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基于改进鲸鱼算法的多无人机协同欺骗干扰技术

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电讯技术 2024年第1期64卷 67-73页

作者：丁宸聪叶紫晴中国人民解放军92728部队上海200442

多机协同对组网雷达系统进行航迹欺骗干扰属于大规模优化问题,往往需要利用群体智能算法优化无人机的飞行任务,然而采用传统群体智能算法优化时往往会出现收敛速度慢、求解精度低等问题。针对这一问题,对标准鲸鱼优化算法进行了改进,提... 详细信息

多机协同对组网雷达系统进行航迹欺骗干扰属于大规模优化问题,往往需要利用群体智能算法优化无人机的飞行任务,然而采用传统群体智能算法优化时往往会出现收敛速度慢、求解精度低等问题。针对这一问题,对标准鲸鱼优化算法进行了改进,提出了一种基于改进鲸鱼优化算法的多无人机协同欺骗干扰技术。首先建立了多无人机协同欺骗干扰组网雷达的数学模型以及对应的优化函数,然后在标准鲸鱼优化算法的基础上引入了自适应惯性权值,提高了算法的全局搜索能力和收敛速度。仿真实验表明,固定无人机数量为9架时,利用改进鲸鱼、标准鲸鱼、粒子群、蚁群4种算法分别优化多机协同欺骗干扰模型,得出改进鲸鱼优化算法平均运行时间最短,迭代次数最少,同时优化产生的实际航迹与理论值误差最小;逐步增加无人机数量至20架,利用上述四种算法进行模型求解时得出改进鲸鱼优化算法在不同无人机架数的条件下产生的假目标航迹条数均优于其他3种算法。

关键词：多无人机(multi-UAV)协同航迹欺骗干扰组网雷达改进鲸鱼优化算法

文化传承视域下旅游目的地品牌塑造研究——打造“行走河南·读懂中国”旅游品牌的探索

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价格理论与实践 2024年第1期 113-118,214页

作者：陈艳艳叶紫青洛阳师范学院地理与旅游学院中国社会科学院大学商学院

推动文化传承与文旅融合对实现旅游目的地品牌价值提升发挥重要作用。“行走河南·读懂中国”的品牌塑造给我们提供了一定的经验借鉴。为此,本文从地格理论的视角出发,运用内容分析法对“行走河南·读懂中国”品牌形象的地格因子进行归... 详细信息

推动文化传承与文旅融合对实现旅游目的地品牌价值提升发挥重要作用。“行走河南·读懂中国”的品牌塑造给我们提供了一定的经验借鉴。为此,本文从地格理论的视角出发,运用内容分析法对“行走河南·读懂中国”品牌形象的地格因子进行归纳和梳理。在此基础上,运用旅游三力模型(RAC)筛选“行走河南·读懂中国”旅游目的地品牌基因,并建立品牌基因指标评价体系。研究发现,“中国古都”“文化遗产”“华夏文脉”和“黄河文化”四大人文环境地格因子的品牌基因评价高于4分。这表明,“行走河南·读懂中国”品牌帮助河南成功塑造了“华夏文明之源”的旅游目的地形象。为更好促进旅游目的地品牌提升,从推进文旅深度融合、丰富旅游品牌体系、提高品牌传播质效和深化“品牌IP”建设四个方面提出政策建议。

关键词：文化传承文旅融合品牌塑造地格理论

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流动儿童社会排斥、自尊、亲子依恋与抑郁的关系:一项追踪研究

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中国健康心理学杂志 2024年第3期32卷 475-480页

作者：张樱樱姜涛叶子青王礼申叶一舵台州学院教师教育学院 317000 台州学院材料科学与工程学院福建师范大学海外教育学院韶关学院教师教育学院福建师范大学心理学院

目的:为探讨流动儿童社会排斥、自尊、亲子依恋与抑郁的动态关系。方法:以班级为单位对385名流动儿童进行为期一年的纵向追踪调查。采用协方差结构方程模型对前、后两次4个研究变量间的动态关系进行检验。结果:控制年龄和性别作用后显示... 详细信息

目的:为探讨流动儿童社会排斥、自尊、亲子依恋与抑郁的动态关系。方法:以班级为单位对385名流动儿童进行为期一年的纵向追踪调查。采用协方差结构方程模型对前、后两次4个研究变量间的动态关系进行检验。结果:控制年龄和性别作用后显示:①流动儿童前测社会排斥可以预测其后测抑郁水平(β=0.12,P<0.01);②流动儿童前测自尊在社会排斥对抑郁的即时和延时预测中均起部分中介作用,中介效应值分别是0.11和0.03;③流动儿童前测亲子依恋在其前测社会排斥影响后测抑郁的中介路径前半段中起延时调节作用,调节效应值为-0.12。结论:①社会排斥可以预测流动儿童的抑郁水平;②自尊在社会排斥和流动儿童抑郁中起即时和延时中介作用;③亲子依恋能够延时调节流动儿童社会排斥与自尊的关系。

关键词：流动儿童社会排斥自尊亲子依恋抑郁追踪研究

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3D高分辨率磁共振成像下斑块特征及分布与轻度大脑中动脉狭窄患者临床特征的相关性研究

