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活性纳米颗粒与岩石表面间微观力学作用实验解析与润湿调控预测

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中国石油大学学报(自然科学版) 2025年第1期49卷 120-127页

作者：袁彬韩明亮张伟李东明中国石油大学(华东)石油工程学院山东青岛266580 深层油气全国重点实验室(中国石油大学(华东)) 山东青岛266580

微观作用力决定了纳米颗粒在岩石壁面的吸附行为,进而影响纳米颗粒调控壁面润湿性的能力。基于原子力显微镜测量活性SiO_(2)颗粒与石英基底间作用力,建立力学作用理论模型并分析其主控因素;进行纳米颗粒在壁面吸附的分子动力学模拟,验... 详细信息

微观作用力决定了纳米颗粒在岩石壁面的吸附行为,进而影响纳米颗粒调控壁面润湿性的能力。基于原子力显微镜测量活性SiO_(2)颗粒与石英基底间作用力,建立力学作用理论模型并分析其主控因素;进行纳米颗粒在壁面吸附的分子动力学模拟,验证力学模型的合理性;基于力学机制建立预测纳米颗粒调控壁面润湿性的数学模型。结果表明:溶液离子浓度越大或离子价态越高,活性SiO_(2)颗粒与石英基底间作用力越倾向于表现为引力,所建立的力学模型可高效拟合二者间力学数据;二者间力学作用可由离子浓度、纳米颗粒表面修饰分子的长度等因素调控,但离子浓度为主控因素;在双对数曲线中纳米颗粒在壁面的黏附功和壁面油相接触角的变化值呈线性关系。

关键词：提高采收率活性纳米颗粒原子力显微镜润湿调控纳米力学

Evaluating the scope of human leukocyte antigen polymorphisms influencing hepatitis B virus-related liver cancer and cirrhosis through multi-clustering analysis

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World Journal of Gastroenterology 2025年第7期31卷 156-159页

作者： Shi Li Yue Xi Xue-Ying Dong Wen-bin yuan Jing-Feng Tang Ce-Fan Zhou School of Life and Health Sciences Institute of Biomedical ResearchNational“111”Center for Cellular Regulation and Molecular PharmaceuticsKey Laboratory of Fermentation Engineering(Ministry of Education)Hubei University of TechnologyWuhan 430068Hubei ProvinceChina

Hepatitis B virus remains a major cause of cirrhosis and hepatocellular carcinoma,with genetic polymorphisms and mutations influencing immune responses and disease *** et al present novel findings on specific human leukocyte antigen(HLA)alleles,including rs2856718 of HLA-DQ and rs3077 and rs9277535 of HLA-DP,which may predispose individuals to cirrhosis and liver cancer,based on multi-clustering ***,we discuss the feasibility of this approach and identify key areas for further investigation,aiming to offer insights for advancing clinical practice and research in liver disease and related cancers.

关键词： Hepatitis B virus Gene polymorphisms Multi-clustering analysis Genetic markers Personalized medicine Clinical implications

采用自适应神经模糊纠偏系统的AGV纠偏研究

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机械设计与制造 2025年第1期407卷 335-339页

作者：袁斌邵帅李晨祁景涛浙江科技学院机械与能源工程学院浙江杭州310023

为了提升AGV(Automated Guided Vehicle)的自动纠偏能力和运行稳定性,提出一种采用自适应神经模糊纠偏系统的纠偏方法。首先,建立AGV的运动学模型和纠偏模型。其次,在ANFIS编辑器中设计自适应神经模糊控制器。最后,在Adams与Matlab/Siml... 详细信息

为了提升AGV(Automated Guided Vehicle)的自动纠偏能力和运行稳定性,提出一种采用自适应神经模糊纠偏系统的纠偏方法。首先,建立AGV的运动学模型和纠偏模型。其次,在ANFIS编辑器中设计自适应神经模糊控制器。最后,在Adams与Matlab/Simlink软件中分别建立实验所需的AGV模型和纠偏系统。利用Adams与Matlab/Simlink软件的交互性,进行联合仿真实验,将自适应神经模糊纠偏系统与传统控制纠偏系统的实验结果进行对比分析。实验结果表明:自适应神经模糊纠偏系统能够提高AGV的纠偏效率,相较于模糊控制纠偏系统和神经网络纠偏系统,纠偏效率分别提高了42.4%和20.8%,且AGV的运行稳定性也能满足要求。

