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造纸用干强剂的研究进展与应用

中国造纸 2024年第1期43卷 148-160页

作者：王雨潇周通贺靖一窦文芳刘泽华天津科技大学轻工科学与工程学院生物源纤维制造技术国家重点实验室天津市制浆造纸重点实验室中国轻工业造纸与生物质精炼重点实验室天津300457

本文介绍了造纸用干强剂的增强机理,系统阐述了不同类型造纸用干强剂的研究进展与应用。其中,重点讨论了淀粉、壳聚糖、水溶性植物胶、纤维素及其衍生物、聚丙烯酰胺及其他化学合成类干强剂在造纸湿部领域的研究现状,并对其未来的发展... 详细信息

本文介绍了造纸用干强剂的增强机理,系统阐述了不同类型造纸用干强剂的研究进展与应用。其中,重点讨论了淀粉、壳聚糖、水溶性植物胶、纤维素及其衍生物、聚丙烯酰胺及其他化学合成类干强剂在造纸湿部领域的研究现状,并对其未来的发展进行了展望。

关键词：造纸用干强剂天然聚合物合成聚合物

基于心理痛苦和静息态脑电成分的多模态数据对抑郁症自杀未遂的分类效能

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中国临床心理学杂志 2024年第1期32卷 1-8页

作者：安依雯李杨李欢欢温晓通郭婷王湘中国人民大学心理学系北京100872 中南大学湘雅二医院医学心理研究中心长沙410011

目的:考察结合心理痛苦三因素模型和静息态脑电成分构建重性抑郁症患者自杀未遂分类模型的区分效能和重要特征集。方法:采用便利取样,选取73名重性抑郁症患者和36名健康对照组进行临床量表评估和静息态脑电数据采集。结合人口统计学指... 详细信息

目的:考察结合心理痛苦三因素模型和静息态脑电成分构建重性抑郁症患者自杀未遂分类模型的区分效能和重要特征集。方法:采用便利取样,选取73名重性抑郁症患者和36名健康对照组进行临床量表评估和静息态脑电数据采集。结合人口统计学指标、临床量表得分和静息态脑电指标,采用机器学习的支持向量机算法,构建自杀未遂多模态分类模型。结果:(1)自杀未遂多模态分类模型的准确率为85.01%,AUC为0.93;仅采用静息态脑电指标构建的自杀未遂单模态分类模型准确率为72.10%,AUC为0.59;(2)痛苦逃避是自杀未遂多模态分类模型的首位重要特征,以下依次为年龄、oz通道的低频gamma和抑郁;(3)高频和低频gamma是痛苦逃避分类模型和自杀未遂多模态分类模型中共同的重要特征。结论:自杀未遂多模态分类模型区分效能优良,痛苦逃避是优于抑郁的区分有无自杀未遂的最重要行为特征。gamma作为与痛苦逃避密切相关的脑电特征,其活动异常可能是自杀未遂的神经基础。

关键词：痛苦逃避自杀未遂机器学习静息态脑电

Adaptive fuzzy control for uncertain nonlinear systems

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Journal of Control and Decision 2019年第1期6卷 30-40页

作者： S.C.tong College of Science Liaoning University of TechnologyJinzhouLiaoningPeople’s Republic of China College of Science Liaoning University of TechnologyJinzhouLiaoning 121001People’s Republic of China

In this paper,a survey of adaptive fuzzy for uncertain nonlinear systems is *** first part introduces adaptive fuzzy control emergence and some typical control methods for uncertain nonlinear systems with matching conditions(single-input singleoutput systems,multi-input multi-output systems).The last part presents the adaptive fuzzy state feedback and output-feedback control methods for uncertain nonlinear systems with non-matching conditions based on the backstepping technique,including strictfeedback systems,pure-feedback systems and non-strict-feedback systems.