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中国医学装备 2024年第6期21卷 62-66页

作者：胡满意王跃李慧东叶自青北京怀柔医院影像科北京101400

目的:利用3D高分辨率磁共振成像(3D HR-MRI)技术,分析轻度大脑中动脉(MCA)狭窄患者的斑块特征和分布,以及与缺血性脑卒中发生的相关性。方法:回顾性分析2020年3月至2022年3月北京怀柔医院收治的64例轻度MCA狭窄(狭窄程度<50%)患者,按照... 详细信息

目的:利用3D高分辨率磁共振成像(3D HR-MRI)技术,分析轻度大脑中动脉(MCA)狭窄患者的斑块特征和分布,以及与缺血性脑卒中发生的相关性。方法:回顾性分析2020年3月至2022年3月北京怀柔医院收治的64例轻度MCA狭窄(狭窄程度<50%)患者,按照是否发生短暂性脑缺血发作或缺血性脑卒中分为症状组(30例)和无症状组(34例),评估两组患者的斑块强化程度和分布,分析斑块在HR-MRI上的特征与缺血性脑卒中的相关性。结果:64例患者共有71个斑块,其中30个责任斑块,41个非责任斑块。责任斑块的强化程度显著强于非责任板块,差异有统计学意义(Z=5.645,P<0.05);与非责任斑块相比,责任斑块在MCA的背侧壁和上壁更集中,责任斑块与非责任斑块比较,发生正性重构的可能性更大,差异有统计学意义(χ^(2)=7.658,P<0.05)。结论:在轻度MCA狭窄患者中,斑块的强化程度、分布位置及血管正性重构指标和缺血性脑卒中的发生密切相关。

关键词： 3D高分辨率磁共振成像(3D HR-MRI) 颅内斑块轻度大脑中动脉狭窄脑卒中

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Giant nonlinear Hall effect in twisted bilayer WSe2

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National Science Review 2023年第4期10卷 97-104页

作者： Meizhen Huang Zefei Wu Jinxin Hu Xiangbin Cai En Li Liheng An Xuemeng Feng ziqing ye Nian Lin Kam Tuen Law Ning Wang Department of Physics and Center for Quantum Materials The Hong Kong University of Science and Technology William Mong Institute of Nano Science and Technology The Hong Kong University of Science and Technology

The recently discovered nonlinear Hall effect(NHE) in a few non-interacting systems provides a novel mechanism for generating second-harmonic electrical Hall signals under time-reversal-symmetric conditions. Here, we introduce a new approach to engineering an NHE by using twisted moiré *** found that the twisted WSe2bilayer exhibited an NHE when the Fermi level was tuned to the moiré flat bands. When the first moiré band was half-filled, the nonlinear Hall signal exhibited a sharp peak with a generation efficiency that was at least two orders of magnitude greater than those obtained in previous experiments. We discuss the possible origins of the diverging generation efficiency in twisted WSe2based on resistivity measurements, such as moiré-interface-induced correlation effects and mass-diverging-type continuous Mot transition. This study demonstrates not only how interaction effects can combine with Berry curvature dipoles to produce novel quantum phenomena, but also the potential of NHE measurements as a new tool for studying quantum criticality.

关键词： nonlinear Hall effect moiré superlattice twisted bilayer WSe2 continuous Mott transition electron-electron correlation effect

巴彦浩特石英水平摆倾斜仪地震地球物理短临异常分析

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地震地磁观测与研究 2024年第2期45卷 101-111页

作者：叶子青吴桐苏世兵李腾宇邹鑫慈王鑫李天凯巴彦浩特地震监测中心站中国内蒙古自治区750306 海拉尔地震监测中心站中国内蒙古自治区021000 乌兰浩特地震监测中心站中国内蒙古自治区137400 内蒙古自治区地震局中国呼和浩特010010 阿拉善盟气象局中国内蒙古自治区750306

收集并整理2015-2022年巴彦浩特地震台石英水平摆倾斜仪观测资料,选取典型震例,结合观测区域内地震孕育特点,运用小波分析理论方法,系统分析该台地震地球物理短临异常。结果表明,在地震发生前一段时间内,巴彦浩特地震台石英水平摆倾斜... 详细信息

收集并整理2015-2022年巴彦浩特地震台石英水平摆倾斜仪观测资料,选取典型震例,结合观测区域内地震孕育特点,运用小波分析理论方法,系统分析该台地震地球物理短临异常。结果表明,在地震发生前一段时间内,巴彦浩特地震台石英水平摆倾斜仪NS分量固体潮出现倾斜、阶变、突跳、畸变、扰动变化特征,表明石英水平摆倾斜仪观测数据短临异常映震效果较好,异常持续时间、大小与震级和震中距大小具有相关性,可对阿拉善盟及周边地区形变观测仪器震前短临异常分析提供有效参考。

关键词：地震地球物理异常石英水平摆倾斜仪小波分析

Effect of Foam Cladding for Blast Mitigation:Numerical Simulation

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Transactions of Tianjin University 2006年第B9期12卷 122-125页

