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GranuSAS:Software of rapid particle size distribution analysis from small angle scattering data
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作者 Qiaoyu Guo Fei Xie +3 位作者 Xuefei Feng Zhe Sun Changda Wang Xuechen Jiao 《Chinese Physics B》 2026年第2期216-225,共10页
Small angle x-ray scattering(SAXS)is an advanced technique for characterizing the particle size distribution(PSD)of nanoparticles.However,the ill-posed nature of inverse problems in SAXS data analysis often reduces th... Small angle x-ray scattering(SAXS)is an advanced technique for characterizing the particle size distribution(PSD)of nanoparticles.However,the ill-posed nature of inverse problems in SAXS data analysis often reduces the accuracy of conventional methods.This article proposes a user-friendly software for PSD analysis,GranuSAS,which employs an algorithm that integrates truncated singular value decomposition(TSVD)with the Chahine method.This approach employs TSVD for data preprocessing,generating a set of initial solutions with noise suppression.A high-quality initial solution is subsequently selected via the L-curve method.This selected candidate solution is then iteratively refined by the Chahine algorithm,enforcing constraints such as non-negativity and improving physical interpretability.Most importantly,GranuSAS employs a parallel architecture that simultaneously yields inversion results from multiple shape models and,by evaluating the accuracy of each model's reconstructed scattering curve,offers a suggestion for model selection in material systems.To systematically validate the accuracy and efficiency of the software,verification was performed using both simulated and experimental datasets.The results demonstrate that the proposed software delivers both satisfactory accuracy and reliable computational efficiency.It provides an easy-to-use and reliable tool for researchers in materials science,helping them fully exploit the potential of SAXS in nanoparticle characterization. 展开更多
关键词 small angle x-ray scattering data analysis software particle size distribution inverse problem
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Cascading failure modeling and survivability analysis of weak-communication underwater unmanned swarm networks
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作者 Yifan Yuan Xiaohong Shen +3 位作者 Lin Sun Ke He Yongsheng Yan Haiyan Wang 《Defence Technology(防务技术)》 2026年第2期66-82,共17页
Cascading failures pose a serious threat to the survivability of underwater unmanned swarm networks(UUSNs),significantly limiting their service ability in collaborative missions such as military reconnaissance and env... Cascading failures pose a serious threat to the survivability of underwater unmanned swarm networks(UUSNs),significantly limiting their service ability in collaborative missions such as military reconnaissance and environmental monitoring.Existing failure models primarily focus on power grids and traffic systems,and don't address the unique challenges of weak-communication UUSNs.In UUSNs,cascading failure present a complex and dynamic process driven by the coupling of unstable acoustic channels,passive node drift,adversarial attacks,and network heterogeneity.To address these challenges,a directed weighted graph model of UUSNs is first developed,in which node positions are updated according to ocean-current-driven drift and link weights reflect the probability of successful acoustic transmission.Building on this UUSNs graph model,a cascading failure model is proposed that integrates a normal-failure-recovery state-cycle mechanism,multiple attack strategies,and routingbased load redistribution.Finally,under a five-level connectivity UUSNs scheme,simulations are conducted to analyze how dynamic topology,network load,node recovery delay,and attack modes jointly affect network survivability.The main findings are:(1)moderate node drift can improve survivability by activating weak links;(2)based-energy routing(BER)outperform based-depth routing(BDR)in harsh conditions;(3)node self-recovery time is critical to network survivability;(4)traditional degree-based critical node metrics are inadequate for weak-communication UUSNs.These results provide a theoretical foundation for designing robust survivability mechanisms in weak-communication UUSNs. 展开更多
关键词 Weak communication Underwater unmanned swarm networks(UUSNs) Link success probability Cascading failure Node self-recovery Survivability analysis
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Microstructure Analysis of TC4/Al 6063/Al 7075 Explosive Welded Composite Plate via Multi-scale Simulation and Experiment 被引量:1
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作者 Zhou Jianan Luo Ning +3 位作者 Liang Hanliang Chen Jinhua Liu Zhibing Zhou Xiaohong 《稀有金属材料与工程》 北大核心 2025年第1期27-38,共12页
