 VKH patients and 50 controls,followed by a study of 2081 VKH patients from a Han Chinese population to uncover detrimental mutations.A total of 15 de novo mutations in VKH patients were identified,with one of the most important being the membrane palmitoylated protein 2(MPP2)p.K315N(MPP2-N315)mutation.The MPP2-N315 mutation was highly deleterious according to bioinformatic predictions.Additionally,this mutation appears rare,being absent from the 1000 Genome Project and Genome Aggregation Database,and it is highly conserved in 10 species,including humans and mice.Subsequent studies showed that pathological phenotypes and retinal vascular leakage were aggravated in MPP2-N315 mutation knock-in or MPP2-N315 adeno-associated virus-treated mice with experimental autoimmune uveitis(EAU).In vitro,we used clustered regularly interspaced short palindromic repeats(CRISPR‒Cas9)gene editing technology to delete intrinsic MPP2 before overexpressing wild-type MPP2 or MPP2-N315.Levels of cytokines,such as IL-1β,IL-17E,and vascular endothelial growth factor A,were increased,and barrier function was destroyed in the MPP2-N315 mutant ARPE19 cells.Mechanistically,the MPP2-N315 mutation had a stronger ability to directly bind to ANXA2 than MPP2-K315,as shown by LC‒MS/MS and Co-IP,and resulted in activation of the ERK3/IL-17E pathway.Overall,our results demonstrated that the MPP2-K315N mutation may increase susceptibility to VKH disease.展开更多
基金the National Natural Science Foundation of China(62003151)the Natural Science Foundation of Jiangsu Province(BK20191035)the Changzhou Sci&Tech Program(CJ20220065)。
文摘Dear editor,This letter presents a practical industrial process identification scheme.More specifically,to improve the identification accuracy of practical process,a decoupled identification scheme is developed based on neural fuzzy network and autoregressive exogenous(ARX)model,which is based on multi-signal sources.The multiple signal sources include binary signals and random signals.Experimental results of pH neutralization process show that developed identification scheme can provide accurate identification accuracy.
基金sponsored by the Natural Science Basic Research Program of Shaanxi(No.2024JC-YBMS-421)the National Natural Science Foundation of China(52378110).
文摘Purification of oil droplets is crucial for enhancing air quality in machining plants.However,the small particle size and high purification resistance of oil droplets present challenges.Electricity agglomeration pretreatment technology,which leverages strong inter-particle forces,improves the purification efficiency of small particles without increasing the resistance of purification equipment,showing significant application potential.This study numerically investigates the effectiveness of electricity agglomeration influenced by physical parameters(surface tension,droplet diameter)and collision parameters(collision velocity,collision angle)of oil droplets.Results indicate that surface tension and collision velocity are critical factors.When surface tension exceeds 20 mN/m,oil droplets are more likely to agglomerate upon collision.Additionally,increasing collision velocity leads to progressive destabilization of oil droplets.The critical velocities for agglomeration-separation and separation-fragmentation are identified as 8 m/s and 16 m/s,respectively.A Weber number(We)–collision angle map was constructed to represent the collision behaviors of oil droplets,revealing that at We<14.4,oil droplets agglomerate effectively after collision at any angle.This value is twice that of water droplets,indicating that oil droplets are more prone to agglomeration upon collision.These findings provide valuable insights for optimizing parameters in electrical agglomeration processes.
