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Application of the improved dung beetle optimizer,muti-head attention and hybrid deep learning algorithms to groundwater depth prediction in the Ningxia area,China

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Atmospheric and Oceanic Science Letters 2025年第1期18卷 18-23页

作者： Jiarui Cai bo sun Huijun Wang yi Zheng Siyu Zhou Huixin Li Yanyan Huang Peishu Zong Collaborative Innovation Center on forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment ChangeNanjing University of Information Science and TechnologyNanjingChina Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) ZhuhaiChina China Meteorological Administration Key Laboratory of Transportation MeteorologyNanjingChina Jiangsu Meteorological Observatory NanjingChina

Due to the lack of accurate data and complex parameterization,the prediction of groundwater depth is a chal-lenge for numerical *** learning can effectively solve this issue and has been proven useful in the prediction of groundwater depth in many *** this study,two new models are applied to the prediction of groundwater depth in the Ningxia area,*** two models combine the improved dung beetle optimizer(Dbo)algorithm with two deep learning models:The Multi-head Attention-Convolution Neural Network-Long Short Term Memory networks(MH-CNN-LSTM)and the Multi-head Attention-Convolution Neural Network-Gated Recurrent Unit(MH-CNN-GRU).The models with Dbo show better prediction performance,with larger R(correlation coefficient),RPD(residual prediction deviation),and lower RMSE(root-mean-square error).Com-pared with the models with the original Dbo,the R and RPD of models with the improved Dbo increase by over 1.5%,and the RMSE decreases by over 1.8%,indicating better prediction *** addition,compared with the multiple linear regression model,a traditional statistical model,deep learning models have better prediction performance.

关键词： Groundwater depth Multi-head attention Improved dung beetle optimizer CNN-LSTM CNN-GRU Ningxia

Analyses and Solutions of Specific Cases in Spatial Angles Calculation

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Computer Aided Drafting,Design and Manufacturing 2006年第1期16卷 57-62页

作者： ZHANG Ai-mei QIU yi sun bo-lu FANG Dong-yang School of Mechanical Engineering Zhengzhou University Zhengzhou 450002 China

Aiming at the specific cases existing in spatial angles calculation the paper investigates five types of them： lines in specific orientations, planes in specific orientations, two lines defining a plane and angles between them, orientations and relevant parameters of a line lying on a plane, and orientations and relevant parameters of a plane passing through a line. The results are presented. The strategy presented provides a firm theoretic basis for the application of the new method of spatial angles calculations.

关键词： engineering graphics spatial angles automatic calculation specific cases

Malicious Document Detection Based on GGE Visualization

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Computers, Materials & Continua 2025年第1期82卷 1233-1254页

作者： Youhe Wang yi sun Yujie Li Chuanqi Zhou Henan Province Key Laboratory of Information Security Information Engineering UniversityZhengzhou450000China

With the development of anti-virus technology,malicious documents have gradually become the main pathway of Advanced Persistent Threat(APT)attacks,therefore,the development of effective malicious document classifiers has become particularly ***,detection methods based on document structure and behavioral features encounter challenges in feature engineering,these methods not only have limited accuracy,but also consume large resources,and usually can only detect documents in specific formats,which lacks versatility and *** address such problems,this paper proposes a novel malicious document detection method-visualizing documents as GGE images(Grayscale,Grayscale matrix,Entropy).The GGE method visualizes the original byte sequence of the malicious document as a grayscale image,the information entropy sequence of the document as an entropy image,and at the same time,the grayscale level co-occurrence matrix and the texture and spatial information stored in it are converted into grayscale matrix image,and fuses the three types of images to get the GGE color *** Convolutional Block Attention Module-EfficientNet-B0(CBAM-EfficientNet-B0)model is then used for classification,combining transfer learning and applying the pre-trained model on the ImageNet dataset to the feature extraction process of GGE *** shown in the experimental results,the GGE method has superior performance compared with other methods,which is suitable for detecting malicious documents in different formats,and achieves an accuracy of 99.44%and 97.39%on Portable Document Format(PDF)and office datasets,respectively,and consumes less time during the detection process,which can be effectively applied to the task of detecting malicious documents in real-time.

关键词： Malicious document visualization EfficientNet-B0 convolutional block attention module GGE image

Processes of hydrogeochemical evolution of groundwater in the Guanzhong Basin, China

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Journal of Groundwater Science and Engineering 2015年第2期3卷 136-146页

作者： ZHANG Chun-chao WANG Wen-Ke sun yi-bo LI Xiang-quan HOU Xin-wei Institute of Hydrogeology and Environmental Geology School of Environmental Science and Engineering Chang'an University Key Laboratory of Subsurface Hydrology and Ecology in Arid Areas Ministry of Education Engineering Research Center for Groundwater and Eco-Environment of Shaanxi Province

