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Nanoporous Versus Nanoparticulate Carbon-Based Materials for Capacitive Charge Storage

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Energy & Environmental Materials 2020年第3期3卷 247-264页

作者： yao Chen Xiaoyue hao George Zheng Chen The State Key Laboratory of Refractories and Metallurgy College of Materials and MetallurgyWuhan University of Science and TechnologyWuhan 430081China Department of Chemical and Environmental Engineering Faculty of EngineeringUniversity of NottinghamNottingham NG27RDUK Department of Chemical and Environmental Engineering Faculty of Science and EngineeringUniversity of Nottingham Ningbo ChinaNingbo 315100China

This article reviews recent progresses in the preparation and supercapacitor applications of selected nanoporous and nanoparticulate carbon-based materials,namely activated carbons,graphenes and carbon nanotubes and their composites with redox *** processing steps and graphitization are crucial for making activated *** liquid processing and furnace technology are mainly used in graphene preparation,including curlization,electrolyte incorporation,self-propagating hightemperature synthesis,molten salt technology,and flash Joule *** deposition and new dispersion methods open better routes to making carbon nanotube composites of high charge *** storage mechanisms are compared with attention to the facts that activated carbons store ionic charges largely in desirable nanopores,while the ion-accessible external surfaces of nanoparticulates affect the storage performance of graphenes and composites of carbon ***,it is explained that pseudocapacitance can result from partial(or zone)delocalization of electrons in graphenes caused by hetero atoms,oxygen in particular.A highlight of this review is on novel molten salt densified holey graphene that has enabled a high specific energy of 618 Wh kg-1 in supercapattery.

关键词： activated carbon carbon nanotube electrolyte graphene supercapacitor

基于加权TOPSIS法的舒肝宁注射液临床合理用药评价标准建立与应用

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中国药业 2025年第1期34卷 25-28页

作者：付瑞华张瑞姚雷娜安徽省阜阳市第二人民医院安徽阜阳236000

目的提高舒肝宁注射液的临床合理用药水平。方法以舒肝宁注射液的药品说明书为基础,根据医院舒肝宁注射液的实际应用情况、专家共识、相关药物指导原则等制订其药物利用评价(DUE)标准。选取医院信息系统(HIS)中2022年1月至2023年6月使... 详细信息

目的提高舒肝宁注射液的临床合理用药水平。方法以舒肝宁注射液的药品说明书为基础,根据医院舒肝宁注射液的实际应用情况、专家共识、相关药物指导原则等制订其药物利用评价(DUE)标准。选取医院信息系统(HIS)中2022年1月至2023年6月使用舒肝宁注射液治疗患者的病历135份,采用加权优劣解距离(TOPSIS)法根据制订的DUE标准评价其用药合理性。结果共制订包括舒肝宁注射液适应证、用法用量、溶剂、配伍禁忌、禁忌证、联合用药、疗程、临床疗效评价、药品不良反应(ADR)监测与处理、用药监护、医师权限指标11项评价指标的DUE标准,计算结果满足一致性检验,且权重值分别为9.434%,17.925%,13.208%,6.604%,7.547%,7.547%,4.717%,8.491%,12.264%,6.604%,5.660%。135份病历中,评价指标的相对接受程度(Ci)为0.477~1.000,Ci≥80%的有100份(74.07%),60%≤Ci<80%的有18份(13.33%),Ci<60%的有17份(12.59%),用药不合理主要体现在用法用量(14.07%)、溶剂(10.37%)、ADR监测与处理(9.63%)。结论加权TOPSIS法可评价舒肝宁注射液的合理用药情况,便于指导临床合理用药。

关键词：舒肝宁注射液加权优劣解距离法用药合理性药物利用评价标准

Analysis of the Internal Characteristics of a De ector Jet Servo Valve

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Chinese Journal of Mechanical Engineering 2019年第2期32卷 180-192页

作者： hao Yan Yukai Ren Lei yao Lijing Dong School of Mechanical Electronic and Control Engineering Beijing Jiaotong University

In current research on deflector jet servo valves, the receiver pressure estimated using traditional two-dimensional simulation and theoretical calculation is always lower than the experimental data; therefore, credible information about the flow field in the prestage part of the valve can hardly be obtained. To investigate this issue and understand the internal characteristics of the deflector jet valve, a realistic numerical model is constructed and a three-dimensional simulation carried out that displays a complex flow pattern in the deflector jet structure. Then six phases of the flow pattern are presented, and the defects of the two-dimensional simulation are revealed. Based on the simulation results, it is found that the jet in the deflector has a longer core area and the fluid near the shunt wedge cannot resist the impact of the high-speed fluid. Therefore, two assumptions about the flow distribution are presented by which to construct a more complete theoretical model. The receiver pressure and prestage pressure gain are significantly enhanced in the calculations. Finally, special experiments on the prestage of the servo valve are performed, and the pressure performance of the numerical simulation and the theoretical calculation agree well with the experimental data. Finally, the internal mechanism described by the theoretical and numerical models is verified. From this research,more accurate numerical and theoretical models are proposed by which to figure out the internal characteristics of the deflector jet valve.