作者： MA Guowei ye ziqing ZHANG Xingui School of Civil and Environmental Engineering Nanyang Technological University Singapore 639798 Singapore School of Civil and Architectural Engineering Guangxi University Nanning 530004 China

Two numerical simulations were performed to investigate the protective effect of the foam cladding. One simulation is based on a previous experimental study, which is a ballistic pendulum with and without a foam cladding subjected to close-range blast loading. The other model is a steel beam with and without a foam cladding under blast loading. The overpressure due to the blast event can be calculated by the empirical function ConWep or by an arbitrary Lagrangian-Eulerian (ALE) coupling model. The first approach is relatively simple and widely used. The second approach can model the propagation of the blast wave in the air and the interaction between the air and the solid. It is found that the pendulum with the foam cladding always swings to a larger rotation angel compared to a bare pendulum. However, the steel beam with an appropriate foam cladding has a smaller deflection compared to the bare beam without a foam cladding. It is concluded that the protective effect of the foam cladding depends on the properties of the foam and the protected structure.

关键词：泡沫材料爆炸缓冲 ALE LS-DYNA 数字模拟

Burn image segmentation based on Mask Regions with Convolutional Neural Network deep learning framework:more accurate and more convenient

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Burns & Trauma 2019年第1期7卷 44-57页

作者： Chong Jiao Kehua Su Weiguo Xie ziqing ye School of Computer Science Wuhan UniversityWuhan 430072China Institute of Burns Wuhan Hospital No.3 and Tongren Hospital of Wuhan UniversityWuhan 430060China

Background:Burns are life-threatening with high morbidity and *** diagnosis supported by accurate burn area and depth assessment is critical to the success of the treatment decision and,in some cases,can save the patient’s *** techniques such as straight-ruler method,aseptic film trimming method,and digital camera photography method are not repeatable and comparable,which lead to a great difference in the judgment of burn wounds and impede the establishment of the same evaluation ***,in order to semi-automate the burn diagnosis process,reduce the impact of human error,and improve the accuracy of burn diagnosis,we include the deep learning technology into the diagnosis of ***:This article proposes a novel method employing a state-of-the-art deep learning technique to segment the burn wounds in the *** designed this deep learning segmentation framework based on the Mask Regions with Convolutional Neural Network(Mask R-CNN).For training our framework,we labeled 1150 pictures with the format of the Common Objects in Context(COCO)data set and trained our model on 1000 *** the evaluation,we compared the different backbone networks in our *** backbone networks are Residual Network-101 with Atrous Convolution in Feature Pyramid Network(R101FA),Residual Network-101 with Atrous Convolution(R101A),and InceptionV2-Residual Network with Atrous Convolution(IV2RA).Finally,we used the Dice coefficient(DC)value to assess the model ***:The R101FA backbone network gains the highest accuracy 84.51%in 150 ***,we chose different burn depth pictures to evaluate these three backbone *** R101FA backbone network gains the best segmentation effect in superficial,superficial thickness,and deep partial *** R101A backbone network gains the best segmentation effect in full-thickness ***:This deep learning framework shows excellent segmentation in burn wound and extremely

关键词： Burn image Deep learning Mask R-CNN Image segmentation

Brain circuits for retching-like behavior

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National Science Review 2024年第1期11卷 145-160页

作者： Lifang Huo Zhimin ye Meiling Liu ziqing He Meizhu Huang Dapeng Li Qian Wu Qian Wang Xiaoqun Wang Peng Cao Ji Dong Congping Shang School of Basic Medical Sciences Guangzhou National Laboratory The Fifth Afflliated Hospital Guangzhou Medical University Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory) Department of Neurobiology School of Basic Medical Sciences Beijing Key Laboratory of Neural Regeneration and Repair Advanced Innovation Center for Human Brain Protection Capital Medical University State Key Laboratory of Cognitive Neuroscience and Learning IDG/McGovern Institute for Brain Research Beijing Normal University Changping Life Science Laboratory National Institute of Biological Sciences

Nausea and vomiting are important defensive responses to cope with pathogens and toxins that invade the body. The nucleus of the solitary tract(NTS) is important for initiating these responses. However, the molecular heterogeneities and cellular diversities of the NTS occlude a better understanding of these defensive responses. Here, we constructed the single-nucleus transcriptomic atlas of NTS cells and found multiple populations of NTS neurons that may be involved in these defensive responses. Among these, we identified Calbindin1-positive(Calb1+) NTS neurons that are molecularly distinct from Tac1+*** Calb1+neurons are critical for nausea and retching induced by cereulide; an emetic toxin secreted by Bacillus Cereus. Strikingly, we found that cereulide can directly modulate vagal sensory neurons that innervate Calb1+NTS neurons, a novel mechanism distinct from that for nausea and retching induced by Staphylococcal enterotoxin A. Together, our transcriptomic atlas of NTS neurons and the functional analyses revealed the neural mechanism for cereulide-induced retching-like behavior. These results demonstrate the molecular and cellular complexities in the brain that underlie defensive responses to the diversities of pathogens and toxins.

关键词： vomiting nausea nucleus of the solitary tract Calbindin1 neural circuits