Because of the challenge of compounding lightweight,high-strength Ti/Al alloys due to their considerable disparity in properties,Al 6063 as intermediate layer was proposed to fabricate TC4/Al 6063/Al 7075 three-layer ... Because of the challenge of compounding lightweight,high-strength Ti/Al alloys due to their considerable disparity in properties,Al 6063 as intermediate layer was proposed to fabricate TC4/Al 6063/Al 7075 three-layer composite plate by explosive welding.The microscopic properties of each bonding interface were elucidated through field emission scanning electron microscope and electron backscattered diffraction(EBSD).A methodology combining finite element method-smoothed particle hydrodynamics(FEM-SPH)and molecular dynamics(MD)was proposed for the analysis of the forming and evolution characteristics of explosive welding interfaces at multi-scale.The results demonstrate that the bonding interface morphologies of TC4/Al 6063 and Al 6063/Al 7075 exhibit a flat and wavy configuration,without discernible defects or cracks.The phenomenon of grain refinement is observed in the vicinity of the two bonding interfaces.Furthermore,the degree of plastic deformation of TC4 and Al 7075 is more pronounced than that of Al 6063 in the intermediate layer.The interface morphology characteristics obtained by FEM-SPH simulation exhibit a high degree of similarity to the experimental results.MD simulations reveal that the diffusion of interfacial elements predominantly occurs during the unloading phase,and the simulated thickness of interfacial diffusion aligns well with experimental outcomes.The introduction of intermediate layer in the explosive welding process can effectively produce high-quality titanium/aluminum alloy composite plates.Furthermore,this approach offers a multi-scale simulation strategy for the study of explosive welding bonding interfaces. 展开更多
关键词 TC4/Al 6063/Al 7075 composite plate explosive welding microstructure analysis multi-scale simulation
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In-situ observation and analysis of high temperature behavior of carbides in GCr15 bearing steel by confocal laser scanning microscopy 被引量:2
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作者 Jun Ren Yue Teng +4 位作者 Xiang Liu Xi Xu Hui-gai Li Ke Han Qi-jie Zhai 《Journal of Iron and Steel Research International》 2025年第2期409-417,共9页
The high-temperature dissolution behavior of primary carbides in samples taken from GCr15 continuous-casting bloom was observed in-situ by confocal laser scanning microscopy.Equations were fitted to the dissolution ki... The high-temperature dissolution behavior of primary carbides in samples taken from GCr15 continuous-casting bloom was observed in-situ by confocal laser scanning microscopy.Equations were fitted to the dissolution kinetics of primary carbides during either heating or soaking.Dissolution of carbides proceeded in three stages(fast→slow→faster)as either temperature or holding time was increased.During the heating process and during the first and third stages of the soaking process,the original size of the carbides determined the steepness of the slope,but during the middle(“slow”)stage of the soaking process,the slope remained zero.The initial size of the carbides varied greatly,but their final dissolution temperature fell within the narrow range of 1210-1235℃,and the holding time remained within 50 min.Fractal analysis was used to study the morphological characteristics of small and medium-sized carbides during the dissolution process.According to changes in the fractal dimension before and after soaking,the carbides tended to evolve towards a more regular morphology. 展开更多
关键词 Bearing steel High-temperature confocal laser scanning microscope In-situ observation Primary carbide Fractal analysis
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时变AGV小车多物流任务配送路线实时SCA优化算法
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作者 黄继磊 卢胜勇 吴奔 《包装工程》 北大核心 2026年第1期226-231,共6页
目的解决时变AGV小车多物流任务配送路线的平均配送时间较长的问题。方法提出一种时变AGV小车多物流任务配送路线的实时正弦余弦算法(Sine Cosine Algorithm,SCA)。通过建立车辆运输动态模型,求解配送时效性与关键参数的比例关系,合理规... 目的解决时变AGV小车多物流任务配送路线的平均配送时间较长的问题。方法提出一种时变AGV小车多物流任务配送路线的实时正弦余弦算法(Sine Cosine Algorithm,SCA)。通过建立车辆运输动态模型,求解配送时效性与关键参数的比例关系,合理规划AGV负载。以最短路径与最短配送时间为平衡条件构建目标函数,确定配送时间的极限范围。利用SCA优化算法的搜索与开发区间,计算随机值在不同区间的决策影响,定义同时满足最短距离与最短时间的目标函数区间,并通过迭代寻优输出最优配送路线。结果该方法在正常与拥堵路况下均能实现最优配送,随着任务数量增加,平均配送时间始终保持在25min以内,体现了良好的实时性能。结论所提出的实时SCA优化算法能有效规划时变AGV小车的配送路线,在不同路况与任务规模下均可实现配送时间短、实时性高的物流配送。 展开更多
关键词 时变AGV小车 多物流任务配送路线 sca优化算法 目标函数 配送时效性
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双SCARA机器人动力学参数优化与仿真
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作者 李亚 田昊新 +1 位作者 代卓宏 丁彦玉 《机械设计与制造》 北大核心 2026年第1期329-333,338,共6页
提出一种针对双SCARA机器人动力学建模的新方法,在该机器人运动学基础上,基于虚功原理推导出一种新的形式简洁、计算简单的广义坐标下系统的动力学方程,能够有效快速得出电机驱动力矩。基于ADAMS建立了双SCARA机器人的动力学模型,与Mat... 提出一种针对双SCARA机器人动力学建模的新方法,在该机器人运动学基础上,基于虚功原理推导出一种新的形式简洁、计算简单的广义坐标下系统的动力学方程,能够有效快速得出电机驱动力矩。基于ADAMS建立了双SCARA机器人的动力学模型,与Matlab联合仿真验证了动力学模型的正确性。从动力学方程中,分析影响驱动力矩的因素,针对这些因素进行优化设计。结果表明,建立的动力学模型中的系统受力表达形式简洁且相互独立,在给定运动规律和外载荷下,各运动杆件惯性力对驱动力矩影响较大,优化设计后机器人的电机力矩明显减小,动力学性能得到改善。 展开更多
关键词 并联机器人 动力学 优化设计 仿真分析
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Bidirectional Mendelian randomization and mediation analysis of million-scale data reveal causal relationships between thyroid-related phenotypes,smoking,and lung cancer
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作者 Xiang Wang Xuan Wang +15 位作者 Mengsheng Zhao Lijuan Lin Yi Li Ning Xie Yanru Wang Aoxuan Wang Xiaowen Xu Can Ju Qiuyuan Chen Jiajin Chen Ruili Hou Zhongwen Zhang David C.Christiani Feng Chen Yongyue Wei Ruyang Zhang 《Journal of Biomedical Research》 2025年第5期441-451,I0001-I0023,共34页
