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Editorial for special issue on renewable energy conversion,utilization and storage

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矿物冶金与材料学报:英文版 2023年第10期30卷 1855-1858页

作者： qipeng Lu Zhihong Du Jie Wang Wenbin Cao Hailei Zhao School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China

*** In light of the rapid depletion of fossil energy resources and the escalating environmental pollution crisis,there has been a significant surge in research focused on the development of technologies and materials for renewable energy conversion,utilization,and *** research area has gained paramount importance in addressing the pressing challenges of our time.

关键词： gained energy depletion

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基于改进蚁群优化算法的AGV路径规划

浙江科技学院学报 2024年第1期36卷 59-67页

作者：陈岁繁王浈元李其朋浙江科技大学机械与能源工程学院杭州310023

【目的】针对传统蚁群算法(ant colonyalgorithm, ACA)在移动机器人(automatic guided vehicle, AGV)路径规划中搜索效率低、寻找路径长、拐点个数多等问题,提出一种改进的蚁群优化算法(ant colony optimization, ACO)。【方法】首先,... 详细信息

【目的】针对传统蚁群算法(ant colonyalgorithm, ACA)在移动机器人(automatic guided vehicle, AGV)路径规划中搜索效率低、寻找路径长、拐点个数多等问题,提出一种改进的蚁群优化算法(ant colony optimization, ACO)。【方法】首先,在蚁群算法中加入预估代价值策略来改进启发函数,增强目标点的引导作用,提升搜索效率;然后,结合狼群算法(wolf pack algorithm, WPA)分配机制来更新信息素,解决路径规划时易陷入局部最优的问题;接着加入拐点影响因子来降低路径拐点;最后,采用动态避障策略来解决死锁问题。【结果】运用改进蚁群优化算法后,移动机器人路径规划时,最佳路径长度、迭代次数和拐点数等比传统算法分别降低9.7%、57.8%、65.0%。【结论】本研究结果能为移动机器人在复杂环境下的路径选择提供重要参考。

关键词：蚁群优化算法搜索效率信息素死锁移动机器人

本体感觉神经肌肉促进技术对老年膝骨关节炎患者步行时关节负荷效果的随机对照试验

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中国康复理论与实践 2024年第7期30卷 854-860页

作者：沈培鑫罗心车欣恒刘延浩毛德伟宋祺鹏山东体育学院运动与健康学院山东济南市250102 山东体育学院研究生教育学院山东济南市250102

目的探究本体感觉神经肌肉促进技术(PNF)对膝内侧间室骨关节炎老年患者步行时膝外展力矩和股内侧肌-内侧腓肠肌(VM-MG)共激活指数的影响。方法 2022年3月至5月,在济南社区招募膝骨关节炎老年患者32例,随机分为对照组(n=16)和训练组(n=... 详细信息

目的探究本体感觉神经肌肉促进技术(PNF)对膝内侧间室骨关节炎老年患者步行时膝外展力矩和股内侧肌-内侧腓肠肌(VM-MG)共激活指数的影响。方法 2022年3月至5月,在济南社区招募膝骨关节炎老年患者32例,随机分为对照组(n=16)和训练组(n=16)。训练组接受PNF治疗,对照组自行居家运动,共6周。治疗前后采用红外运动捕捉系统同步三维测力台和肌电图系统测量患者平地步行时的膝外展力矩和肌肉共激活指数。结果对照组3例脱落,训练组2例脱落。治疗后,训练组膝外展力矩第一峰值、第二峰值和VM-MG共激活指数均较治疗前改善(|t|> 2.460, P 2.454, P <0.05)。结论 PNF有助于促进膝骨关节炎患者膝关节内外间室负荷的均匀分布。

关键词：膝骨关节炎本体感觉神经肌肉促进技术关节力矩共激活步行

PNF训练对膝骨关节炎老年患者的康复效果研究

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山东体育学院学报 2024年第2期40卷 104-114页

作者：沈培鑫赵硕肖尧罗心毛德伟宋祺鹏山东体育学院运动与健康学院山东济南250102 菏泽家政职业学院医学康复系山东菏泽274300 山东体育学院研究生教育学院山东济南250102

目的:探索6周神经肌肉本体感觉促进技术(PNF)训练对膝骨关节炎(KOA)老年患者关节疼痛、身体稳定性和楼梯步态的影响。方法:将36名老年志愿者随机分入PNF组和对照组,分别进行每周3次、每次1h、持续6周的PNF训练及健康宣教。干预前、后分... 详细信息

