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Does urban green space form influence the spatial pattern of noise complaints?

Sustainable Cities and Society 2025年 130卷

作者： Xin-Chen Hong Dan-Yin Zhang Fang-Bing Hu Lian-Huan Guo Jiang Liu Huagui Guo School of Architecture and Urban-Rural Planning Fuzhou University Fuzhou 350108 China Department of Landscape Architecture College of Architecture and Urban Planning Tongji University Shanghai 200092 China Laboratory of Smart Habitat for Humanity Fuzhou University Fuzhou 350108 China Fujian Key Laboratory of Digital Technology for Territorial Space Analysis and Simulation Fuzhou University Fuzhou 350108 China

Urban noise has become a significant concern for public health and well-being, prompting growing interest in understanding its spatial patterns and drivers. In the context of quiet city development, this study investigates whether the morphology of urban green spaces influences noise propagation and noise complaint distribution. Taking Fuzhou City, China, as a case study, we investigated the spatial distribution characteristics of green space form metrics and noise complaints. Subsequently, we employed Spearman correlation analysis and the Multiscale Geographically Weighted Regression (MGWR) model to explore their spatiotemporal associations. Results show that: (1) Noise complaint hotspots are concentrated in high-traffic commercial zones, dense residential areas, and construction sites; (2) key green space indicators influencing complaint patterns include the Number of Patches (NP) and Patch Density (PD); (3) Mean Patch Area (MPA) and Radius of Gyration (MRG) contribute to temporal differences, with more aggregated green spaces showing stronger noise buffering effects. These findings highlight the critical role of green space configuration in urban acoustic environments and provide a scientific basis for improving green space planning and noise control strategies in support of healthy and livable cities.

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Watchdog from academia: Do academic independent directors matter for financial statement fraud?

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International Review of Economics & Finance 2025年 101卷

作者： Shigang Wen Jianping Li Chuangxia Huang Xiaoqian Zhu School of Management Guangdong University of Technology Guangzhou 510520 China School of Economics and Management University of Chinese Academy of Sciences Beijing 100190 China MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation at UCAS Beijing 100190 China School of Mathematics and Statistics Changsha University of Science and Technology Changsha 410114 Hunan China Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering Changsha 410114 Hunan China

We examine whether academic independent directors affect financial statement fraud. Using a sample of independent directors’ academic experience data for Chinese public firms, we find a significantly negative relation between academic independent directors and financial statement fraud. This finding is robust after applying various methods to address potential endogeneity concerns. Further analyses suggest that the negative relation between academic independent directors and financial statement fraud is more pronounced when academic independent directors are professors and possess accounting and technological expertise, sit on audit committees, compensation committees, multiple boards, and have relatively low-level compensation. In addition, the negative relation is stronger for non-state-owned firms and firms audited by small auditors. Overall, our findings suggest that academic independent directors are watchdogs for financial statement fraud.

关键词： Academic independent director Financial statement fraud Corporate governance Board committee Professor Compensation G30 G34 M41

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Shock Response in Cage-like Polynitrocubane High-Energy-Density Materials: Competition between Strain Energy and Structural Symmetry

Energetic Materials Frontiers

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Energetic Materials Frontiers 2025年

作者： Qing-guan Song Li Meng Sheng-li Jiang Lei Zhang Ze-yao Mo Institute of Applied Physics and Computational Mathematics Beijing 100088 China CAEP Software Center for High Performance Numerical Simulation Beijing 100088 China Institute of Chemical Materials China Academy of Engineering Physics Mianyang 621999 China School of Materials Science & Engineering Beijing Institute of Technology Beijing 100081 China State Key Laboratory of Explosion Science and Safety Protection Beijing Institute of Technology Beijing 100081 China