关键词： Deflector jet Servo valve Computational fluid dynamics(CFD) Numerical simulation

Mechanical behavior of pathological and normal red blood cells in microvascular flow based on modified level-set method

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Science China(Physics,Mechanics & Astronomy) 2016年第1期59卷 66-74页

作者： XiWen Zhang FangChao Ma PengFei hao ZhaoHui yao Department Engineering Mechanics School of Aerospace Tsinghua University

The research of the motion and deformation of the RBCs is important to reveal the mechanism of blood diseases. A numerical method has been developed with level set formulation for elastic membrane immersed in incompressible fluid. The numerical model satisfies mass and energy conservation without the leaking problems in classical Immersed Boundary Method(IBM), at the same time, computing grid we used can be much smaller than the general literatures. The motion and deformation of a red blood cell(including pathological & normal status) in microvascular flow are simulated. It is found that the Reynolds number and membrane's stiffness play an important role in the transmutation and oscillation of the elastic membrane. The normal biconcave shape of the RBC is propitious to create high deformation than other pathological shapes. With reduced viscosity of the interior fluid both the velocity of the blood and the deformability of the cell reduced. With increased viscosity of the plasma both the velocity of the blood and the deformability of the cell reduced. The tank treading of the RBC membrane is observed at low enough viscosity contrast in shear flow. The tank tread fixed inclination angle of the cell depends on the shear ratio and viscosity contrast, which can be compared with the experimental observation well.

关键词： red blood cell microvascular flow shear flow fluid-structure interaction level set

Economic and entropy production evaluation of extractive distillation and solvent-assisted pressure-swing distillation by multi-objective optimization

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Chinese Journal of Chemical Engineering 2023年第11期63卷 246-259页

作者： yao Wang Qing Ye Jinlong Li Qingqing rui Azhi Yu Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology School of Petrochemical EngineeringChangzhou UniversityChangzhou 213164China

Extractive distillation(ED)and solvent-assisted pressure-swing distillation(SA-PSD)are both special distillation processes that perform good at separating pressure-insensitive ***,few reported studies have compared the performance of the two *** this paper,ED processes with N-methylpyrrolidone(NMP)and dimethlac-etamide(DMCA)as entrainer,SA-PSD process with isopropyl-alcohol(IPA)as solvent and SA-PSD process with partial heat integration(PHI-PSD)are proposed to achieve high purity separation of a mixture of cyclohexane/2-butanol *** optimal operating conditions of the processes are obtained after optimizing with NSGA-Ⅱ algorithm when total annual cost(TAC)and the entropy production of process are set as *** optimal results show that the optimal PHI-PSD process has lower TAC by 28.7% and the lower entropy production by 39.5% than the optimal SA-PSD process while the ED process with NMP as entrainer has lower TAC by 50.9% and the lower entropy production by 56.1% than the optimal SA-PSD *** optimal results show that the ED process with NMP as entrainer has the best economic and thermodynamic efficiency among the four proposed processes in this paper.

关键词： Extractive distillation Solvent-assisted pressure-swing distillation Entropy production NSGA-Ⅱalgorithm Computer simulation

Unraveling the Heterogeneity of Epoxy-amine Networks by Introducing Dynamic Covalent Bonds

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Chinese Journal of Polymer Science 2023年第6期41卷 926-932,I0009页

作者： Hu Xu yao Zhang hao Wang Jin-Rong Wu State Key Laboratory of Polymer Materials Engineering College of Polymer Science and EngineeringSichuan UniversityChengdu 610065China

Epoxy resins are a kind of universal thermosetting plastics,which are widely used as structural materials in various ***,it is necessary to understand the network structure of epoxy ***,it is challenging to reveal the network heterogeneity of epoxy resins due to the permanent covalent ***,we provide a novel strategy to characterize the network heterogeneity of epoxy resins by using the dynamic covalent bonds to replace the conventional covalent *** dynamic covalent bonds can reorganize under heat stimulus and the network keeps a constant crosslinking density during topological rearrangement,making it convenience to study the heterogeneity of epoxy ***-Williams-Watts(KWW)stretched exponential function is used to fit the stress relaxation data,and the parametersβandσperm/σ0 extracted from KWW equation indicate the network becomes more homogenous with the stoichiometric ratio of epoxy groups and amines decreases from 1/1 to 1/*** method proves that the side reaction between epoxy and hydroxyl is the main origin of the structural heterogeneity in epoxy resins compared to the secondary amines network.

