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Protein arginine methyltransferase-6 regulates heterogeneous nuclear ribonucleoprotein-F expression and is a potential target for the treatment of neuropathic pain

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Neural Regeneration Research 2025年第9期20卷 2682-2696页

作者： Xiaoyu Zhang Yuqi Liu fangxia Xu Chengcheng Zhou Kaimei Lu Bin fang Lijuan Wang Lina Huang Zifeng Xu Department of Anesthesiology International Peace Maternity and Child Health HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina Department of Anesthesiology Shanghai General HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina Shanghai Key Laboratory of Embryo Original Diseases ShanghaiChina

Protein arginine methyltransferase-6 participates in a range of biological functions,particularly RNA processing,transcription,chromatin remodeling,and endosomal ***,it remains unclear whether protein arginine methyl transferase-6 modifies neuropathic pain and,if so,what the mechanisms of this *** this study,protein arginine methyltransferase-6 expression levels and its effect on neuropathic pain were investigated in the spared nerve injury model,chronic constriction injury model and bone cancer pain model,using immunohistochemistry,western blotting,immunoprecipitation,and label-free proteomic *** results showed that protein arginine methyltransferase-6 mostly co-localized withβ-tubulinⅢin the dorsal root ganglion,and that its expression decreased following spared nerve injury,chronic constriction injury and bone cancer *** addition,PRMT6 knockout(Prmt6~(-/-))mice exhibited pain ***,the development of spared nerve injury-induced hypersensitivity to mechanical pain was attenuated by blocking the decrease in protein arginine methyltransferase-6 ***,when protein arginine methyltransferase-6 expression was downregulated in the dorsal root ganglion in mice without spared nerve injury,increased levels of phosphorylated extracellular signal-regulated kinases were observed in the ipsilateral dorsal horn,and the response to mechanical stimuli was ***,protein arginine methyltransferase-6 appeared to contribute to spared nerve injury-induced neuropathic pain by regulating the expression of heterogeneous nuclear ***,protein arginine methyltransfe rase-6-mediated modulation of hete rogeneous nuclear ribonucleoprotein-F expression required amino atids 319 to 388,but not classical H3R2 *** findings indicated that protein arginine methyltransferase-6 is a potential therapeutic target fo r the treatment of peripheral neuro pathic pain.

关键词： dorsal root ganglion heterogeneous nuclear ribonucleoprotein F neuropathic pain protein arginine methyltransferase-6 sensory neurons

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Cold-modeling study of a circulating fluidized bed reactor for flue gas desulfurization (FGD)

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Journal of Environmental Sciences 2000年第2期12卷 88-94页

作者： Qian, Feng Liu, tong-Guang Zhang, Zhen-fang Department of Chemical Engineering Beijing Institute of Light Industry Beijing 100037 China

Short residence time of the sorbent in the gas stream and formation of a dense layer of reaction product surrounding its surface influence the sulfur removal efficiency. A practical means of improving the process performance is to employ fluidized bed reaction in replacement of entrained bed reaction on normally used in cool side desulfurizaiton. This paper describes cold modeling study of a circulating fluidized bed reactor. Several aspects of the problem are discussed: fluidization behavior of CaO, attrition of the sorbent and solids entrainment from the fluidized bed. Mechanisms and key controlling parameters are identified, and an integral model based on rate of attrition and mass balance is developed for predicting steady state mass flows and particle size distributions of the system. A process flow scheme is finally presented for conducting desulfurization tests in the second stage of the study.

关键词： circulating fluidized bed reactor flue gas desulfurization cold modeling study CLC number: X701 Document code: A

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Image Generation of Tomato Leaf Disease Identification Based on Small-ACGAN

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Computers, Materials & Continua 2023年第7期76卷 175-194页

作者： Huaxin Zhou Ziying fang Yilin Wang Mengjun tong School of Mathematics and Computer Science Zhejiang A&F UniversityHangzhou311300China Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology Research Hangzhou311300China School of Humanities and Law Zhejiang A&F UniversityHangzhou311300China Department of Computer Science and Engineering Lehigh UniversityPA18015USA