关键词： Adaptive fuzzy control backstepping technique uncertain nonlinear systems feedback control

Transient multi-physics behavior of an insert high temperature superconducting no-insulation coil in hybrid superconducting magnets with inductive coupling

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Applied Mathematics and Mechanics(English Edition) 2023年第2期44卷 255-272页

作者： Xiang KANG Yujin tong Wei WU Xingzhe WANG Key Laboratory of Mechanics on Western Disaster and Environment Ministry of EducationCollege of Civil Engineering and MechanicsKey Laboratory of Special Function Materials and Structure Design of Ministry of EducationLanzhou UniversityLanzhou 730000China Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China

A transient multi-physics model incorporated with an electromagneto-thermomechanical coupling is developed to capture the multi-field behavior of a single-pancake(SP)insert no-insulation(NI)coil in a hybrid magnet during the charging and discharging *** coupled problem is resolved by means of the finite element method(FEM)for the magneto-thermo-elastic behaviors and the Runge-Kutta method for the transient responses of the electrical circuits of the hybrid superconducting magnet *** results reveal that the transient multi-physics responses of the insert NI coil primarily depend on the charging/discharging procedure of the hybrid ***,a reverse azimuthal current and a compressive hoop stress are induced in the insert NI coil during the charging process,while a forward azimuthal current and a tensile hoop stress are observed during the discharging *** induced voltages in the insert NI coil can drive the currents flowing across the radial turns where the contact resistance ***,it brings forth significant Joule heat,causing a temperature rise and a uniform distribution of this heat in the coil ***,a thermally/mechanically unstable or quenching event may be encountered when a high operating current is flowing in the insert NI *** is numerically predicted that a quick charging will induce a compressive hoop stress which may bring a risk of buckling instability in the coil,while a discharging will *** simulations provide an insight of hybrid superconducting magnets under transient start-up or shutdown phases which are inevitably encountered in practical applications.

关键词： hybrid superconducting magnet high temperature superconducting(HTS)no-insulation(NI)coil inductive coupling multi-physics field thermal stability

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祛瘀生新法防治放射性肺纤维化

中医杂志 2024年第10期65卷 1077-1081页

作者：张兰鑫胡帅航王家伟周彤侯炜中国中医科学院广安门医院北京西城100053 北京中医药大学

瘀血是贯穿放射性肺纤维化病变全程的重要病理因素,存在由新成到久滞的演变过程,治疗应将祛瘀生新法贯穿始终。认为热毒消烁气阴、正虚血行瘀滞为放射性肺纤维化发病之基,伏火内灼肺络、痰瘀互结互阻为发病之渐,经络营卫气伤、瘀血久化... 详细信息

瘀血是贯穿放射性肺纤维化病变全程的重要病理因素,存在由新成到久滞的演变过程,治疗应将祛瘀生新法贯穿始终。认为热毒消烁气阴、正虚血行瘀滞为放射性肺纤维化发病之基,伏火内灼肺络、痰瘀互结互阻为发病之渐,经络营卫气伤、瘀血久化干血为发病之要。主张放射治疗期间,重视透热润燥益气阴,养血和血疏瘀滞,以“未病先防”;若出现放射性肺炎,则侧重化痰祛瘀清伏火,通络解结畅脉道,以“既病防变”;若发展至放射性肺纤维化,则以缓中补虚培元气,祛瘀生新疗干血为主,以“已病防进”,以期为临床治疗提供参考。

关键词：放射性肺纤维化放射性肺损伤祛瘀生新瘀血

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基于改进YOLO v8的煤中杂物检测研究

中国煤炭 2024年第4期50卷 115-125页

作者：王克凡王羽玲童建良杨建国国家煤加工与洁净化工程技术研究中心江苏省徐州市221116 中国矿业大学化工学院江苏省徐州市221116

针对选煤厂毛煤中夹杂的铁丝、编织袋、木头、网片等杂物会对智能干选设备运行及后续生产环节造成严重影响的问题,提出一种基于改进YOLO v8的手选胶带杂物识别方法。引入全局注意力机制,增强图像跨维度特征交互;引入加权双向特征金字塔... 详细信息

针对选煤厂毛煤中夹杂的铁丝、编织袋、木头、网片等杂物会对智能干选设备运行及后续生产环节造成严重影响的问题,提出一种基于改进YOLO v8的手选胶带杂物识别方法。引入全局注意力机制,增强图像跨维度特征交互;引入加权双向特征金字塔网络结构,通过自适应控制不同尺度特征图之间的融合,提高模型对杂物的多尺度检测能力。在此基础上,采用WIoU损失函数替换CIoU损失函数,改善模型训练过程中样本质量的平衡问题,以提高模型的性能。通过数据增强扩充煤中杂物数据集,依据实验验证改进YOLO v8的结果。实验结果表明,改进后的算法与原YOLO v8相比,对手选胶带煤中杂物的平均检测精度明显提高,为毛煤入选前的预先智能除杂奠定了基础。