目的:探索6周神经肌肉本体感觉促进技术(PNF)训练对膝骨关节炎(KOA)老年患者关节疼痛、身体稳定性和楼梯步态的影响。方法:将36名老年志愿者随机分入PNF组和对照组,分别进行每周3次、每次1h、持续6周的PNF训练及健康宣教。干预前、后分别评估其疼痛、身体稳定性、主动关节活动度(ROM)、关节角度和力矩等,并应用双因素重复性方差分析评估干预效果。结果:相比干预前,干预后PNF组疼痛分数降低,伯格平衡分数提高,起立行走测试时间缩短,下肢主动ROM增加,下楼梯时髋内收峰值力矩增加,上楼梯时膝内收峰值力矩减小。结论:PNF训练干预能有效缓解KOA老年患者的关节疼痛,提高其身体稳定性和改善楼梯行走功能,可推广应用于KOA的临床治疗。

关键词：关节活动度关节力矩伯格平衡量表起立行走测试 PNF训练膝骨关节炎

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Text information aggregation with centrality attention

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Science China(Information Sciences) 2021年第12期64卷 91-103页

作者： Jingjing GONG Hang YAN Yining ZHENG qipeng GUO Xipeng QIU Xuanjing HUANG School of Computer Science Fudan University Shanghai Key Laboratory of Intelligent Information Processing Fudan University

A lot of natural language processing problems need to encode the text sequence as a fix-length vector, which usually involves an aggregation process of combining the representations of all the words, such as pooling or self-attention. However, these widely used aggregation approaches do not take higher-order relationships among the words into consideration. Hence we propose a new way of obtaining aggregation weights, called eigen-centrality self-attention. More specifically, we build a fully-connected graph for all the words in a sentence, then compute the eigen-centrality as the attention score of each word. The explicit modeling of relationships as a graph is able to capture some higher-order dependency among words, which helps us achieve better results in 5 text classification tasks and one SNLI task than baseline models such as pooling, self-attention, and dynamic routing. Besides, in order to compute the dominant eigenvector of the graph, we adopt a power method algorithm to get the eigen-centrality measure. Moreover, we also derive an iterative approach to get the gradient for the power method process to reduce both memory consumption and computation requirement.

关键词： information aggregation eigen centrality text classification natural language processing deep learning

SiC/SiC复合编织管的抗热冲击性能与失效机理研究

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应用力学学报 2024年第2期41卷 288-296页

作者：胡庆宽许琦鹏万志慧杨保建周为晋小超河南航天精工制造有限公司河南省紧固连接技术重点实验室信阳464000 西安交通大学航天航空学院极端环境与防护技术联合研究中心西安710049

以二维二轴编织的SiC/SiC复合编织管为研究对象,研究其抗热冲击性能及失效机理。自主搭建了基于石英灯辐照加热的循环热冲击试验平台,基于该平台开展了SiC/SiC复合编织管的循环热冲击试验考核,并对循环热冲击后的复合编织管进行了径向... 详细信息

以二维二轴编织的SiC/SiC复合编织管为研究对象,研究其抗热冲击性能及失效机理。自主搭建了基于石英灯辐照加热的循环热冲击试验平台,基于该平台开展了SiC/SiC复合编织管的循环热冲击试验考核,并对循环热冲击后的复合编织管进行了径向压缩测试,探究了复合编织管力学性能与破坏机理,拟合得到了热冲击强度退化经验公式。研究结果表明,搭建的循环热冲击试验平台能够模拟快速升降温的实际服役环境,最高升温、降温速率在试验过程中分别可达约40、60℃/s。随着热冲击循环次数的增加,SiC/SiC复合编织管环向拉伸强度下降,且降幅随之增大。热冲击产生的热应力导致纤维周围的基体产生微裂纹,弱化了纤维束与基体之间的连接,这是复合编织管强度降低的原因之一。拟合的强度退化经验公式能够准确描述强度退化规律,可以满足工程应用需求。

关键词：陶瓷基复合材料 SiC/SiC复合编织管石英灯辐照加热热冲击失效机理

Effects of groove-textured surfaces filled with Sn-Ag-Cu and MXene-Ti_(3)C_(2) composite lubricants on tribological properties of CSS-42L bearing steel

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Friction 2022年第7期10卷 1091-1113页

作者： Yawen XUE Chaohua WU Xiaoliang SHI qipeng HUANG Ahmed Mohamed Mahmoud IBRAHIM School of Mechanical and Electronic Engineering Wuhan University of TechnologyWuhan 430070China Shenzhen Research Institute of Wuhan University of Technology Shenzhen 518000China Department of Production Engineering and Mechanical Design Faculty of EngineeringMinia UniversityEI-Minya 61519Egypt