Emerging evidence highlights the role of thyroid hormones in cancer,although findings are controversial.Research on thyroid-related traits in lung carcinogenesis is limited.Using UK Biobank data,we performed bidirecti... Emerging evidence highlights the role of thyroid hormones in cancer,although findings are controversial.Research on thyroid-related traits in lung carcinogenesis is limited.Using UK Biobank data,we performed bidirectional Mendelian randomization(MR)to assess causal associations between lung cancer risk and thyroid dysfunction(hypothyroidism and hyperthyroidism)or functional traits(free thyroxine[FT4]and normal-range thyroid-stimulating hormone[TSH]).Furthermore,in the smoking-behavior-stratified MR analysis,we evaluated the mediating effect of thyroid-related phenotypes on the association between smoking behaviors and lung cancer.We demonstrated significant associations between lung cancer risk and hypothyroidism(hazard ratio[HR]=1.14,95%confidence interval[CI]=1.03–1.26,P=0.009)and hyperthyroidism(HR=1.55,95%CI=1.29–1.87,P=1.90×10^(-6))in the UKB.Moreover,the MR analysis indicated a causal effect of thyroid dysfunction on lung cancer risk(ORinverse variance weighted[IVW]=1.09,95%CI=1.05–1.13,P=3.12×10^(-6)for hypothyroidism;ORIVW=1.08,95%CI=1.04–1.12,P=8.14×10^(-5)for hyperthyroidism).We found that FT4 levels were protective against lung cancer risk(ORIVW=0.93,95%CI=0.87–0.99,P=0.030).Additionally,the stratified MR analysis demonstrated distinct causal effects of thyroid dysfunction on lung cancer risk among smokers.Hyperthyroidism mediated the effect of smoking behaviors,especially the age of smoking initiation(17.66%mediated),on lung cancer risk.Thus,thyroid dysfunction phenotypes play causal roles in lung cancer development exclusively among smokers and act as mediators in the causal pathway from smoking to lung cancer. 展开更多
关键词 HYPOTHYROIDISM HYPERTHYROIDISM lung neoplasms SMOKING CAUSALITY Mendelian randomization analysis
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Changes in border-associated macrophages after stroke: Single-cell sequencing analysis 被引量:2
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作者 Ning Yu Yang Zhao +3 位作者 Peng Wang Fuqiang Zhang Cuili Wen Shilei Wang 《Neural Regeneration Research》 2026年第1期346-356,共11页
Border-associated macrophages are located at the interface between the brain and the periphery, including the perivascular spaces, choroid plexus, and meninges. Until recently, the functions of border-associated macro... Border-associated macrophages are located at the interface between the brain and the periphery, including the perivascular spaces, choroid plexus, and meninges. Until recently, the functions of border-associated macrophages have been poorly understood and largely overlooked. However, a recent study reported that border-associated macrophages participate in stroke-induced inflammation, although many details and the underlying mechanisms remain unclear. In this study, we performed a comprehensive single-cell analysis of mouse border-associated macrophages using sequencing data obtained from the Gene Expression Omnibus(GEO) database(GSE174574 and GSE225948). Differentially expressed genes were identified, and enrichment analysis was performed to identify the transcription profile of border-associated macrophages. CellChat analysis was conducted to determine the cell communication network of border-associated macrophages. Transcription factors were predicted using the ‘pySCENIC' tool. We found that, in response to hypoxia, borderassociated macrophages underwent dynamic transcriptional changes and participated in the regulation of inflammatory-related pathways. Notably, the tumor necrosis factor pathway was activated by border-associated macrophages following ischemic stroke. The pySCENIC analysis indicated that the activity of signal transducer and activator of transcription 3(Stat3) was obviously upregulated in stroke, suggesting that Stat3 inhibition may be a promising strategy for treating border-associated macrophages-induced neuroinflammation. Finally, we constructed an animal model to investigate the effects of border-associated macrophages depletion following a stroke. Treatment with liposomes containing clodronate significantly reduced infarct volume in the animals and improved neurological scores compared with untreated animals. Taken together, our results demonstrate comprehensive changes in border-associated macrophages following a stroke, providing a theoretical basis for targeting border-associated macrophages-induced neuroinflammation in stroke treatment. 展开更多
关键词 border-associated macrophages CLODRONATE hypoxia ISCHEMIA-REPERFUSION ischemic stroke liposomes neuroinflammation single-cell sequencing analysis STAT3 tumor necrosis factor
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Investigating the Link between Ascaris Lumbricoides and Asthma in Human with Analysis of Fractal Fractional Caputo-Fabrizio of a Mathematical Model