关键词： AGV 自动纠偏自适应神经模糊纠偏系统联合仿真

Flexible One-Dimensional Nanostructures:A Review

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Journal of Materials Science & Technology 2015年第6期31卷 607-615页

作者： bin yuan Ludovico Cademartiri Department of Chemical & Biological Engineering Iowa State University of Science and Technology Department of Materials Science & Engineering Iowa State University of Science and Technology Ames Laboratory U.S. Department of Energy

This review discusses the recent reports on one-dimensional(1D) nanostructures with unusual *** discuss the importance that flexibility could have in future applications of nanowires and other nanostructures,and detail the two main approaches that have been followed to this day to synthesize highly flexible 1D *** approach is based on making crystals in which one or two dimensions of the structure are comparable in size with the unit *** thinness has been shown to provide unusual *** other approach conjoins hard nanostructures with flexible joints.

关键词： Flexibility One dimension Nanostructures Methodolo

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联合误差修正的工况环境污染物动态预测模型

计算机工程与设计 2025年第2期46卷 408-415页

作者：李晓丽申超韩院彬河北工程大学信息与电气工程学院河北邯郸056038

为提高工况环境污染物预测模型的泛化能力,构建联合误差修正的工况环境污染物动态预测模型。利用自适应白噪声的完备经验模态分解对时间序列进行分解,计算各分量样本熵进行聚合;对高频分量利用变分模态分解进行二次分解,采用长短时记忆... 详细信息

为提高工况环境污染物预测模型的泛化能力,构建联合误差修正的工况环境污染物动态预测模型。利用自适应白噪声的完备经验模态分解对时间序列进行分解,计算各分量样本熵进行聚合;对高频分量利用变分模态分解进行二次分解,采用长短时记忆网络LSTM进行预测。为保证模型的长期预测精度,引入动态误差修正策略,构建ELM误差分析模型提取误差特征,实时调整误差分析模型实现动态预测。通过实例分析,该模型提升了污染物排放浓度的预测精度,进一步保障了企业生产的连续性。

关键词：二次分解样本熵长短时记忆网络误差修正动态预测工况污染物完备经验模态分解

ECCM schemes in netted radar system based ontemporal pulse diversity

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Journal of Systems Engineering and Electronics 2016年第5期27卷 1001-1009页

作者： ahmed abdalla zhao yuan bin tang School of Electronic Engineering University of Electronic Science and Technology of China Chengdu 611731 China

For a netted radar system to counteract the deceptionelectronic countermeasure （ECM） signals, an effective electroniccounter countermeasure （ECCM） approach is proposed. The proposedapproach is realized based on the new signaling strategyfor the temporal pulse diversity, which makes use of transmittingpulses at each pulse repetition interval （PRI） with specific transmissionpulse block, and then following proper processing andinformation fusion. The existence of the deceptive ECM signal isconfirmed by one station, while the other stations in the nettedradar with same parameters applied the pulse diversity ***, this method ensured that, pulse diversity can be appliedin netted radar. The performance assessment shows that theproposed solutions are effective in presence of ECM signals. Thisalgorithm has been demonstrated by simulations. The presentedsimulation results are in excellent consensus with theoretical predictions.

关键词： pulse diversity electronic counter countermeasure(ECCM) digital radio frequency memory (DRFM) electronic countermeasure(ECM) netted radar matching filter.