To improve the tribological performance of CSS-42L bearing steel,smooth surfaces(SSs),groovetextured surfaces(GSs),GSs with Sn-Ag-Cu(GSs-SAC),and GSs with Sn-Ag-Cu-Ti_(3)C_(2)(GSs-SACT)were prepared on *** addition,experimental studies were conducted on tribological *** obtained results indicated that GSs-SACT exhibited the best anti-friction and noise reduction *** remarkable tribological performances were attributed to the synergistic effects of grooves,Sn-Ag-Cu,and MXene-Ti_(3)C_(2).The inconsistent rules of frictional forces were improved by the grooves and SACT,which inhibit the friction-induced *** micro-nano size-effects of MXene-Ti_(3)C_(2) enhanced the repairing effect and anti-friction property of composite lubricants,which improved the profile characteristics of GSs-SACT.

关键词： CSS-42L MXene Sn-Ag-Cu-Ti_(3)C_(2)(SACT) grooves tribological properties friction-induced noise

B lymphoma Moloney murine leukemia virus insertion region 1: An oncogenic mediator in prostate cancer

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Asian Journal of Andrology 2019年第3期21卷 224-232页

作者： qipeng Liu Qiaqia Li Sen Zhu Yang Yi Qi Cao Center for Inflammation and Epigenetics Houston Methodist Research Institute Houston TX 77030 USA Xiangya School of Medicine Central South University Changsha 410008 China Key Laboratory for Stem Cells and Tissue Engineering Ministry of Education Sun Yat-Sen University Guangzhou 510080 China Department of Histology and Embryology Zhongshan School of Medicine Sun Yat-Sen University Guangzhou 510080 China Houston Methodist Cancer Center Houston Methodist Research Institute Houston TX 77030 USA Department of Microbiology and Immunology Weill Cornell Medicine Cornell University New York NY 10065 USA

B lymphoma Moloney murine leukemia virus insertion region 1 (BMI1), a core member of polycomb repressive complex 1 (PRC1), has been intensely investigated in the field of cancer epigenetics for decades. Widely known as a critical regulator in cellular physiology, BMI1 is essential in self-renewal and differentiation in different lineages of stem cells. BMI1 also plays a significant role in cancer etiology for its involvement in pathological progress such as epithelial–mesenchymal transition (EMT) and cancer stem cell maintenance, propagation, and differentiation. Importantly, overexpression of BMI1 is predictive for drug resistance, tumor recurrence, and eventual therapy failure of various cancer subtypes, which renders the pharmacological targeting at BMI1 as a novel and promising therapeutic approach. The study on prostate cancer, a prevalent hormone-related cancer among men, has promoted enormous research advancements in cancer genetics and epigenetics. This review summarizes the role of BMI1 as an oncogenic and epigenetic regulator in tumor initiation, progression, and relapse of prostate cancer.

关键词： B lymphoma Moloney murine leukemia virus insertion region 1 oncogene polycomb repressive complex 1 prostate cancer

基于KPCA-MTCN的锂离子电池故障诊断方法

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工程科学学报 2024年第12期46卷 2297-2306页

作者：谭启鹏李勇琦陈满张领先彭鹏万民惠南方电网调峰调频发电有限公司储能科研院广州511400 北京四方继保工程技术有限公司北京100085

为了维护储能系统的安全稳定运行,本文针对锂离子电池故障诊断这一重要问题,提出了一种结合核主成分分析(KPCA)和多尺度时序卷积网络(MTCN)的故障诊断方法.该方法首先归一化故障数据,然后利用KPCA降低数据维度并校验数据的可靠性;其次,... 详细信息

为了维护储能系统的安全稳定运行,本文针对锂离子电池故障诊断这一重要问题,提出了一种结合核主成分分析(KPCA)和多尺度时序卷积网络(MTCN)的故障诊断方法.该方法首先归一化故障数据,然后利用KPCA降低数据维度并校验数据的可靠性;其次,根据故障类型对数据进行标注,并按比例划分训练集和测试集;接着在训练阶段使用霜冰算法(RIME)优化MTCN模型的超参数以提高模型的精度;最后基于故障数据验证MTCN的分类精度,并与长短期记忆神经网络(LSTM)、卷积神经网络(CNN)、Xception和ResNet50进行比较.在KPCA验证充电故障和未知故障数据的可靠性后,基于两组数据测试的结果表明,相比于CNN和LSTM,MTCN对于两组故障的分类准确率均为最高,分别达到了99.265%和99.688%,与Xception和ResNet50较为接近.同时针对训练数据量的测试结果表明,在训练数据量较少时MTCN仍能保持较好的诊断效果,说明MTCN的并行结构可以从不同的尺度提取更多的时序信息.

关键词：锂离子电池故障诊断核主成分分析多尺度时序卷积网络霜冰算法