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作者 Manal Adil Murad Shayma Adil Murad +2 位作者 Thabet Abdeljawad Aziz Khan D.K.Almutairi 《Computer Modeling in Engineering & Sciences》 2025年第6期3377-3409,共33页
Asthma is the most common allergic disorder and represents a significant global public health problem.Strong evidence suggests a link between ascariasis and asthma.This study aims primarily to determine the prevalence... Asthma is the most common allergic disorder and represents a significant global public health problem.Strong evidence suggests a link between ascariasis and asthma.This study aims primarily to determine the prevalence of Ascaris lumbricoides infection among various risk factors,to assess blood parameters,levels of immunoglobulin E(IgE)and interleukin-4(IL-4),and to explore the relationship between ascariasis and asthma in affected individuals.The secondary objective is to examine a fractal-fractional mathematical model that describes the four stages of the life cycle of Ascaris infection,specifically within the framework of the Caputo-Fabrizio derivative.A case-control study was conducted that involved 270 individuals with asthma and 130 healthy controls,all of whom attended general hospitals in Duhok City,Iraq.Pulmonary function tests were performed using a micromedical spirometer.The presence of Ascaris lumbricoides antibodies-Immunoglobulin M(IgM),Immunoglobulin G(IgG),and Immunoglobulin E(IgE)-was detected using ELISA.Blood parameters were analyzed using a Coulter counter.The overall infection rate was(42.5%),with the highest rates observed among asthmatic men(70.0%)and rural residents(51.4%).Higher infection rates were also recorded among low-income individuals(64.3%)and those with frequent contact with the soil(58.6%).In particular,infected individuals exhibited a significant decrease in red blood cell count and hemoglobin concentration,while a marked increase in white blood cell count was recorded.In addition,levels of Immunoglobulin E(IgE)and interleukin-4 were significantly higher in the infected group compared to the controls.Effective disease awareness strategies that incorporate health education and preventive measures are needed.Exposure to Ascaris has been associated with reduced lung function and an increased risk of asthma.More research is required to elucidate the precise mechanisms that link Ascaris infection with asthma.Furthermore,the existence and uniqueness of solutions for the proposed model are investigated using the Krasnosel’skii and Banach fixed-point theorems.The Ulam-Hyers and Ulam-Hyers-Rassias stability types are explained within the framework of nonlinear analysis inŁp-space.Finally,an application is presented,including tabulated results and figures generated using MATLAB to illustrate the validity of the theoretical findings. 展开更多
关键词 Ascaris lumbricoides ASTHMA fractal-fractional differential equation Caputo-Fabrizio derivative stability analysis
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Monitoring and Analysis of Antibody Levels and Immunization Efficacy for Five Major Diseases in Large-scale Pig Farms
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作者 Jinrong SHEN Min YAO +6 位作者 Ping LI Mingzong TANG Xinyu WANG Qixin YANG Hongwen YANG Wenwu FENG Qingmeng LONG 《Agricultural Biotechnology》 2025年第6期28-35,39,共9页
[Objectives]This study was conducted to evaluate the immunization efficacy and infection status of classical swine fever(CSF),foot-and-mouth disease(FMD),porcine reproductive and respiratory syndrome(PRRS),pseudorabie... [Objectives]This study was conducted to evaluate the immunization efficacy and infection status of classical swine fever(CSF),foot-and-mouth disease(FMD),porcine reproductive and respiratory syndrome(PRRS),pseudorabies(PR),and porcine circovirus type 2(PCV2)in large-scale pig farms.[Methods]Antibody and pathogen detection was performed on 56 serum samples collected in March 2025.[Results]The antibody qualification rates for CSF,FMD,and PRRS were 76.8%,73.2%,and 76.8%,respectively,all meeting the national standards.However,nursery pigs exhibited an immunity gap,indicating a need for timely booster vaccinations.No PRV gE antibodies or PCV2 antibodies were detected,reflecting the absence of vaccination against these diseases and suggesting significant effectiveness of comprehensive biosecurity measures.The low antibody qualification rate for PRRS in the nursery stage highlights the need for improved immunization management.[Conclusions]This study provides data support and practical insights for integrated disease prevention and control in large-scale pig farms. 展开更多
关键词 Antibody detection Pathogen detection Immune analysis Prevention and control research
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Cascading failure analysis of an interdependent network with power-combat coupling
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作者 WANG Yang TAO Junyong +2 位作者 ZHANG Yun’an BAI Guanghan DUI Hongyan 《Journal of Systems Engineering and Electronics》 2025年第2期405-422,共18页
