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Study on surface discharge of nonlinear conductive epoxy resin/SrTiO3 composites in 80–300 K temperature zone

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High Voltage 2024年第1期9卷 117-126页

作者： Yunqi Xing Bin Wang mingyang Wang Jiakai Chi Peng Jia Rongjin huang State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of TechnologyTianjinChina Key Laboratory of Electormagnetic Field and Electrical Apparatus Reliability of Hebei Province Hebei University of TechnologyTianjinChina Key Laboratory of Special Machine and High Voltage Apparatus(Ministry of Education) Shenyang University of TechnologyShenyangChina State Grid Tianjin High Voltage Company TianjinChina China Energy Engineering Group Tianjin Electric Power Design Institute Co. Ltd.TianjinChina CAS Key Laboratory of Cryogenics Technical Institute of Physics and ChemistryBeijingChina

Bisphenol F epoxy resin(EP)is often used in terminal current lead insulation of superconducting equipment because of its good insulation performance,high mechanical strength,good toughness at cryogenic temperatures,and resistance to cold shock and heat shock.However,due to the wide temperature range of 80–300 K and the strong electric field,the EP-N_(2)interface is prone to surface flashover,resulting in terminal insulation failure.To improve the reliability of the current lead insulation,non-linear conductive EP/strontium titanate(SrTiO_(3))composites were prepared by modification with nano filling.The changes of dielectric,surface discharge,flashover,and trap distribution characteristics of composite materials were studied,and the mechanism of SrTiO_(3)on the surface flashover of composite materials was analysed.The results show that the conductivity of the composite increases with the rise of SrTiO_(3)filling content,and the amplitude of improvement is greater under the strong electric field,showing a more significant non-linearity.The composite has a lower trap energy level and a greater number of shallow traps compared to pure EP,which accelerates surface charge detrapping and reduces charge accumulation,effectively enhancing the discharge and surface flashover voltage of the composite.

关键词： composites composite insulation

Mitophagy in intracerebral hemorrhage:a new target for therapeutic intervention

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Neural Regeneration Research 2024年第2期19卷 316-323页

作者： Yiyang Chen Wenxuan Tang Xinqi huang Yumei An Jiawen Li Shengye Yuan Haiyan Shan mingyang Zhang Institute of Forensic Sciences Suzhou Medical CollegeSoochow UniversitySuzhouJiangsu ProvinceChina Shanghai Key Lab of Forensic Medicine Key Lab of Forensic ScienceMinistry of Justice(Academy of Forensic Science)ShanghaiChina Department of Obstetrics and Gynecology The Affiliated Suzhou Hospital of Nanjing Medical UniversitySuzhouJiangsu ProvinceChina

Intracerebral hemorrhage is a life-threatening condition with a high fatality rate and severe sequelae.However,there is currently no treatment available for intracerebral hemorrhage,unlike for other stroke subtypes.Recent studies have indicated that mitochondrial dysfunction and mitophagy likely relate to the pathophysiology of intracerebral hemorrhage.Mitophagy,or selective autophagy of mitochondria,is an essential pathway to preserve mitochondrial homeostasis by clearing up damaged mitochondria.Mitophagy markedly contributes to the reduction of secondary brain injury caused by mitochondrial dysfunction after intracerebral hemorrhage.This review provides an overview of the mitochondrial dysfunction that occurs after intracerebral hemorrhage and the underlying mechanisms regarding how mitophagy regulates it,and discusses the new direction of therapeutic strategies targeting mitophagy for intracerebral hemorrhage,aiming to determine the close connection between mitophagy and intracerebral hemorrhage and identify new therapies to modulate mitophagy after intracerebral hemorrhage.In conclusion,although only a small number of drugs modulating mitophagy in intracerebral hemorrhage have been found thus far,most of which are in the preclinical stage and require further investigation,mitophagy is still a very valid and promising therapeutic target for intracerebral hemorrhage in the long run.