关键词：煤炭除杂目标检测特征融合注意力机制损失函数

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火炮随动系统的模糊自抗扰控制方法

探测与控制学报 2024年第3期46卷 55-59页

作者：刘磊石志翔尚舒阳王顺吴桐西北机电工程研究所陕西咸阳712099

火炮的随动控制系统要求有较高的控制精度,考虑到传统的PID控制方法针对扰动没有较好的抑制能力,将模糊控制方法与自抗扰控制方法相结合设计了模糊自抗扰位置环控制器。该方法既可以利用自抗扰控制的特性有效地抑制外界扰动,也可以通过... 详细信息

火炮的随动控制系统要求有较高的控制精度,考虑到传统的PID控制方法针对扰动没有较好的抑制能力,将模糊控制方法与自抗扰控制方法相结合设计了模糊自抗扰位置环控制器。该方法既可以利用自抗扰控制的特性有效地抑制外界扰动,也可以通过模糊控制极大地降低自抗扰控制方法中参数调节的繁杂。利用Matlab/Simulink分别搭建了PID、自抗扰和模糊自抗扰三种控制器,通过对三种控制方法进行仿真对比,结果表明,模糊自抗扰控制方法不仅有较快的响应速度,而且对扰动也有更好的抑制能力,具有更加优良的控制效果。

关键词：火炮自抗扰控制模糊控制随动系统仿真测试

Generalized message passing detection of SCMA systems based on dynamic factor graph for better and flexible performance-complexity tradeoff

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Science China(Information Sciences) 2022年第5期65卷 242-249页

作者： Fangqi DONG Huijuan ZHENG Lei MA Sheng tong State Key Laboratory of Integrated Services Networks Xidian University School of Electronic Engineering Xi'an University of Posts and Telecommunications

Multiuser detection based on the message passing algorithm(MPA) has been considered for sparse code multiple access(SCMA) systems. Recently, some complexity-reduced MPA detectors have been proposed, among which the MPA detector based on dynamic factor graph(DFG-MPA) has been shown to outperform other MPA detectors with comparable complexities. However, all these MPA detectors are somehow not very flexible in terms of performance-complexity tradeoff, i.e., the granularities of computational complexity reduction are relatively large. In this paper, a generalized scheme of DFG-MPA, termed as GDFG-MPA, is proposed to make a better and more flexible performance-complexity tradeoff. The proposed scheme features two aspects:(1) instead of banning a message update forever, a banned message update at some iteration is allowed to be updated at later iterations;(2) different numbers of message updates are banned from updating at different iterations. Optimization of GDFG-MPA can be made by allocating banned message updates among iterations. Numerical results have demonstrated that compared to DFG-MPA the proposed GDFG-MPA can achieve much better performance at the same computational complexity or achieve the same performance with much lower complexity. Moreover, the proposed GDFG-MPA is more flexible in tuning the performance and complexity tradeoff.

关键词： sparse code multiple access (SCMA) multiuser detection message passing algorithm (MPA) factor graph computational complexity

Event Temporal Relation Extraction with Attention Mechanism and Graph Neural Network

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Tsinghua Science and Technology 2022年第1期27卷 79-90页

作者： Xiaoliang Xu tong Gao Yuxiang Wang Xinle Xuan the Department of Computer Science and Engineering Hangzhou Dianzi UniversityHangzhou 310018China the Hangzhou Sanhui Digital Information Technology Co. Ltd.Hangzhou 310018China

Event temporal relation extraction is an important part of natural language *** models are being used in this task with the development of deep ***,most of the existing methods cannot accurately obtain the degree of association between different tokens and events,and event-related information cannot be effectively *** this paper,we propose an event information integration model that integrates event information through multilayer bidirectional long short-term memory(Bi-LSTM)and attention *** the above scheme can improve the extraction performance,it can still be further *** further improve the performance of the previous scheme,we propose a novel relational graph attention network that incorporates edge *** this approach,we first build a semantic dependency graph through dependency parsing,model a semantic graph that considers the edges’attributes by using top-k attention mechanisms to learn hidden semantic contextual representations,and finally predict event temporal *** evaluate proposed models on the TimeBank-Dense *** to previous baselines,the Micro-F1 scores obtained by our models improve by 3.9%and 14.5%,respectively.

关键词： temporal relation extraction neural network attention mechanism graph attention network