The cage-like structures provide a unique combination of strain energy for enhanced energy storage and hyperstatic constraints to stabilize the system, positioning them as promising pioneers in advancing high-energy-density materials (HEDMs). However, the shock response of cage-like HEDMs is highly complex and exhibits significant variability, posing a grand challenge in the underlying mechanisms. This study reveals that the shock response of cage-like HEDMs is regulated by the interplay between strain energy and structural symmetry, and introduces a physical model to quantitatively describe how they determine shock stability. The investigated systems include a comprehensive series of cage-like polynitrocubane HEDMs, with each carbon atom in the backbone progressively functionalized with nitro groups. Ab initio molecular dynamics (AIMD) simulations were employed to simulate dynamic and kinetic responses at shock velocities ranging from 8 km·s -1 to 11 km·s -1 , with validation provided by consistent Hugoniot curves that align with reported experimental data. Nitro groups at the carbon-based cage structure, recognized as explosion functional groups, were found to substantially increase the system's strain energy. However, an increasing number of nitro groups also intensified electrostatic repulsion among oxygen lone pairs, which weakens structural integrity and renders the material more susceptible to disassembly under shock conditions. Conversely, structural symmetry—including both the cage-like molecular conformation and spatial packing within the crystal lattice—was found to mitigate these destabilizing effects, effectively balancing the trade-off between energy storage and structural stability. Based on these findings, we propose a physical model that captures the essential factors driving shock initiation in cage-like polynitrocubane HEDMs, offering new insights to inform the design and application of novel advanced HEDMs.

关键词： shock stability cage-like high-energy-density materials strain energy structural symmetry strain tensor

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A novel approach for developing Ti6Al4V-Cu alloy with exceptional properties using a developed metallic printer of LPBF

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Materials and Design 2025年 254卷

作者： Gu, Qinming Zhang, Zhenyu Zhou, Hongxiu Wang, Dong Gu, Yang Zhao, Baoshan Yan, Lijia Chen, Tao Chen, Leilei Cancer Hospital of Dalian University of Technology Liaoning Cancer Hospital & Institute State Key Laboratory of High-performance Precision Manufacturing Dalian University of Technology Dalian 116024 China Dianxi Research Institute of Dalian University of Technology Baoshan 678000 China School of Mechanical and Electrical Engineering Hainan University Haikou 570228 China School of Energy and Power Engineering Dalian University of Technology Dalian 116024 China Tianjin Key Laboratory of Aerospace Intelligent Equipment Technology Tianjin Key Laboratory of Microgravity and Hypogravity Environment Simulation Technology Tianjin Institute of Aerospace Mechanical and Electrical Equipment Tianjin 300301 China Department of Security Hainan University Haikou 570228 China School of Future Science and Engineering Soochow University Suzhou 215200 China China Yangtze Power Co. Ltd. Yichang 443002 China

Ti6Al4V has no antimicrobial performance, and copper (Cu) is usually added in Ti6Al4V implants. Nevertheless, brittle Ti2Cu will be precipitated, greatly affecting the elongation of Ti6Al4V-Cu. To solve these challeng... 详细信息

Ti6Al4V has no antimicrobial performance, and copper (Cu) is usually added in Ti6Al4V implants. Nevertheless, brittle Ti₂Cu will be precipitated, greatly affecting the elongation of Ti6Al4V-Cu. To solve these challenges, a novel approach is proposed to prepare Ti6Al4V-Cu alloy using a developed metallic printer of laser powder bed fusion (LPBF). At an optimized laser energy density of 39.51 J/mm³ and 1 wt% Cu, the relative density of Ti6Al4V-Cu is 99.7 %. The ultimate tensile strength and compressive strength of prepared Ti6Al4V-Cu are 1382.35 and 1882.13 MPa, respectively, representing increases of 14.4 % and 36.9 % compared to those of Ti6Al4V. Meantime, the friction coefficient and wear rate are 0.39 and 3.99 × 10⁻⁴ mm³/N∙m, decreasing 46.38 % and 38.29 % correspondingly. Furthermore, electrochemical experiments show that the resistance value of passivated film on Ti6Al4V-Cu is 2.19 × 10⁶ Ω·cm², which is 1.38 times that of Ti6Al4V. Cu atoms were dissolved in Ti6Al4V matrix, leading to the decomposition of the Ti₂Cu phase. The improvement of mechanical, tribological and corrosion resistance properties is attributed to grain refinement, solution strengthening, grain boundary strengthening and decomposition of Ti₂Cu. Our findings provide new insights to prepare Ti6Al4V-Cu with outstanding properties using LPBF, which has bright prospect in aerospace and medical restorations. © 2025 The Author(s)