Cutting off or controlling the enemy’s power supply at critical moments or strategic locations may result in a cascade failure,thus gaining an advantage in a war.However,the exist-ing cascading failure modeling analy... Cutting off or controlling the enemy’s power supply at critical moments or strategic locations may result in a cascade failure,thus gaining an advantage in a war.However,the exist-ing cascading failure modeling analysis of interdependent net-works is insufficient for describing the load characteristics and dependencies of subnetworks,and it is difficult to use for model-ing and failure analysis of power-combat(P-C)coupling net-works.This paper considers the physical characteristics of the two subnetworks and studies the mechanism of fault propaga-tion between subnetworks and across systems.Then the surviv-ability of the coupled network is evaluated.Firstly,an integrated modeling approach for the combat system and power system is predicted based on interdependent network theory.A heteroge-neous one-way interdependent network model based on proba-bility dependence is constructed.Secondly,using the operation loop theory,a load-capacity model based on combat-loop betweenness is proposed,and the cascade failure model of the P-C coupling system is investigated from three perspectives:ini-tial capacity,allocation strategy,and failure mechanism.Thirdly,survivability indexes based on load loss rate and network sur-vival rate are proposed.Finally,the P-C coupling system is con-structed based on the IEEE 118-bus system to demonstrate the proposed method. 展开更多
关键词 cascading failure survivability analysis interdepen-dent network power-combat(P-C)coupling.
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An integrated multi-scale approach for transient analysis of multi-well horizontal pad with well interference in shale gas reservoirs: Methodology and case study
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作者 Hong-Yang Chu Si-Dong Fang +4 位作者 Zhi-Qiang Ren Jian-Dong Zou Ran Bi Wei-Yao Zhu W.John Lee 《Petroleum Science》 2025年第3期1155-1170,共16页
Shale gas, as a clean, low-carbon, and abundant unconventional natural gas resource, plays a crucial role in achieving clean energy transformation and carbon neutrality. The Fuling shale gas reservoir in Sichuan Basin... Shale gas, as a clean, low-carbon, and abundant unconventional natural gas resource, plays a crucial role in achieving clean energy transformation and carbon neutrality. The Fuling shale gas reservoir in Sichuan Basin stands out as China's most promising area for shale gas exploration and recovery. However, the continuous recovery of shale gas in the southern Sichuan Basin has led to well interference events in hundreds of wells, with the furthest well distance reaching over 2000 m. This study introduces a multi-scale approach for transient analysis of a multi-well horizontal pad with well interference in shale gas reservoirs. The approach utilizes Laplace transform technology, boundary element theory, and the finite difference method to address the complexities of the system. Well interference is managed using the pressure superposition principle. To validate the proposed multi-scale method, a commercial numerical simulator is employed. The comprehensive pressure behavior of a multi-well horizontal pad in a shale gas reservoir is analyzed, encompassing wellbore storage effect, skin effect, bilinear flow, linear flow, pseudo-radial flow of primary fractures, well interference period, dual-porosity flow, pseudo-radial flow of the total system, and boundary-dominated flow. A case study is conducted on the typical well, the well with the longest production history in the Fuling shale gas reservoir. The rate transient analysis is conducted to integrate up to 229 days of shale gas production daily data and wellhead pressure data, enabling the generation of pressure behavior under unit flow rate. The results indicate that the linear flow, transitional flow, and boundary-dominated flow are more likely to be observed in the actual data. Secondary fractures are considered to be the primary pathways for fluid migration during well interference events. The evaluated formation permeability is 2.58 × 10^(-2) mD, the well spacing is 227.8 m, the diffusion coefficient is 1.49 × 10^(-4), and the skin factor is 0.09. 展开更多
关键词 Multi-well horizontal pad Well interference Shale gas reservoir Multi-scale approach Transient analysis
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Emotional and semantic analysis of landscape elements in heritage parks:insights from social media data on visitor perception
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作者 SiYi Ren Xiaolong Chen 《Built Heritage》 2025年第3期60-79,共20页