基金Project supported by the National Natural Science Foundation of China(No.62003151)the Changzhou Science and Technology Bureau(Nos.CJ20220065 and CM20223015)+1 种基金the Qinglan Project of Jiangsu Province,China(No.2022[29])the Zhongwu Youth Innovative Talents Support Program of Jiangsu University of Technology,China(No.202102003)。
文摘A novel separation identification strategy for the neural fuzzy Wiener–Hammerstein system using hybrid signals is developed in this study.The Wiener–Hammerstein system is described by a model consisting of two linear dynamic elements with a nonlinear static element in between.The static nonlinear element is modeled by a neural fuzzy network(NFN)and the two linear dynamic elements are modeled by an autoregressive exogenous(ARX)model and an autoregressive(AR)model,separately.When the system input is Gaussian signals,the correlation technique is used to decouple the identification of the two linear dynamic elements from the nonlinear element.First,based on the input and output of Gaussian signals,the correlation analysis technique is used to identify the input linear element and output linear element,which addresses the problem that the intermediate variable information cannot be measured in the identified Wiener–Hammerstein system.Then,a zero-pole match method is adopted to separate the parameters of the two linear elements.Furthermore,the recursive least-squares technique is used to identify the nonlinear element based on the input and output of random signals,which avoids the impact of output noise.The feasibility of the presented identification technique is demonstrated by an illustrative simulation example and a practical nonlinear process.Simulation results show that the proposed strategy can obtain higher identification precision than existing identification algorithms.
基金Project supported by the National Natural Science Foundation of China(No.62003151)the Changzhou Science and Technology Bureau,China(No.CJ20220065)+1 种基金the Qinglan Project of Jiangsu Province,China(No.2022[29])the Zhongwu Youth Innovative Talents Support Program of Jiangsu University of Technology,China(No.202102003)。
文摘This paper discusses a strategy for estimating Hammerstein nonlinear systems in the presence of measurement noises for industrial control by applying filtering and recursive approaches.The proposed Hammerstein nonlinear systems are made up of a neural fuzzy network(NFN)and a linear state`-space model.The estimation of parameters for Hammerstein systems can be achieved by employing hybrid signals,which consist of step signals and random signals.First,based on the characteristic that step signals do not excite static nonlinear systems,that is,the intermediate variable of the Hammerstein system is a step signal with different amplitudes from the input,the unknown intermediate variables can be replaced by inputs,solving the problem of unmeasurable intermediate variable information.In the presence of step signals,the parameters of the state-space model are estimated using the recursive extended least squares(RELS)algorithm.Moreover,to effectively deal with the interference of measurement noises,a data filtering technique is introduced,and the filtering-based RELS is formulated for estimating the NFN by employing random signals.Finally,according to the structure of the Hammerstein system,the control system is designed by eliminating the nonlinear block so that the generated system is approximately equivalent to a linear system,and it can then be easily controlled by applying a linear controller.The effectiveness and feasibility of the developed identification and control strategy are demonstrated using two industrial simulation cases.
基金National Natural Science Foundation of China,Grant/Award Numbers:82202642,82302646,32172296Chongqing Postdoctoral Innovation Talent Support Program,Grant/Award Number:CQBX202218+8 种基金China Postdoctoral Science Foundation,Grant/Award Numbers:2022M710558,2023T160771Special foundation of Chongqing Postdoctoral Research Programme,Grant/Award Number:2021XM2036Talent Training Foundation of Key Laboratory of Clinical Laboratory Diagnostics(Ministry of Education)of College of Laboratory Medicine,Grant/Award Number:JYPY202202Chongqing Postdoctoral Science Foundation,Grant/Award Number:CSTB2022NSCQ-BHX0689National Natural Science Foundation Key Program,Grant/Award Numbers:82230032,81930023Key Project of Chongqing Science and Technology Bureau,Grant/Award Number:CSTC2021jscx-gksb-N0010Chongqing Outstanding Scientists Project(2019)Chongqing Chief Medical Scientist Project(2018)Chongqing Science and Technology Bureau Mountaineering Project,Grant/Award Numbers:cyyy-xkdfjh-jcyj-202301,cyyy-xkdfjh-lcyj-202303,cyyy-xkdfjh-cgzh-202302。