Plant diseases have become a challenging threat in the agricultural *** learning approaches for plant disease detection and classification have been adopted to detect and diagnose these diseases ***,deep learning entails extensive data for training,and it may be challenging to collect plant *** though plant datasets can be collected,they may be uneven in *** a result,the problem of classification model overfitting *** study targets this issue and proposes an auxiliary classifier GAN(small-ACGAN)model based on a small number of datasets to extend the available ***,after comparing various attention mechanisms,this paper chose to add the lightweight Coordinate Attention(CA)to the generator module of Auxiliary Classifier GANs(ACGAN)to improve the image ***,a gradient penalty mechanism was added to the loss function to improve the training stability of the *** show that the proposed method can best improve the recognition accuracy of the classifier with the doubled *** AlexNet,the accuracy was increased by 11.2%.In addition,small-ACGAN outperformed the other three GANs used in the ***,the experimental accuracy,precision,recall,and F1 scores of the five convolutional neural network(CNN)classifiers on the enhanced dataset improved by an average of 3.74%,3.48%,3.74%,and 3.80%compared to the original ***,the accuracy of MobileNetV3 reached 97.9%,which fully demonstrated the feasibility of this *** general experimental results indicate that the method proposed in this paper provides a new dataset expansion method for effectively improving the identification accuracy and can play an essential role in expanding the dataset of the sparse number of plant diseases.

关键词： Deep learning ACGAN CA gradient penalty tomato diseases identification

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Determination of Quality Properties of Soy Sauce by Support Vector Regression Coupled with SW-NIR Spectroscopy

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Chemical Research in Chinese Universities 2011年第3期27卷 385-391页

作者： LIU tong BAO Chun-fang REN Yu-lin College of Chemistry Jilin UniversityChangchun 130021P.R.China Harbin Centre for Disease Control and Prevention Harbin 150056P.R.China

The modern near-infrared(NIR) spectroscopy analysis is a simple, efficient and nondestructive technique, which has been used in chemical analysis in diverse fields. Shortwave NIR spectroscopy is also a rapid, flexible, and cost-effective method to control product quality in food industry. The method of support vector regression coupled with shortwave NIR spectroscopy was explored for the nondestructive quantitative analysis of the important quality parameters of soy sauce, including amino nitrogen content, total acid content, salt content and color ratio. In this study, the support vector regression(SVR) models based on subtractive spectra and positive spectra were found and compared, the results show that the subtractive spectrum was more excellent than the positive spectrum. Meanwhile, R and RSE were determined, respectively, by means of original spectra and pretreated spectra[standard normal variate (SNV), first-derivative and second-derivative], and the corresponding models were successfully established. The best prediction was achieved by a support vector regression model of the first derivative transformed dataset. In addition, the result obtained by the proposed method was compared with that of Partial Least Squares(PLS), which showed that the generalization performance of the classifier based on SVR was much better than that of PLS. The results demonstrate that shortwave NIR spectroscopy combined with SVR is promising for the quality control of soy sauce.

关键词： Shortwave near-infrared spectroscopy Support vector regression Processing Soy sauce

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Dynamic tensile behavior of AZ31B magnesium alloy at ultra-high strain rates

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Chinese Journal of Aeronautics 2015年第2期28卷 593-599页

作者： Geng Changjian Wu Baolin Liu fang tong Wenwei Han Zhenyu Aviation Industry Corporation of China Engine Design and Research Institute School of Materials Science and Engineering Shenyang Aerospace University

The samples having {0001 } parallel to extruding direction （ED） present a typical true stress-true strain curve with concave-down shape under tension at low strain rate. Ultra-rapid ten- sile tests were conducted at room temperature on a textured AZ31B magnesium alloy. The dynamic tensile behavior was investigated. The results show that at ultra-high strain rates of 1.93 × 10^2 s^-1 and 1.70 × 10^3 s^-1, the alloy behaves with a linear stress-strain response in most strain range and exhibits a brittle fracture. In this case, {10-12} 〈 10-11 〉 extension twinning is basic deformation mode. The brittleness is due to the macroscopic viscosity at ultra-high strain rate, for which the external critical shear stress rapidly gets high to result in a cleavage fracture before large amounts of dislocations are activated. Because { 10-12} tension twinning, { 10-11 } compressive twinning, basal 〈 a 〉 slip, prismatic 〈 a 〉 slip and pyramidal 〈 c ＋ a 〉 slip have different critical shear stresses （CRSS）, their contributions to the degree of deformation are very differential. In addition, Schmid factor plays an important role in the activity of various deformation modes and it is the key factor for the samples with different strain rates exhibit various mechanical behavior under dynamic tensile loading.