Heritage parks preserve cultural heritage while contributing to education,recreation,and sustainable urban development.However,the relationships between landscape elements and visitors'emotional responses remain u... Heritage parks preserve cultural heritage while contributing to education,recreation,and sustainable urban development.However,the relationships between landscape elements and visitors'emotional responses remain underexplored.This study aims to bridge this gap by analysing social media reviews to understand how various landscape elements in heritage parks influence emotional experiences,offering insights for enhancing park services and promoting practical cultural heritage preservation.Using data from 63,288 visitor reviews(2018–2023)across five major social media platforms,this research focuses on five heritage parks in Xi'an as case studies.By employing latent Dirichlet allocation(LDA)topic modelling,sentiment analysis,and social network analysis(SNA),we identified five key categories of landscape elements:cultural landscapes,biological and natural environments,framework and service facilities,special activities,and architecture and infrastructure.Sentiment analysis revealed that cultural landscapes elicited the highest positive emotional response score(64.9%),reflecting their historical and aesthetic significance.Framework and service facilities had the highest emotional intensity score(8.09),emphasising their functional role in enhancing visitor satisfaction.In contrast,the biological and natural environments presented weaker emotional appeal(6.86).This study provides a novel framework linking emotional responses to specific landscape features,offering practical guidance for optimising heritage park management and supporting the preservation and promotion of cultural heritage. 展开更多
关键词 Heritage Tourism Heritage Park Emotional analysis Social media text data Landscape elements
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Statistics and Development Analysis of Urban Rail Transit in China by the End of 2025
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作者 WANG Fuwen LIANG Shuaiwen FENG Aijun 《隧道建设(中英文)》 北大核心 2026年第2期437-444,I0005-I0012,共16页
First,statistics on the operational lines and mileage of urban rail transit in China are conducted.The results show that,as of Dec.31,2025,there were 60 cities with urban rail transit in operation nationwide,with a to... First,statistics on the operational lines and mileage of urban rail transit in China are conducted.The results show that,as of Dec.31,2025,there were 60 cities with urban rail transit in operation nationwide,with a total operational mileage of approximately 12837.8 km(excluding the electronic guideway rubber-tired system,there were 57 cities,with a total operational mileage of 12651.6 km).The metro system dominates,while low-capacity systems exhibit a multi-modal development pattern.Subsequently,the characteristics of China′s urban rail transit industry development are analyzed,indicating that:(1)It should closely align with the theme of urban intensive development,promote quality improvement and efficiency enhancement of existing lines,and focus on the supporting role of initial passenger flow for new line construction,multi-network integration,and economic and financial sustainability.(2)Significant innovative achievements have been made in safety resilience,green and low-carbon development,intelligent construction,and digital transformation.Finally,development recommendations for the"15th Five-Year Plan"period are proposed:promoting cost reduction and efficiency improvement in the rail transit industry,enhancing the operational efficiency of existing networks,continuously exploring railway services for urban commuting,strengthening external exchanges,and driving the"going global"strategy of the urban rail transit industry. 展开更多
关键词 rail transit operational lines data statistics development analysis
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Crystal structure,thermal analysis,and luminescence properties of six heterocyclic lanthanide complexes
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作者 SONG Zihe ZHAO Jinjin +1 位作者 REN Ning ZHANG Jianjun 《无机化学学报》 北大核心 2026年第1期181-192,共12页
Six new lanthanide complexes:[Ln(3,4-DEOBA)3(4,4'-DM-2,2'-bipy)]2·2C_(2)H_(5)OH,[Ln=Dy(1),Eu(2),Tb(3),Sm(4),Ho(5),Gd(6);3,4-DEOBA-=3,4-diethoxybenzoate,4,4'-DM-2,2'-bipy=4,4'-dimethyl-2,2'... Six new lanthanide complexes:[Ln(3,4-DEOBA)3(4,4'-DM-2,2'-bipy)]2·2C_(2)H_(5)OH,[Ln=Dy(1),Eu(2),Tb(3),Sm(4),Ho(5),Gd(6);3,4-DEOBA-=3,4-diethoxybenzoate,4,4'-DM-2,2'-bipy=4,4'-dimethyl-2,2'-bipyridine]were successfully synthesized by the volatilization of the solution at room temperature.The crystal structures of six complexes were determined by single-crystal X-ray diffraction technology.The results showed that the complexes all have a binuclear structure,and the structures contain free ethanol molecules.Moreover,the coordination number of the central metal of each structural unit is eight.Adjacent structural units interact with each other through hydrogen bonds and further expand to form 1D chain-like and 2D planar structures.After conducting a systematic study on the luminescence properties of complexes 1-4,their emission and excitation spectra were obtained.Experimental results indicated that the fluorescence lifetimes of complexes 2 and 3 were 0.807 and 0.845 ms,respectively.The emission spectral data of complexes 1-4 were imported into the CIE chromaticity coordinate system,and their corre sponding luminescent regions cover the yellow light,red light,green light,and orange-red light bands,respectively.Within the temperature range of 299.15-1300 K,the thermal decomposition processes of the six complexes were comprehensively analyzed by using TG-DSC/FTIR/MS technology.The hypothesis of the gradual loss of ligand groups during the decomposition process was verified by detecting the escaped gas,3D infrared spectroscopy,and ion fragment information detected by mass spectrometry.The specific decomposition path is as follows:firstly,free ethanol molecules and neutral ligands are removed,and finally,acidic ligands are released;the final product is the corresponding metal oxide.CCDC:2430420,1;2430422,2;2430419,3;2430424,4;2430421,5;2430423,6. 展开更多
