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Genes & Diseases 2024年第3期11卷 98-101页

作者： Zishuai Wang Yilong Yao Xinhua Hou Danyang Fan yanwen liu Adeyinka Abiola Adetula Yalan Yang kui Li Zhonglin Tang Shenzhen Branch Guangdong Laboratory for Lingnan Modern AgricultureAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhenGuangdong518000China Kunpeng Institute of Modern Agriculiture at Foshan Chinese Academy of Agricultural SciencesFoshanGuangdong528226China GuangXi Engineering Centre for Resource Development of Bama Xiang Pig BamaGuangxi 547500China Institute of Animal Science Chinese Academy of Agricultural SciencesBeijing100193China

Aerobic exercise training alters gene expression in skeletal muscle,and miRNAs significantly contribute to motion response.However,the molecular mechanisms by which miRNAs regulate the response to exercise training are not well understood.Here,we found that the abundance of miR-378a-3p in skeletal muscle significantly decreased after exercise training.miR-378a-3p knockout mice showed increased insulin sensitivity,insulin-mediated glucose uptake.

关键词： skeletal miR uptake

Double-blinded,randomized clinical trial of Gegen Qinlian decoction pinpoints Faecalibacterium as key gut bacteria in alleviating hyperglycemia

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Precision Clinical Medicine 2024年第1期7卷 21-33页

作者： Zezheng Gao Wenhui Zhang Lisha He Han Wang Yufei Li Xiaotian Jiang Sha DI Xinmiao Wang Xuan Zhang Lin Han yanwen liu Chengjuan Gu Mengyi Wu Xinhui He Lei Cheng Jun Wang Xiaolin Tong Linhua Zhao Institute of Metabolic Diseases Guang'anmen HospitalChina Academy of Chinese Medical SciencesBeijing 100053China Department of Endocrinology Guang anmen HospitalChina Academy of Chinese Medical SciencesBeijing 100053China CAS Key Laboratory of Pathogenic Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China Chengdu University of Traditional Chinese Medicine Chengdu 611137China School of Chinese Materia Medica Beijing University of Chinese MedicineBeijing 100029China Centre for Evidence-Based Chinese Medicine Beijing University of Chinese MedicineBeijing 100029China Department of Endocrinology Affiliated Hospital of Changchun University of Chinese MedicineChangchun 13000oChina Biologicals Science and Technology Institute Baotou Teacher's CollegeBaotou 014030China Department of Endocrinology Zhengzhou T.C.M.HospitalZhengzhou 450007China Shenzhen Hospital Guangzhou University of Chinese Medicine(Futian)Shenzhen 518000China Department of Cardiology Guangdong Provincial Hospital of Chinese MedicineGuangzhou 510120China Department of Cardiology Yunnan Provincial Hospital of Traditional Chinese MedicineKunming 650000China Key Laboratory of Development and Application of Rural Renewable Energy Biogas Institute of Ministry of Agriculture and Rural AffairsChengdu 610041China

Background:Accumulating evidence suggests that metabolic disorders,including type 2 diabetes mellitus(T2DM),can be treated with traditional Chinese medicine formulas,such as the Gegen Qinlian decoction(GQD).This study elucidates the mechanisms by which gut microbes mediate the anti-diabetic effects of GQD.Methods:We conducted a double-blind randomized clinical trial involving 120 untreated participants with T2DM.During the 12-week intervention,anthropometric measurements and diabetic traits were recorded every 4 weeks.Fecal microbiota and serum metabolites were measured before and after the intervention using 16S rDNA sequencing,liquid chromatography-mass spectrometry,and Bio-Plex panels.Results:Anti-diabetic effects were observed in the GQD group in the human trial.Specifically,glycated hemoglobin,fasting plasma glucose,and two-hour postprandial blood glucose levels were significantly lower in the GQD group than in the placebo group.Additionally,Faecalibacterium was significantly enriched in the GQD group,and the short-chain fatty acid levels were higher and the serum inflammation-associated marker levels were lower in the GQD group compared to the placebo group.Moreover,Faecalibacterium abundance negatively correlated with the levels of serum hemoglobin,fasting plasma glucose,and pro-inflammatory cytokines.Finally,the diabetes-alleviating effect of Faecalibacterium was confirmed by oral administration of Faecalibacterium prausnitzi(DSMZ 17677)in T2DMmousemodel.Conclusions:GQD improved type 2 diabetes primarily by modulating the abundance of Faecalibacterium in the gut microbiota,alleviating metabolic disorders and the inflammatory state.