关键词： intracerebral hemorrhage mitochondrial dysfunction mitophagy neuroinflammation neuroprotection reactive oxygen species secondary brain injury therapeutic target

Network Intrusion Traffic Detection Based on Feature Extraction

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Computers, Materials & Continua 2024年第1期78卷 473-492页

作者： Xuecheng Yu Yan huang Yu Zhang mingyang Song Zhenhong Jia College of Information Science and Engineering Xinjiang UniversityUrumqi830046China Network Department China Mobile Communications Group Xinjiang CoLtd.UrumqiUrumqi830011China Xinjiang Signal Detection and Processing Key Laboratory Xinjiang UniversityUrumqi830000China

With the increasing dimensionality of network traffic,extracting effective traffic features and improving the identification accuracy of different intrusion traffic have become critical in intrusion detection systems(IDS).However,both unsupervised and semisupervised anomalous traffic detection methods suffer from the drawback of ignoring potential correlations between features,resulting in an analysis that is not an optimal set.Therefore,in order to extract more representative traffic features as well as to improve the accuracy of traffic identification,this paper proposes a feature dimensionality reduction method combining principal component analysis and Hotelling’s T^(2) and a multilayer convolutional bidirectional long short-term memory(MSC_BiLSTM)classifier model for network traffic intrusion detection.This method reduces the parameters and redundancy of the model by feature extraction and extracts the dependent features between the data by a bidirectional long short-term memory(BiLSTM)network,which fully considers the influence between the before and after features.The network traffic is first characteristically downscaled by principal component analysis(PCA),and then the downscaled principal components are used as input to Hotelling’s T^(2) to compare the differences between groups.For datasets with outliers,Hotelling’s T^(2) can help identify the groups where the outliers are located and quantitatively measure the extent of the outliers.Finally,a multilayer convolutional neural network and a BiLSTM network are used to extract the spatial and temporal features of network traffic data.The empirical consequences exhibit that the suggested approach in this manuscript attains superior outcomes in precision,recall and F1-score juxtaposed with the prevailing techniques.The results show that the intrusion detection accuracy,precision,and F1-score of the proposed MSC_BiLSTM model for the CIC-IDS 2017 dataset are 98.71%,95.97%,and 90.22%.

关键词： Network intrusion traffic detection PCA Hotelling’s T^(2) BiLSTM

Impairment of rigidity sensing caused by mutant TP53 gain of function in osteosarcoma

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Bone Research 2023年第2期11卷 416-426页

作者： Ming Luo mingyang huang Ningning Yang Yufan Zhu Peng huang Zhujun Xu Wengang Wang Lin Cai Department of Orthopedics Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Orthopedics The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China Department of Emergency The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China

Osteosarcoma(OS)is the most common primary malignant pediatric bone tumor and is characterized by high heterogeneity.Studies have revealed a wide range of phenotypic differences among OS cell lines in terms of their in vivo tumorigenicity and in vitro colony-forming abilities.However,the underlying molecular mechanism of these discrepancies remains unclear.The potential role of mechanotransduction in tumorigenicity is of particular interest.To this end,we tested the tumorigenicity and anoikis resistance of OS cell lines both in vitro and in vivo.We utilized a sphere culture model,a soft agar assay,and soft and rigid hydrogel surface culture models to investigate the function of rigidity sensing in the tumorigenicity of OS cells.Additionally,we quantified the expression of sensor proteins,including four kinases and seven cytoskeletal proteins,in OS cell lines.The upstream core transcription factors of rigidity-sensing proteins were further investigated.We detected anoikis resistance in transformed OS cells.The mechanosensing function of transformed OS cells was also impaired,with general downregulation of rigidity-sensing components.We identified toggling between normal and transformed growth based on the expression pattern of rigidity-sensing proteins in OS cells.We further uncovered a novel TP53 mutation(R156P)in transformed OS cells,which acquired gain of function to inhibit rigidity sensing,thus sustaining transformed growth.Our findings suggest a fundamental role of rigidity-sensing components in OS tumorigenicity as mechanotransduction elements through which cells can sense their physical microenvironment.In addition,the gain of function of mutant TP53 appears to serve as an executor for such malignant programs.