关键词 lanthanide complexes fluorescence property crystal structure thermal analysis
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Study on the Evaluation Methodology of Landslide Susceptibility Based on Spatial-scale Analysis
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作者 Zijing Lin Jian Tang +2 位作者 Yiling Dai Bing Luo Anqi Chen 《Journal of World Architecture》 2025年第1期47-52,共6页
Landslides are significant natural geological hazards.Landslide susceptibility evaluation involves the quantitative assessment and prediction of potential landslide locations and their probabilities.Research has explo... Landslides are significant natural geological hazards.Landslide susceptibility evaluation involves the quantitative assessment and prediction of potential landslide locations and their probabilities.Research has explored susceptibility assessment methods based on spatial-scale analysis.This evaluation integrates two models—global and local scale—using a CNN model and a PSO-CNN coupled model.Key aspects include selecting evaluation factors and optimizing model parameters for landslide susceptibility at different scales.A major focus of current landslide research is utilizing prediction results to enhance prevention and control measures. 展开更多
关键词 Landslide susceptibility evaluation Spatial-scale analysis Lixian county Geographical weighted regression Particle swarm algorithm
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Determination of Trophic Levels of Marine Fish Using Stable Isotope Analysis of Fish Scale Nitrogen(δ15N)in the Yellow Sea and Northern East China Sea
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作者 BAI Huaiyu HUANG Lingfeng SUN Yao 《Journal of Ocean University of China》 2025年第3期735-744,共10页
Fish scaleδ^(15)N(δ^(15)N_(sca))records trophic information of the whole life history for marine fishes.Data from gut content and values calculated from white muscle tissue(WMT)are insufficient for assessing trophic... Fish scaleδ^(15)N(δ^(15)N_(sca))records trophic information of the whole life history for marine fishes.Data from gut content and values calculated from white muscle tissue(WMT)are insufficient for assessing trophic level(TL)of marine fishes as they only provide the information of several months or even several days.Stable isotope analysis(SIA)of nitrogen was carried out in fish scales and WMT of 16 species from a total of 28 individuals captured from the Yellow Sea and northern East China Sea in October and November of 2019,aiming at discovering the correlation betweenδ^(15)N_(sca) and fish WMTδ^(15)N(δ^(15)NWMT),so as to useδ^(15)N_(sca) for the characterization of TLs of marine fish.Scales were analyzed without prior carbonate dissolution as a pre-processing step.TL calculated fromδ^(15)N_(sca) was compared to traditional TL formula calculated withδ^(15)N_(WMT) to estimate the accuracy.We found that there was a highly significant and positive correlation(r=0.830,P<0.001)betweenδ^(15)N_(sca) andδ^(15)N_(WMT).TL calculation results using fish scale(TL_(sca))and WMT(TL_(WMT))showed congruence(r=0.773,P<0.001),and the regression coefficient betweenδ^(15)N_(sca) andδ^(15)NWMT was used for calculating TLsca.The conversion was conducted for the purpose of comparison with previousδ^(15)N_(WMT)-based calculation results of TL.TLsca calculation results were 81.25%within the TL range of±10%calculated withδ^(15)NWMT.The findings in the present study showed thatδ^(15)N_(sca) is a viable technique for the characterization of the TL of marine fish and can help to predict food web and support the study of marine ecosystem. 展开更多
关键词 fish scale stable isotope analysis trophic level Yellow Sea northern East China Sea
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A Deep Learning Approach for Fault Diagnosis in Centrifugal Pumps through Wavelet Coherent Analysis and S-Transform Scalograms with CNN-KAN
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作者 Muhammad Farooq Siddique Saif Ullah Jong-Myon Kim 《Computers, Materials & Continua》 2025年第8期3577-3603,共27页