关键词： double-blinded randomized controlled trial type 2 diabetes mellitus Gegen Qinlian decoction Faecalibacterium metabolic disorders inflammation

Automatic modulation recognition of radiation source signals based on two-dimensional data matrix and improved residual neural network

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Defence Technology（防务技术） 2024年第3期33卷 364-373页

作者： Guanghua Yi Xinhong Hao Xiaopeng Yan Jian Dai Yangtian liu yanwen Han Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical EngineeringBeijing Institute of TechnologyBeijing 100081China BIT Tangshan Research Institute Beijing 100081China

Automatic modulation recognition(AMR)of radiation source signals is a research focus in the field of cognitive radio.However,the AMR of radiation source signals at low SNRs still faces a great challenge.Therefore,the AMR method of radiation source signals based on two-dimensional data matrix and improved residual neural network is proposed in this paper.First,the time series of the radiation source signals are reconstructed into two-dimensional data matrix,which greatly simplifies the signal preprocessing process.Second,the depthwise convolution and large-size convolutional kernels based residual neural network(DLRNet)is proposed to improve the feature extraction capability of the AMR model.Finally,the model performs feature extraction and classification on the two-dimensional data matrix to obtain the recognition vector that represents the signal modulation type.Theoretical analysis and simulation results show that the AMR method based on two-dimensional data matrix and improved residual network can significantly improve the accuracy of the AMR method.The recognition accuracy of the proposed method maintains a high level greater than 90% even at -14 dB SNR.

关键词： Automatic modulation recognition Radiation source signals Two-dimensional data matrix Residual neural network Depthwise convolution

Research Development on Fish Swimming

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Chinese Journal of Mechanical Engineering 2022年第5期35卷 17-37页

作者： yanwen liu Hongzhou Jiang School of Mechatronics Engineering Harbin Institute of TechnologyHarbin 150001China

Fishes have learned how to achieve outstanding swimming performance through the evolution of hundreds of millions of years,which can provide bio-inspiration for robotic fish design.The premise of designing an excellent robotic fish include fully understanding of fish locomotion mechanism and grasp of the advanced control strategy in robot domain.In this paper,the research development on fish swimming is presented,aiming to offer a reference for the later research.First,the research methods including experimental methods and simulation methods are detailed.Then the current research directions including fish locomotion mechanism,structure and function research and bionic robotic fish are outlined.Fish locomotion mechanism is discussed from three views:macroscopic view to find a unified principle,microscopic view to include muscle activity and intermediate view to study the behaviors of single fish and fish school.Structure and function research is mainly concentrated from three aspects:fin research,lateral line system and body stiffness.Bionic robotic fish research focuses on actuation,materials and motion control.The paper concludes with the future trend that curvature control,machine learning and multiple robotic fish system will play a more important role in this field.Overall,the intensive and comprehensive research on fish swimming will decrease the gap between robotic fish and real fish and contribute to the broad application prospect of robotic fish.

关键词： Fish swimming Kinematics optimization Motion control Bionic robotic fish Fish locomotion mechanism

Metal–organic compounds as promising anode materials for potassium ion batteries: A mini review

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Energy Reviews 2024年第1期3卷 90-108页

作者： Jinquan Wen Qian liu Ling Bai Zhen-Dong Huang yanwen Ma State Key Laboratory for Organic Electronics and Information Displays&Jiangsu Key Laboratory for Biosensors Institute of Advanced Materials(IAM)Jiangsu National Synergetic Innovation Center for Advanced Materials(SICAM)Nanjing University of Posts and Telecommunications9 Wenyuan RoadNanjing 210023PR China

Potassium-ion batteries(PIBs)represent one of the most promising alternatives to lithium-ion batteries(LIBs),owing to their exceptional attributes such as high voltages,potent power capabilities,and cost-effectiveness.Nonetheless,challenges arise from the sluggish kinetics and significant volume expansion observed during the insertion/extraction of large-radii potassium ions,leading to subpar rate performance and considerable capacity degradation in potassium-ion batteries.Consequently,it becomes imperative to explore advanced anode materials exhibiting high electrochemical activity and robust structural stability.In this regard,the present review focuses on recent progress in metal-organic compounds(MOCs)as anode materials for potassium-ion batteries,systematically discussing their outstanding merits from the perspective of metal speciation.Additionally,the principal mechanism of K ion storage within relevant MOCs is presented.Furthermore,a comprehensive summary of existing drawbacks that hinder the broader application of MOCs-based materials is provided,along with proposed guidelines and strategies for addressing the inferior performance characteristics.This review serves to illuminate the development of MOCs-based anode materials for potassium-ion batteries and offers a valuable reference for future research endeavors.