关键词： AZ31B magnesium alloy Schmid factor Slip Texture Twinning

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Reactive dividing-wall column for the co-production of ethyl acetate and n-butyl acetate

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Chinese Journal of Chemical Engineering 2019年第1期27卷 136-143页

作者： Hongshi Li tong Li Chunli Li Jing fang Lihui Dong National-Local Joint Engineering Laboratory for Energy Conservation of Chemical Process Integration and Resources Utilization Hebei University of Technology

Reactive dividing-wall column(RDWC) technology plays a critical role in the energy saving and high efficiency of chemical *** this article, the process of co-producing ethyl acetate(EA) and n-butyl acetate(BA) with RDWC was *** was not only the product, but also acted as entrainer to remove the water generated by the two esterification *** and simulations of the co-production process were carried *** was found that the experimental results were in good agreement with the simulation *** kinds of RDWC structures(RDWC-FC and RDWC-RS) were proposed, and the co-production process operating parameters of the two types of RDWC were optimized by Aspen Plus *** optimal operating parameters of the RDWC-FC were determined as follows: 0.6 of the reflux ratio of aqueous phase(RR), 0.66 of the vapor split(R_V) and 0.51 of the liquid split(R_L).And the optimal operating parameters of the RDWC-RS were shown as follows: RR was 0.295 and R_V was ***, the energy saving analysis of the co-production process was based on the annual output of 10000 tons of EA, compared with the traditional reaction distillation(RD) to prepare EA and BA, the reboiler duty of the RDWC-FC column could save 20.4%, TAC saving 23.6%; RDWC-RS reboiler energy consumption could save 17.0%, TAC 22.2%.

关键词： Reactive dividing-wall columns Ethyl acetate n-Butyl acetate Coproduction Energy-saving

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Design of a Networked Tracking Control System With a Data-based Approach

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IEEE/CAA Journal of Automatica Sinica 2019年第5期6卷 1261-1267页

作者： Shiwen tong Dianwei Qian Xiaoyu Yan Jianjun fang Wei Liu the College of Robotics Beijing Union UniversityBeijing 100101and also with Beijing Key Laboratory of Information Service EngineeringBeijing Union UniversityBeijing 100101China the School of Computer and Control Engineering North China Electric Power UniversityBeijing 102206China the Graduate School Beijing Union UniversityBeijing 100101China the College of Urban Rail Transit and Logistics Beijing Union UniversityBeijing 100101China

Tracking control is a very challenging problem in the networked control system(NCS), especially for the process with blurred mechanism and where only input-output data are available. This paper has proposed a data-based design approach for the networked tracking control system(NTCS). The method utilizes the input-output data of the controlled process to establish a predictive model with the help of fuzzy cluster modelling(FCM)technology. Then, the deduced error and error change in the future are treated as inputs of a fuzzy sliding mode controller(FSMC) to obtain a string of future control actions. These candidate control actions in the controller side are delivered to the plant side. Thus, the network induced time delays are compensated by selecting appropriate control action. Simulation outputs prove the validity of the proposed method.