Centrifugal Pumps(CPs)are critical machine components in many industries,and their efficient operation and reliable Fault Diagnosis(FD)are essential for minimizing downtime and maintenance costs.This paper introduces ... Centrifugal Pumps(CPs)are critical machine components in many industries,and their efficient operation and reliable Fault Diagnosis(FD)are essential for minimizing downtime and maintenance costs.This paper introduces a novel FD method to improve both the accuracy and reliability of detecting potential faults in such pumps.Theproposed method combinesWaveletCoherent Analysis(WCA)and Stockwell Transform(S-transform)scalograms with Sobel and non-local means filters,effectively capturing complex fault signatures from vibration signals.Using Convolutional Neural Network(CNN)for feature extraction,the method transforms these scalograms into image inputs,enabling the recognition of patterns that span both time and frequency domains.The CNN extracts essential discriminative features,which are then merged and passed into a Kolmogorov-Arnold Network(KAN)classifier,ensuring precise fault identification.The proposed approach was experimentally validated on diverse datasets collected under varying conditions,demonstrating its robustness and generalizability.Achieving classification accuracy of 100%,99.86%,and 99.92%across the datasets,this method significantly outperforms traditional fault detection approaches.These results underscore the potential to enhance CP FD,providing an effective solution for predictive maintenance and improving overall system reliability. 展开更多
关键词 Fault diagnosis centrifugal pump wavelet coherent analysis stockwell transform convolutional neural network Kolmogorov-Arnold network
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Nonlinear frequency prediction and uncertainty analysis for fully clamped laminates by using a self-developed multi-scale neural networks system
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作者 Yuan LIU Xuan ZHANG +6 位作者 Xibin CAO Jinsheng GUO Zhongxi SHAO Qingyang DENG Pengbo FU Yaodong HOU Haipeng CHEN 《Chinese Journal of Aeronautics》 2025年第9期225-250,共26页
To improve design accuracy and reliability of structures,this study solves the uncertain natural frequencies with consideration for geometric nonlinearity and structural uncertainty.Frequencies of the laminated plate ... To improve design accuracy and reliability of structures,this study solves the uncertain natural frequencies with consideration for geometric nonlinearity and structural uncertainty.Frequencies of the laminated plate with all four edges clamped(CCCC)are derived based on Navier's method and Galerkin's method.The novelty of the current work is that the number of unknowns in the displacement field model of a CCCC plate with free midsurface(CCCC-2 plate)is only three compared with four or five in cases of other exposed methods.The present analytical method is proved to be accurate and reliable by comparing linear natural frequencies and nonlinear natural frequencies with other models available in the open literature.Furthermore,a novel method for analyzing effects of mean values and tolerance zones of uncertain structural parameters on random frequencies is proposed based on a self-developed Multiscale Feature Extraction and Fusion Network(MFEFN)system.Compared with a direct Monte Carlo Simulation(MCS),the MFEFNbased procedure significantly reduces the calculation burden with a guarantee of accuracy.Our research provides a method to calculate nonlinear natural frequencies under two boundary conditions and presentes a surrogate model to predict frequencies for accuracy analysis and optimization design. 展开更多
关键词 Geometric nonlinearity LAMINATES Multiscale feature extraction and fusion networks(MFEFN) Natural frequency Uncertainty analysis
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Cavity ring-down spectroscopy CO gas sensor integrating principal component analysis with savitzky-golay filtering
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作者 GUO Zi-long SHI Cheng-rui +4 位作者 DONG Yuan-yuan ZHANG Lei SUN Xiao-yuan SUN Jing-jing ZHOU Sheng 《中国光学(中英文)》 北大核心 2026年第1期179-189,共11页
The Savitzky-Golay(SG)filter,which employs polynomial least-squares approximations to smooth data and estimate derivatives,is widely used for processing noisy data.However,noise suppression by the SG filter is recogni... The Savitzky-Golay(SG)filter,which employs polynomial least-squares approximations to smooth data and estimate derivatives,is widely used for processing noisy data.However,noise suppression by the SG filter is recognized to be limited at data boundaries and high frequencies,which can significantly reduce the signal-to-noise ratio(SNR).To solve this problem,a novel method synergistically integrating Principal Component Analysis(PCA)with SG filtering is proposed in this paper.This approach avoids the is-sue of excessive smoothing associated with larger window sizes.The proposed PCA-SG filtering algorithm was applied to a CO gas sensing system based on Cavity Ring-Down Spectroscopy(CRDS).The perform-ance of the PCA-SG filtering algorithm is demonstrated through comparison with Moving Average Filtering(MAF),Wavelet Transformation(WT),Kalman Filtering(KF),and the SG filter.The results demonstrate that the proposed algorithm exhibits superior noise reduction capabilities compared to the other algorithms evaluated.The SNR of the ring-down signal was improved from 11.8612 dB to 29.0913 dB,and the stand-ard deviation of the extracted ring-down time constant was reduced from 0.037μs to 0.018μs.These results confirm that the proposed PCA-SG filtering algorithm effectively improves the smoothness of the ring-down curve data,demonstrating its feasibility. 展开更多
关键词 cavity ring-down spectroscopy CO gas sensor principal component analysis Savitzky-Golay filter
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