文摘Accurate and sensitive near-infrared(NIR)luminescent lateralflow immunoassay(LFIA)has attracted considerable attention in thefield of point-of-care testing(POCT).However,the detection accuracy and sensitivity are often compromised by the lowfluorescence quantum efficiency of the NIRfluorescent probe.(<10%)Herein,ultrabright NIR AIEgen nanoparticles(PS@AIE830NPs)composed of polystyrene(PS)nanoparticles and NIR aggregation-induced emission luminogen(AIEgen)with the maximum emission at 830 nm(AIE830)is reported,and its poten-tial to promote an accurate and sensitive detection of complex samples by LFIA is described.The relative quantum yield(QY)of the PS@AIE830NPs was 14.76%,which was superior to that of the polymer embedding method and indocyanine green(ICG)-based NIR nanoparticles.The PS@AIE830NPs immunolabeled-LFIA com-bined with laboratory-built NIR-LFIA portable quantitative instruments(detected light range 800 nm)completely eliminated background interference and allowed>highly accurate and sensitive detection without any pre-treatment steps.The limits of detection(LODs)for aflatoxin B1(AFB1)in soy sauce,alpha hemolysin(Hla)of Staphylococcus aureus biomarker in jointfluid,and C-reactive protein(CRP)in human haemolysed samples were 0.01 ng mL^(-1),0.02µg mL^(-1),and 0.156 mg L^(-1),respectively,commensurating with those of the corresponding gold standard assays and covering the detection range of interests.It is anticipated that the ultrabright NIR AIEgen nanoparticles will serve as a universally applicable signal probe for NIR-LFIA diagnostics,promising to expand the range of applications for quantitative detection of complex samples.
基金We thank the families for participation in this study,and we thank Novogene Technology Co.,Ltd.,for the WES sequencing and analysis.This work was supported by the National Natural Science Foundation Project of China(82070951,82271078)the National Natural Science Foundation Key Program(81930023)+3 种基金The Innovative Research Group Project of Chongqing Education Commission(CXQT19015)the Innovation Supporting Plan of Overseas Study of Chongqing(cx2018010)the National Key Clinical Specialties Construction Program of China,the Chongqing Branch of the National Clinical Research Center for Ocular Diseases,the Chongqing Key Laboratory of Ophthalmology(CSTC,2008CA5003)the Program for Youth Innovation in Future Medicine,Chongqing Medical University(w0047).
文摘Vogt–Koyanagi–Harada(VKH)disease is a leading cause of blindness in young and middle-aged people.However,the etiology of VKH disease remains unclear.Here,we performed the first trio-based whole-exome sequencing study,which enrolled 25 VKH patients and 50 controls,followed by a study of 2081 VKH patients from a Han Chinese population to uncover detrimental mutations.A total of 15 de novo mutations in VKH patients were identified,with one of the most important being the membrane palmitoylated protein 2(MPP2)p.K315N(MPP2-N315)mutation.The MPP2-N315 mutation was highly deleterious according to bioinformatic predictions.Additionally,this mutation appears rare,being absent from the 1000 Genome Project and Genome Aggregation Database,and it is highly conserved in 10 species,including humans and mice.Subsequent studies showed that pathological phenotypes and retinal vascular leakage were aggravated in MPP2-N315 mutation knock-in or MPP2-N315 adeno-associated virus-treated mice with experimental autoimmune uveitis(EAU).In vitro,we used clustered regularly interspaced short palindromic repeats(CRISPR‒Cas9)gene editing technology to delete intrinsic MPP2 before overexpressing wild-type MPP2 or MPP2-N315.Levels of cytokines,such as IL-1β,IL-17E,and vascular endothelial growth factor A,were increased,and barrier function was destroyed in the MPP2-N315 mutant ARPE19 cells.Mechanistically,the MPP2-N315 mutation had a stronger ability to directly bind to ANXA2 than MPP2-K315,as shown by LC‒MS/MS and Co-IP,and resulted in activation of the ERK3/IL-17E pathway.Overall,our results demonstrated that the MPP2-K315N mutation may increase susceptibility to VKH disease.