关键词： Potassium ion batteries Anode materials Metal organic compounds Metals organic frameworks

Research on the Influence of Multiple Parameters on the Responses of a B-type Subway Train

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Chinese Journal of Mechanical Engineering 2022年第4期35卷 329-346页

作者： yanwen liu Bing Yang Shoune Xiao Tao Zhu Guangwu Yang Ruixian Xiu State Key Laboratory of Traction Power Southwest Jiaotong University Basic R&D Department National Railway Passenger Car Engineering Research CenterChangchun Railway Vehicles Co.Ltd College of Engineering Changchun Normal University

To obtain improved comprehensive crashworthiness criteria for a B-type subway train, the influence laws of the vehicle design collision weight M and empty stroke D on the train’s collision responses were investigated, and multiobjective optimization and decision-making were performed to minimize TS(total compression displacement along the moving train) and TAMA(the overall mean acceleration along the moving train). Firstly, a one-dimensional train collision dynamics model was established and verified by comparing with the results of the finite element model. Secondly, based on the dynamics model, the influence laws of M and D on the collision responses, such as the energy-absorbing devices’ displacements and absorbed energy, vehicles’ velocity and acceleration, TS, TAMA and the coupling correlation effect were investigated. Then, surrogate models for TS and TAMA were developed using the optimal Latin hypercube method(OLHD) and response surface method(RSM), and multi-objective optimization was conducted using the particle swarm optimization algorithm method(MPOSO). Finally, the entropy method was used to obtain the weight coefficients for TS and TAMA, and multi-objective decision-making was performed. The results indicate that D and M significantly affect the compression displacements and energy absorption of the first three collision interfaces, but have limited impact on the last three collision interfaces. The velocity versus time curves of vehicle M1 and M2 are shifted and parallel with different D. However, the velocity versus time curves of all the vehicles are shifted but gradually divergent with different M. The maximum collision instantaneous accelerations of the vehicles are directly determined by M, but are only slightly affected by D. Under the coupling effect, all concerned collision responses are strongly correlated with M; however, the responses are weakly correlated with D except for the compression displacement at the M2-M3 collision interface and the maximum collision instantaneous acceleration o

关键词： Train collision response Multi-body dynamics model Experiment design Surrogate model Multi-objective optimization Entropy method Multi-objective decision-making

A rigid-flexible coupling finite element model of coupler for analyzing train instability behavior during collision

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Railway Engineering Science 2023年第4期31卷 325-339页

作者： Jingke Zhang Tao Zhu Bing Yang Xiaorui Wang Shoune Xiao Guangwu Yang yanwen liu Quanwei Che State Key Laboratory of Traction Power Southwest Jiaotong UniversityChengdu 610031China Changchun Railway Vehicles Co. Ltd.Changchun 130062China CRRC Qingdao Sifang Co. Ltd.Qingdao 266111China

Rail vehicles generate huge longitudinal impact loads in collisions.If unreasonable matching exists between the compressive strength of the intermediate coupler and the structural strength of the car body,the risk of car body structure damage and train derailment will increase.Herein,a four-stage rigid-flexible coupling finite element model of the coupler is established considering the coupler buckling load.The influence of the coupler buckling load on the train longitudinal-vertical-hori-zontal buckling behavior was studied,and the mechanism of the train horizontal buckling instability in train collisions was revealed.Analysis results show that an intermediate coupler should be designed to ensure that the actual buckling load is less than the compressive load when the car body structure begins to deform plastically.The actual buckling load of the coupler and the asymmetry of the structural strength of the car body in the lateral direction are two important influencing factors for the lateral buckling of a train collision.If the strength of the two sides of the car body structure in the lateral direction is asymmetrical,the deformation on the weaker side will be larger,and the end of the car body will begin to deflect under the action of the coupler force,which in turn causes the train to undergo sawtooth buckling.

关键词： Intermediate coupler Rigid-flexible coupling finite element model Design buckling load Actual buckling load Lateral buckling instability

Magnetic field-induced non-linear transport in HfTe5

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National Science Review 2022年第10期9卷 98-104页

作者： Cheng Zhang Jinshan Yang Zhongbo Yan Xiang Yuan yanwen liu Minhao Zhao Alexey Suslov Jinglei Zhang Li Pi Zhong Wang Faxian Xiu Collaborative Innovation Center of Quantum Matter Shanghai Qi Zhi Institute 12. Shanghai Research Center for Quantum Sciences State Key Laboratory of Surface Physics and Institute for Nanoelectronic Devices and Quantum Computing Fudan University State Key Laboratory of Surface Physics and Department of Physics Fudan University Zhangjiang Fudan International Innovation Center Fudan University State Key Laboratory of High-Performance Ceramics and Superfine Microstructure Shanghai Institute of Ceramics Chinese Academy of Sciences School of Physics Sun Yat-Sen University State Key Laboratory of Precision Spectroscopy East China Normal University National High Magnetic Field Laboratory Anhui Province Key Laboratory of Condensed Matter Physics at Extreme Conditions High Magnetic Field Laboratory of the Chinese Academy of Sciences Institute for Advanced Study Tsinghua University