关键词： TP53 impaired rigidity

Research on modelling accuracy and test validation for biomimetic flapping-wing drone

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Biomimetic Intelligence & Robotics 2023年第1期3卷 22-37页

作者： mingyang huang Centre for Transport Studies Imperial College LondonLondon SW72AZUK

Scientific advances in drone design have enabled a wide range of services,underpinned by different drones that have various aerodynamic performance.However,research to date is mostly limited focusing on conventional drones.Unconventional drones such as biomimetic drones attracted much attention due to their advantages,including precise point accessibility,altitude manoeuvrability,and no topography restriction for landing.To model the flight dynamics for biomimetic drones,the modelling accuracy is the key indicator to be determined;thus,it requires further analysis.After reviewing previous research,this paper develops a more accurate model by using appropriate methods for error mitigation.To reflect the flapping pattern of biomimetic drones,this model adopts an advanced numerical method(i.e.,a quasi-steady model)to calculate their aerodynamics.The aerodynamics is also affected by the wind(acting on the drone),determined via wind-generated lift and drag terms.Therefore,this paper develops a combined aerodynamic and wind model applicable to biomimetic drones including flapping-wing drones with the following contributions.Comparative analysis discovers that the difference of drones is unsteady flows;thus,a rigorous physical model is built for flow modelling,and its novelty is a quasi-steady method to realistically quantify drone aerodynamics and wind influence.This model is demonstrated by a valid case study of the most stringent application in relation to the motion of a novel flapping-wing drone.The motion simulation of such drone is performed,and then a three-dimensional engineering prototype is built for flight test validation.This case study is implemented and the modelling performance in terms of accuracy is quantified,validating that the new model increases modelling accuracy based on research to date.

关键词： Biomimetic Flapping wing Dynamics Accuracy Aerodynamics

Activating Connexin43 gap junctions primes adipose tissue for therapeutic intervention

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Acta Pharmaceutica Sinica B 2022年第7期12卷 3063-3072页

作者： Yi Zhu Na Li mingyang huang Xi Chen Yu AAn Jianping Li Shangang Zhao Jan-Bernd Funck Jianhong Cao Zhenyan He Qingzhang Zhu Zhuzhen Zhang Zhao VWang Lin Xu Kevin W.Williams Chien Li Kevin Grove Philipp E.Scherer Touchstone Diabetes Center Department of Internal Medicinethe University of Texas Southwestern Medical Center at DallasDallasTX 75390USA Division of Cardiology Department of Internal Medicinethe University of Texas Southwestern Medical Center at DallasDallasTX 75390USA Division of Hypothalamic Research Department of Internal Medicinethe University of Texas Southwestern Medical Center at DallasDallasTX 75390USA Quantitative Biomedical Research Center Department of Population and Data Sciencesthe University of Texas Southwestern Medical Center at DallasDallasTX 75390USA Department of Pediatrics the University of Texas Southwestern Medical Center at DallasDallasTX 75390USA Novo Nordisk Research Center SeattleWA 98109USA Children’s Nutrition Research Center Department of PediatricsBaylor College of MedicineHoustonTX 77030USA Department of Cell Biology the University of Texas Southwestern Medical Center at DallasDallasTX 75390USA

Adipose tissue is a promising target for treating obesity and metabolic diseases.However,pharmacological agents usually fail to effectively engage adipocytes due to their extraordinarily large size and insufficient vascularization,especially in obese subjects.We have previously shown that during cold exposure,connexin43(Cx43)gap junctions are induced and activated to connect neighboring adipocytes to share limited sympathetic neuronal input amongst multiple cells.We reason the same mechanism may be leveraged to improve the efficacy of various pharmacological agents that target adipose tissue.Using an adipose tissue-specific Cx43 overexpression mouse model,we demonstrate effectiveness in connecting adipocytes to augment metabolic efficacy of theβ_(3)-adrenergic receptor agonist Mirabegron and FGF21.Additionally,combing those molecules with the Cx43 gap junction channel activator danegaptide shows a similar enhanced efficacy.In light of these findings,we propose a model in which connecting adipocytes via Cx43 gap junction channels primes adipose tissue to pharmacological agents designed to engage it.Thus,Cx43 gap junction activators hold great potential for combination with additional agents targeting adipose tissue.