关键词： Delay compensation fuzzy cluster modeling (FCM) fuzzy sliding mode control (FSMC) networked tracking control(NTC)

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Progress in nanostructured photoanodes for dye-sensitized solar cells

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Frontiers of Materials Science 2016年第3期10卷 225-237页

作者： Xueyang LIU Jian fang Yong LIU tong LIN Institute for Frontier Materials Deakin University Geelong VIC 3216 Australia Institute of Advanced Materials for Nano-Bio Applications Wenzhou Medical University Wenzhou 325027 China

Solar cells represent a principal energy technology to convert light into electricity. Commercial solar cells are at present predominately produced by single- or multi-crystalline silicon wafers. The main drawback to silicon-based solar cells, however, is high material and manufacturing costs. Dye-sensitized solar cells （DSSCs） have attracted much attention during recent years because of the low production cost and other advantages. The photoanode （working electrode） plays a key role in determining the performance of DSSCs. In particular, nanostructured photoanodes with a large surface area, high electron transfer efficiency, and low electron recombination facilitate to prepare DSSCs with high energy conversion efficiency. In this review article, we summarize recent progress in the development of novel photoanodes for DSSCs. Effect of semiconductor material （e.g. TiO2, ZnO, SnO2, N2O5, and nano carbon）, preparation, morphology and structure （e.g. nanoparticles, nanorods, nanofibers, nanotubes, fiber/ particle composites, and hierarchical structure） on photovoltaic performance of DSSCs is described. The possibility of replacing silicon-based solar cells with DSSCs is discussed.

关键词： dye-sensitized solar cell (DSSC) nanostructure photoanode

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Random Response of Linear Viscoelastic Systems under Random Excitation

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Journal of Donghua University(English Edition) 2001年第1期18卷 68-71页

作者： Zhang Tianshu(张天舒) fang tong(方同) Department of Basic Science Dong Hua University Shanghai 200051 Department of Engineering Mechanics Northwestern Polytechnical University Xi''an 710072

A method of analyzing random response of linear viscoelastic systems under random excitation has been presented. The covariance matrices of random responses of a single-degree-freedom linear viscoelastic system subjected to stationary white noise and filtered white noise excitations have been obtained in closed form. For illustration, a numerical example has been included. It is observed that viscoelasticity has damping effect on the mean square random responses of the system, the higher is viscoelastic behavior, the higher the damping effect.

关键词： Random response, Viscoelastic system, Random vibration.

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基于全局热网络和局部流体动力学建模的全封闭永磁牵引电机热性能优化（英文）

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2018年第11期19卷 878-888页

作者： Wei CHEN Gui-chu WU you-tong fang Ji-en MA Key Laboratory of Low-Voltage Apparatus Intellectual Technology of Zhejiang Wenzhou University College of Electrical Engineering Zhejiang University

目的:提出一种适用于全封闭冷却结构的电机热性能优化模型,设计一台600 kW的高速列车用永磁牵引电机。创新点:1.通过耦合局部流体动力学模型的方法求解电机复杂冷却风道内的对流传热系数,并在全局热网络模型的框架内得到快速、准确的电... 详细信息

目的:提出一种适用于全封闭冷却结构的电机热性能优化模型,设计一台600 kW的高速列车用永磁牵引电机。创新点:1.通过耦合局部流体动力学模型的方法求解电机复杂冷却风道内的对流传热系数,并在全局热网络模型的框架内得到快速、准确的电机温升结果以用于结构优化;2.在冷却风道中引入栅格结构,采用热性能分析模型优化冷却结构,提升电机热性能;3.通过三维流体动力学模型计算电机局部温升最大值,并提山一种预测特定结构下电机铁损工作阈值的工程方法。方法:1.采用热网络法建立全局热网络模型(图3),并通过耦合局部流体动力学模型计算风道内的热网络参数(图4和6); 2.应用田口设计法对电机风道结构进行优化,并研制样机进行验证(计算与试验结果见表5); 3.假设铁损的谐波附加值与磁密值成正比,通过三维流体动力学模型计算给山端部绕组、永磁体温升值与铁损的预测曲线,并用样机试验进行验证。结论:1.采用全局热网络和局部流体动力学建模的方法可以快速、正确地计算复杂冷却结构下的电机温升分布,且优化后的冷却结构至少可以提升文中电机15%的热性能;2.本文提出的优化模型适用于全封闭风冷或者水冷等冷却结构相对独立且尚无经验公式可参考的电机热性能优化设计;3.铁损工作阈值的预测方法可以为电磁和控制系统设计提供参考。

关键词：热网络模型流体动力学永磁电机全封闭强制风冷

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