关键词： resins bonds amines

Multiconditional machining process quality prediction using deep transfer learning network

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Advances in Manufacturing 2023年第2期11卷 329-341页

作者： Bo-hao Li Li-Ping Zhao Yi-Yong yao State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong UniversityXi'an710049People's Republic of China School of Mechanical Engineering Xi'an Jiaotong UniversityXi'an710049People's Republic of China

The quality prediction of machining processes is essential for maintaining process stability and improving component quality. The prediction accuracy of conventional methods relies on a significant amount of process signals under the same operating conditions. However, obtaining sufficient data during the machining process is difficult under most operating conditions, and conventional prediction methods require a certain amount of training data. Herein, a new multiconditional machining quality prediction model based on a deep transfer learning network is proposed. A process quality prediction model is built under multiple operating conditions. A deep convolutional neural network (CNN) is used to investigate the connections between multidimensional process signals and quality under source operating conditions. Three strategies, namely structure transfer, parameter transfer, and weight transfer, are used to transfer the trained CNN network to the target operating conditions. The machining quality prediction model predicts the machining quality of the target operating conditions using limited data. A multiconditional forging process is designed to validate the effectiveness of the proposed method. Compared with other data-driven methods, the proposed deep transfer learning network offers enhanced performance in terms of prediction accuracy under different conditions.

关键词： Multiconditional machining process Intelligent manufacturing Deep transfer learning Quality prediction Process stability

A novel predict-prevention quality control method of multi-stage manufacturing process towards zero defect manufacturing

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Advances in Manufacturing 2023年第2期11卷 280-294页

作者： Li-Ping Zhao Bo-hao Li Yi-Yong yao State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong UniversityXi'an710049People's Republic of China School of Mechanical Engineering Xi'an Jiaotong UniversityXi'an710049People's Republic of China

Zero defection manufacturing (ZDM) is the pursuit of the manufacturing industry. However, there is a lack of the implementation method of ZDM in the multi-stage manufacturing process (MMP). Implementing ZDM and controlling product quality in MMP remains an urgent problem in intelligent manufacturing. A novel predict-prevention quality control method in MMP towards ZDM is proposed, including quality characteristics monitoring, key quality characteristics prediction, and assembly quality optimization. The stability of the quality characteristics is detected by analyzing the distribution of quality characteristics. By considering the correlations between different quality characteristics, a deep supervised long-short term memory (SLSTM) prediction network is built for time series prediction of quality characteristics. A long-short term memory-genetic algorithm (LSTM-GA) network is proposed to optimize the assembly quality. By utilizing the proposed quality control method in MMP, unqualified products can be avoided, and ZDM of MMP is implemented. Extensive empirical evaluations on the MMP of compressors validate the applicability and practicability of the proposed method.

关键词： Zero defection manufacturing(ZDM) Multi-stage manufacturing process(MMP) Moving window Deep supervised long-short term memory(SLSTM)network Assembly quality optimization

Role of the C9ORF72 Gene in the Pathogenesis of Amyotrophic Lateral Sclerosis and Frontotemporal Dementia

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Neuroscience Bulletin 2020年第9期36卷 1057-1070页

作者： Zongbing hao rui Wang Haigang Ren Guanghui Wang Laboratory of Molecular Neuropathology Jiangsu Key Laboratory of Neuropsychiatric Diseases and Department of PharmacologyCollege of Pharmaceutical SciencesSoochow UniversitySuzhou 215123China

Since the discovery of the C9ORF72 gene in2011,great advances have been achieved in its genetics and in identifying its role in disease models and pathological mechanisms;it is the most common genetic cause of amyotrophic lateral sclerosis(ALS) and frontotemporal dementia(FTD).ALS patients with C9ORF72 expansion show heterogeneous *** who are C9ORF72 expansion carriers have shorter survival after disease onset than non-C9ORF72 expansion *** and clinical features of C9ORF72 patients have been well mimicked via several models,including induced pluripotent stem cell-derived neurons and transgenic mice that were embedded with bacterial artificial chromosome construct and that overexpressing dipeptide repeat *** mechanisms implicated in C9ORF72 pathology include DNA damage,changes of RNA metabolism,alteration of phase separation,and impairment of nucleocytoplasmic transport,which may underlie C9ORF72 expansion-related ALS/FTD and provide insight into nonC9ORF72 expansion-related ALS,FTD,and other neurodegenerative diseases.

关键词： Amyotrophic lateral sclerosis Frontotemporal dementia C9ORF72 Dipeptide repeat proteins Pathological inclusions