This paper analyzed regional hydrogeochemical evolution characteristics of groundwater with respect to hydrogeological conditions in the Guanzhong Basin, China. Coefficient variation in the subregion between the Shichuan River and Luo River of the Guanzhong Basin is larger than other subregions, reflecting the more complicated hydrogeological conditions of this subregion. The hydrochemical components and hydrodynamic conditions of this area have distinct horizontal zoning characteristics, and hydrodynamic conditions play a controlling role in the groundwater’s hydrochemistry. The relationship between ions, and between ions and TDS（total dissolved solids） can give an indication of many charteristics of grounwater such as evaporation intensity, ion exchange, and the sources of chemical components. Results indicated that for the coefficient of variation（the coefficient of variation is a statistical measure of the distribution or dispersion of data around mean. This measure is used to analyze the difference of spread in the data relative to the mean value. Coefficient of variation is derived by dividing the standard deviation by the mean）, the minimum value of pH parameters is 0.03-0.07, the minimum value of HCO3-parameters is 0.24, while the maximum is the SO42-coefficinet at 1.67. A PHREEQC simulation demonstrated that different simulation paths roughly have the same trend in dissolution and precipitation of minerals. Along the direction of groundwater flow, the predminant precipitation is of calcite and gypsum and the cation exchange of Na+ and Ca2+ in some paths. However, in other paths, the precipitation of calcite and dissolution of gypsum and dolomite are the main actions, as well as the exchange of Mg2+ and Ca2+ in addition to Na+ and Ca2+.

关键词： Hydrogeochemistry Groundwater Guanzhong Basin Geochemical modelling

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三氧化二砷心脏毒性研究进展

中国药理学通报 2016年第9期32卷 1194-1198页

作者：张静宜孙桂波王敏孙晓波中国医学科学院北京协和医学院药用植物研究所北京100193

三氧化二砷(As_2O_3)在临床上治疗急性早幼粒细胞白血病作用明显,且近年来发现对其他恶性肿瘤亦有良好的效果。但随研究不断深入,As_2O_3的心脏毒性报道也逐渐增多,限制了其临床的广泛应用。目前研究认为三氧化二砷诱导的心脏毒性主要... 详细信息

三氧化二砷(As_2O_3)在临床上治疗急性早幼粒细胞白血病作用明显,且近年来发现对其他恶性肿瘤亦有良好的效果。但随研究不断深入,As_2O_3的心脏毒性报道也逐渐增多,限制了其临床的广泛应用。目前研究认为三氧化二砷诱导的心脏毒性主要与心脏离子通道改变、氧化应激损伤和诱导细胞凋亡有关。该文现就三氧化二砷心脏毒性机制研究及防治进展做一综述。

关键词：三氧化二砷急性早幼粒细胞白血病心脏毒性离子通道氧化应激凋亡

面向聚合物微器件超声波精密封接的阵列微导能结构

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光学精密工程 2011年第4期19卷 754-761页

作者：罗怡张苗苗孙屹博王晓东辽宁省微纳米技术及系统重点实验室辽宁大连116024 大连理工大学精密与特种加工教育部重点实验室辽宁大连116024

为提高聚合物超声波精密封接的可控性,预防高温度场下聚合物的熔融流延影响封接界面质量和精度,提出了阵列式微导能结构。以聚甲基丙烯酸甲酯(PMMA)微小管道的封接为实验对象,研究了阵列微导能结构的尺度对超声波封接过程的影响;采用热... 详细信息

为提高聚合物超声波精密封接的可控性,预防高温度场下聚合物的熔融流延影响封接界面质量和精度,提出了阵列式微导能结构。以聚甲基丙烯酸甲酯(PMMA)微小管道的封接为实验对象,研究了阵列微导能结构的尺度对超声波封接过程的影响;采用热压成型工艺在被封接表面制作了5组不同高度的微结构。采用基于声波传递效率反馈的超声波精密封接方式,对超声波作用下聚合物界面的润湿行为进行了观察分析,讨论了结构尺度对超声波封接质量的影响。结果表明,随着微结构尺寸的增大,实现完全联接需要的超声波能量呈递增的趋势。该种微导能结构有效控制了聚合物熔融流延,获得了均一的封接面,可实现高质量精密封接。

关键词：超声波精密封接 MEMS 聚合物器件导能结构润湿

Targets capture by distributed active swarms via bio-inspired reinforcement learning

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 210-221页

作者： Kun Xu Yue Li Jun sun Shuyuan Du Xinpeng Di Yuguang Yang bo Li Institute of Biomechanics and Medical Engineering Applied Mechanics Laboratory Department of Engineering MechanicsTsinghua University Institute of Nuclear and New Energy Technology Tsinghua University Shanghai Aerospace Control Technology Institute Shanghai Key Laboratory of Aerospace Intelligent Control Technology College of Automation Engineering Nanjing University of Aeronautics and Astronautics

Natural swarms arranged from cells to herds are usually decentralized but display intriguing collective intelligence in coordinating individuals across large scales to efficiently achieve their common goals. Learning from nature may provide new strategies for controlling collective dynamics of synthetic swarms to accomplish specific functions. Here, we present a bioinspired computational framework that steers distributed active swarms to collectively capture and merge targets via reinforcement learning. We exploit collective milling structures of natural herds to cage the targets, and adopt a switching control policy inspired by sperms' chiral dynamics to optimize the trajectories of individuals, through which the active swarms can selforganize to enclose single or multiple distant targets in a dynamical, adaptive and scalable manner. There exists a critical swarm size, beyond which the excessive competition between agents would generate large mechanical forces, leading to capture instability but enabling the transition from short-distance to long-distance merging capture of multiple targets. This work provides physical insights into distributed active swarms and could offer a multilevel, decentralized strategy toward controlling swarm robotics in wide applications such as bio-medical devices, machine immunity, and target clearance.