A Lightweight Network with Dual Encoder and Cross Feature Fusion for Cement Pavement Crack Detection

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 255-273页

作者： Zhong Qu Guoqing Mu bin yuan School of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqing400065China School of Software Engineering Chongqing University of Posts and TelecommunicationsChongqing400065China

Automatic crack detection of cement pavement chiefly benefits from the rapid development of deep learning,with convolutional neural networks(CNN)playing an important role in this ***,as the performance of crack detection in cement pavement improves,the depth and width of the network structure are significantly increased,which necessitates more computing power and storage *** limitation hampers the practical implementation of crack detection models on various platforms,particularly portable devices like small mobile *** solve these problems,we propose a dual-encoder-based network architecture that focuses on extracting more comprehensive fracture feature information and combines cross-fusion modules and coordinated attention mechanisms formore efficient feature ***,we use small channel convolution to construct shallow feature extractionmodule(SFEM)to extract low-level feature information of cracks in cement pavement images,in order to obtainmore information about cracks in the shallowfeatures of *** addition,we construct large kernel atrous convolution(LKAC)to enhance crack information,which incorporates coordination attention mechanism for non-crack information filtering,and large kernel atrous convolution with different cores,using different receptive fields to extract more detailed edge and context ***,the three-stage feature map outputs from the shallow feature extraction module is cross-fused with the two-stage feature map outputs from the large kernel atrous convolution module,and the shallow feature and detailed edge feature are fully fused to obtain the final crack prediction *** evaluate our method on three public crack datasets:DeepCrack,CFD,and *** results on theDeepCrack dataset demonstrate the effectiveness of our proposed method compared to state-of-the-art crack detection methods,which achieves Precision(P)87.2%,Recall(R)87.7%,and F-score(F1)87.4%.Thanks to our lightweight cr

关键词： Shallow feature extraction module large kernel atrous convolution dual encoder lightweight network crack detection

Nmnoparticle-mediated double-stranded RNA delivery system: A promising approach for sustainable pest management

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Insect Science 2021年第1期28卷 21-34页

作者： Shuo Yan bin-yuan Ren Jie Shen Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management College of Plant ProtectionChina Agricultural UniversityBeijingChina National Agricultural Technology Extension and Service Center BeijingChina

RNA interference(RNAi)targeting lethal genes in insects has great potential for sustainable crop *** with traditional double-stranded(ds)RNA delivery systems,nanoparticles such as chitosan,liposomes,and cationic dendrimers offer advantages in delivering dsRNA/small interfering(si)RNA to improve RNAi efficiency,thus promoting the development and practice of RNAi-based pest management ***,we illustrate the limitations of traditional dsRNA delivery systems,reveal the mechanism of nanoparticle-mediated RNAi,summarize the recent progress and successful applications of nanoparticle-mediated RNAi in pest management,and finally address the prospects of nanoparticle-based RNA pesticides.

关键词： dsRNA delivery nanocarrier pest control RNAi efficiency RNA pesticide

Alternating electric field actuated oscillating behavior of liquid metal and its application

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Science China(Technological Sciences) 2016年第4期59卷 597-603页

作者： YANG XiaoHu TAN SiCong yuan bin LIU Jing Beijing Key Lab of Cryo Biomedical Engineering and Key Lab of Cryogenics Technical Institute of Physics and ChemistryChinese Academy of Sciences Department of Biomedical Engineering School of Medicine Tsinghua University

As a class of newly emerging functional material, Gallium based liquid metals have attracted increasing attentions in many fields, such as chip cooling, printed electronics and microfiuidics, etc. Particularly, the motion control of liquid metal droplet has been recently tried for its importance in microelectromechanical system （MEMS）, microfluidics and potential use in micro-machine or reconfigurable soft robot. This paper is dedicated to explore the motion behavior of liquid metal droplet under AC electric field. The quickly induced oscillation phenomena of liquid metal droplet and surrounding electrolyte solution were observed and the major factors to influence such behaviors are theoretically interpreted and experimentally investigated, including the size of the liquid metal droplet, electrode voltage, electrolyte solution concentration and AC signal frequency etc. Moreover, some typical features to distinguish AC filed actuation with DC field are observed, such as intensive fluid waving induced by the resonance stimulation, and the efficient inhibition of solution electrolysis. Finally, two important applications of adopting AC induced surface oscillation of liquid metal droplet to develop solution mixer as well as fluidic pump were demonstrated which successfully avoid gas generation inside electrolyte environment. The bulk oscillation effects of liquid metal as clarified here could be very useful in a variety of areas such as solution disturbance and mixing, and fluid oscillator or pump etc.

关键词： liquid metal motion control AC actuation fluid oscillation and waving resonance effect fluidic pump solution mixer