关键词： GJA1 Adipose tissue Gap junction Connexin43 FGF21 β3-Adrenergic receptor agonist Obesity Type 2 diabetes

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基于层间引导的低光照图像渐进增强算法

计算机应用 2024年第6期44卷 1911-1919页

作者：黄梦源常侃凌铭阳韦新杰覃团发广西大学计算机与电子信息学院南宁530004 广西多媒体通信与网络技术重点实验室(广西大学) 南宁530004

低光照图像的图像质量通常较低,低光照图像增强(LLIE)旨在提高这类图像的视觉质量。针对现有的LLIE算法大多专注增强亮度和对比度、忽略细节增强的问题,提出一个基于层间引导的低光照图像渐进增强算法(PELG),兼顾图像亮度和细节增强。首... 详细信息

低光照图像的图像质量通常较低,低光照图像增强(LLIE)旨在提高这类图像的视觉质量。针对现有的LLIE算法大多专注增强亮度和对比度、忽略细节增强的问题,提出一个基于层间引导的低光照图像渐进增强算法(PELG),兼顾图像亮度和细节增强。首先,使用拉普拉斯金字塔(LP)降低任务复杂度,提高算法效率;其次,利用各频率分量间的相关性,在低频和高频分量之间构建基于Transformer的层间引导融合模块,在各高频分量之间构建轻量级的层间引导融合模块,有效精炼金字塔较低层增强信息指导较高层处理图像,实现基于层间引导的渐进增强;最后,通过LP重建亮度均匀、细节清晰的增强图像。实验结果表明,所提算法的峰值信噪比(PSNR)在LOL(LOw-Light dataset)-v1上比DSLR(Deep Stacked Laplacian Restorer)高2.3 dB,在LOL-v2上比UNIE(Unsupervised Night Image Enhancement)高0.55 dB;与其他基于深度学习的LLIE算法相比,所提算法运行速度快,增强结果在客观和主观质量上均获得明显提升,更适用于实际场景。

关键词：低光照图像增强拉普拉斯金字塔特征融合卷积神经网络 Transformer

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北宋京师草料供应与管理

郑州航空工业管理学院学报（社会科学版） 2024年第3期43卷 49-57页

作者：黄明阳张研郑州大学历史学院河南郑州450001

北宋京师通过两税、和买、牧地产出、入中、献纳、市场供应等多种途径,保证朝廷草料用度。京师民间草料用度则通过商业途径实现。北宋后期京师官府草料来源逐渐从以赋税征收为主转变为以市场供应为主。草料贮藏于草料场中,京师草料场主... 详细信息

北宋京师通过两税、和买、牧地产出、入中、献纳、市场供应等多种途径,保证朝廷草料用度。京师民间草料用度则通过商业途径实现。北宋后期京师官府草料来源逐渐从以赋税征收为主转变为以市场供应为主。草料贮藏于草料场中,京师草料场主管机构经历三司之下临时机构“提点仓场所”与元丰改制后司农寺领导下的“提点仓场司”。草料场的日常管理由监官负责,看门则有“监门官”,其下有“专知”“专副”等吏人。在草料受纳、储存和出纳过程中需保证草料的数量、质量以及预防火灾等,为此北宋实施白日“巡觑”制度与夜晚“押宿”制度。因北宋京师草料管理制度完备,京师的草料供应得到充分保障。

关键词：北宋开封草料

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新型滑模观测器下的表贴式永磁同步电机控制

组合机床与自动化加工技术 2024年第1期 82-87页

作者：纪明阳孙志锋马风力黄颖浙江大学电气工程学院杭州310027 杭州力超智能科技有限公司杭州311200

在传统的滑模观测器(SMO)下的永磁同步电机(PMSM)无位置传感器控制系统中存在着一些问题,如抖振较强,实际转速与预期转速差值较大并且有波动等情况。针对这些问题,采用滑模控制中的一般趋近律代替传统滑模观测器中的等速趋近律,并且用... 详细信息

在传统的滑模观测器(SMO)下的永磁同步电机(PMSM)无位置传感器控制系统中存在着一些问题,如抖振较强,实际转速与预期转速差值较大并且有波动等情况。针对这些问题,采用滑模控制中的一般趋近律代替传统滑模观测器中的等速趋近律,并且用光滑的Sigmoid函数替代传统的符号函数,同时通过模糊控制系统对指数趋近律中的参数进行自适应调节,对表贴式PMSM的无位置传感器控制中产生的抖振进行抑制,并且提高SMO的观测精度。利用Lyapunov第二方法对该方法进行稳定性判断,验证该方法的稳定性。使用MATLAB/Simulink搭建基于滑模观测器的PMSM控制系统仿真模型,将该仿真结果与传统的滑模观测器的仿真结果进行比较分析。研究结果显示,新型的滑模观测器依旧能够快速地追踪转子的位置,同时具有更加良好的稳定性。

关键词：永磁同步电机滑模观测器趋近律切换函数模糊控制系统