关键词： swarm intelligence robotics multi-tasks artificial intelligence bionics

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基于统计损伤原理的岩石加速蠕变模型研究

岩土工程学报 2020年第9期42卷 1696-1704页

作者：刘文博张树光陈雷孙博一路平平广西岩土力学与工程重点实验室广西桂林541004 桂林理工大学土木与建筑工程学院广西桂林541004 辽宁工程技术大学土木工程学院辽宁阜新123000

针对现有蠕变理论模型无法较好地描述岩石黏塑性阶段的加速蠕变特性及如何确定岩石加速蠕变阶段的启动条件等问题,对取自阜新恒大煤矿深部围岩开展了室内三轴蠕变试验,分析了岩石在蠕变变形规律。为了使建立的模型不仅较好地描述岩石蠕... 详细信息

针对现有蠕变理论模型无法较好地描述岩石黏塑性阶段的加速蠕变特性及如何确定岩石加速蠕变阶段的启动条件等问题,对取自阜新恒大煤矿深部围岩开展了室内三轴蠕变试验,分析了岩石在蠕变变形规律。为了使建立的模型不仅较好地描述岩石蠕变特性,也可以较好与经典蠕变曲线各阶段相对应,通过经典的蠕变变形示意定义了各个分段临界点的指标,进而建立了一种考虑加速蠕变变形的新型岩石黏弹塑性蠕变模型。结果表明:在考虑岩土类内部缺陷发育的基础上,采用统计损伤理论来构建岩石加速蠕变模型,使得试验曲线也与模型曲线具有良好的吻合度,说明了基于统计损伤原理建立的岩石加速蠕变模型,来反映岩石蠕变全过程曲线是正确的;这也证明了采用统计损伤变量和经典蠕变曲线定义的临界点指标的正确性。岩石蠕变加载过程也是一种岩石内部微元体损伤破坏的过程,在材料微观结构上表现为不可逆性。通过将蠕变曲线分阶段,来定义分段临界点的损伤变量的表达形式,结合统计损伤理论和Perzyna黏塑性模型,对传统的西原体模型进行适当的改进,建立非线性蠕变损伤模型,从而更好地体现了损伤受岩石内部应力应变状态影响和损伤演化规律。

关键词：统计损伤理论黏弹塑性蠕变模型启动条件加速蠕变阈值

Exosomes:the next-generation therapeutic platform for ischemic stroke

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Neural Regeneration Research 2025年第5期20卷 1221-1235页

作者： Wenjing yin Hongyin Ma Yang Qu Jiaxin Ren yingying sun Zhen-Ni Guo yi Yang Stroke Center Department of NeurologyFirst Hospital of Jilin UniversityChangchunJilin ProvinceChina Neuroscience Research Center Department of NeurologyFirst Hospital of Jilin UniversityChangchunJilin ProvinceChina

Current therapeutic strategies for ischemic stroke fall short of the desired objective of neurological functional ***,there is an urgent need to develop new methods for the treatment of this *** are natural cell-derived vesicles that mediate signal transduction between cells under physiological and pathological *** have low immunogenicity,good stability,high delivery efficiency,and the ability to cross the blood–brain *** physiological properties of exosomes have the potential to lead to new breakthroughs in the treatment of ischemic *** rapid development of nanotechnology has advanced the application of engineered exosomes,which can effectively improve targeting ability,enhance therapeutic efficacy,and minimize the dosages *** in technology have also driven clinical translational research on *** this review,we describe the therapeutic effects of exosomes and their positive roles in current treatment strategies for ischemic stroke,including their antiinflammation,anti-apoptosis,autophagy-regulation,angiogenesis,neurogenesis,and glial scar formation reduction ***,it is worth noting that,despite their significant therapeutic potential,there remains a dearth of standardized characterization methods and efficient isolation techniques capable of producing highly purified *** optimization strategies should prioritize the exploration of suitable isolation techniques and the establishment of unified workflows to effectively harness exosomes for diagnostic or therapeutic applications in ischemic ***,our review aims to summarize our understanding of exosome-based treatment prospects in ischemic stroke and foster innovative ideas for the development of exosome-based therapies.

关键词： blood–brain barrier electroacupuncture engineering exercise exosomes ischemic stroke mesenchymal stem cells microglia neuroprotection stents