The interplay of electron correlations and topological phases gives rise to various exotic phenomena including fractionalization,excitonic instability and axionic excitation.Recently discovered transition-metal pentatellurides can reach the ultra-quantum limit in low magnetic fields and serve as good candidates for achieving such a combination.Here,we report evidence of density wave and metal-insulator transition in HfTe5induced by intense magnetic fields.Using the non-linear transport technique,we detect a distinct non-linear conduction behavior in the longitudinal resistivity within the a-c plane,corresponding to the formation of a density wave induced by magnetic fields.In high fields,the onset of non-linear conduction in the Hall resistivity indicates an impurity-pinned magnetic freeze-out as the possible origin of the insulating behavior.These frozen electrons can be gradually reactivated into mobile states above a threshold of electric field.This experimental evidence calls for further investigation into the underlying mechanism of the bulk quantum Hall effect and field-induced phase transitions in pentatellurides.

关键词： topological state quantum transport electron correlation density wave non-linear transport

Research on the Infuence of Multiple Parameters on the Responses of a B-type Subway Train

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Chinese Journal of Mechanical Engineering 2022年第4期35卷 313-330页

作者： yanwen liu Bing Yang Shoune Xiao Tao Zhu Guangwu Yang Ruixian Xiu State Key Laboratory of Traction Power Southwest Jiaotong UniversityChengdu 610031China Basic R&D Department National Railway Passenger Car Engineering Research CenterChangchun Railway Vehicles Co.LtdChangchun 130113China College of Engineering Changchun Normal UniversityChangchun 130032China

To obtain improved comprehensive crashworthiness criteria for a B-type subway train,the infuence laws of the vehicle design collision weight M and empty stroke D on the train’s collision responses were investigated,and multiobjective optimization and decision-making were performed to minimize TS(total compression displacement along the moving train)and TAMA(the overall mean acceleration along the moving train).Firstly,a one-dimensional train collision dynamics model was established and verifed by comparing with the results of the fnite element model.Secondly,based on the dynamics model,the infuence laws of M and D on the collision responses,such as the energy-absorbing devices’displacements and absorbed energy,vehicles’velocity and acceleration,TS,TAMA and the coupling correlation efect were investigated.Then,surrogate models for TS and TAMA were developed using the optimal Latin hypercube method(OLHD)and response surface method(RSM),and multi-objective optimization was conducted using the particle swarm optimization algorithm method(MPOSO).Finally,the entropy method was used to obtain the weight coefcients for TS and TAMA,and multi-objective decision-making was performed.The results indicate that D and M signifcantly afect the compression displacements and energy absorption of the frst three collision interfaces,but have limited impact on the last three collision interfaces.The velocity versus time curves of vehicle M1 and M2 are shifted and parallel with diferent D.However,the velocity versus time curves of all the vehicles are shifted but gradually divergent with diferent M.The maximum collision instantaneous accelerations of the vehicles are directly determined by M,but are only slightly afected by D.Under the coupling efect,all concerned collision responses are strongly correlated with M;however,the responses are weakly correlated with D except for the compression displacement at the M2-M3 collision interface and the maximum collision instantaneous acceleration of vehicle M2.The comprehensive crashworthiness

关键词： Train collision response Multi-body dynamics model Experiment design Surrogate model Multiobjective optimization Entropy method Multi-objective decision-making

Stable Fatigue Crack Propagation of 16MnR Steel

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Journal of Beijing Institute of Technology 2020年第4期29卷 603-612页

作者： yanwen liu Guangyuan Jin Jinjun Gao Yajie liu School of Mechatronics Engineering Harbin Institute of TechnologyHarbin 150001China Heilongjiang Institute of Industrial Technology Harbin 150001China

A research on the stable fatigue crack propagation of 16MnR steel is investigated systematically in this paper.First,control experiments of 16MnR with compact tension specimen is conducted to study the effect of R-ratios,specimen thickness and notch sizes.The experiments show that the fatigue crack growth(FCG)rate in stable propagation was insensitive to these factors.Then,the stress intensity factor(SIF)is computed and compared by displacement interpolation method,J integral and interaction integral method respectively.The simulation shows that optimization on the mesh density and the angle of singular element improved the computational efficiency and accuracy of SIF and the interaction integral method has an obvious advantage on stability.Finally,the FCG rate is modeled by the Jiang fatigue damage criterion and the extended finite element method(XFEM)respectively.The simulation results of FCG rate are in line with experiments data and indicate that XFEM method is more accurate than Jiang fatigue damage method.

关键词： 16MnR crack propagation stress intensity factors fatigue damage extended finite element method