关键词： Corrosion resistance Laser powder bed fusion Mechanical performance Ti6Al4V-Cu Tribological property

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Regional coverage monitoring planning technology for multi-UAV based on pruning PSO 2nd

Regional coverage monitoring planning technology for multi-U...

引用

2nd International Conference on Smart Vehicular technology, Transportation, Communication and Applications, VTCA 2018

作者： Wang, KaiXuan Shen, YuTing Zhang, FuQuan Liang, Zhuo Song, ZhiGuo Pan, YanPeng China Academy of Launch Vehicle Technology Beijing100076 China The 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang050000 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China Digital Performance and Simulation Technology Lab School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9783030045845

In recent years, with the application and gradual popularization of UAV technology in many fields, the normalization of UAV aerial photography has become a common phenomenon. There are few studies on Multi-UAV regional coverage monitoring. In this study, PSO algorithm based on pruning can be used to solve optimization problem, the multi-agent technology solve the problem of UAV group for self-perception and decision-making, the UAV group, namely multi-agent particles, can automatically initialize the perception agent particle whether meet the requirements of the iteration, whether to need to be pruned, and decide to optimize the iteration or increase the agent number, Finally, simulation verification shows that the optimized algorithm can finish the work faster under the premise of guaranteeing the effect. © Springer Nature Switzerland AG 2019.

关键词： Unmanned aerial vehicles (UAV)

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Fast prediction of viscoelastic behavior of 3D tubular braided composites based on deep learning

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Composite Structures 2025年

作者： Yuyang Zhang Huimin Li Baosheng Liu Ruishen Lou Yulin Wang Institute of Advanced Structure Technology Beijing Institute of Technology Beijing 100081 China Beijing Key Laboratory of Lightweight Multi-functional Composite Materials and Structures Beijing Institute of Technology Beijing 100081 China Beijing Spacecrafts China Academy of Space Technology Beijing 100094 China CAEP Software Center for High Performance Numerical Simulation Beijing 100088 China Institute of Applied Physics and Computational Mathematics Beijing 100088 China China North Vehicle Research Institute Beijing 100072 China

Rapidly and accurately calculating the macroscopic viscoelastic properties of three-dimensional (3D) tubular braided composites is of great practical significance for their structural design and optimization. This study proposes a data-driven approach combined with trans -scale modeling to predict the axial compressive viscoelastic properties of 3D tubular braided composites. First, the viscoelastic constitutive relations for the matrix and the yarn are established, and the trans -scale finite element model of the 3D tubular braided composites is constructed based on micro-CT technology to calculate the viscoelastic curves and perform experimental validation. Then, a deep neural network (DNN) model integrated with an automatic hyperparameter optimization algorithm is built to train and test the simulation dataset generated by the finite element model, and finally the axial compression relaxation modulus curves of 3D tubular braided composites with different parameters (braiding angle, fiber eccentricity, inter-yarn porosity, intra-yarn porosity, temperature, total fiber volume fraction and fiber elastic modulus) are predicted. The results show that the developed data-driven model based on finite element and deep learning can quickly and accurately predict the macroscopic viscoelastic properties of 3D tubular braided composites.

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Landslides identification along ultra-high voltage transmission channels in the three gorges reservoir area using time series inSAR 41

Landslides identification along ultra-high voltage transmiss...

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41st Asian Conference on Remote Sensing, ACRS 2020

作者： Zhang, Lingqi Xie, Chou Chen, Mi Zhang, Yunjun Tian, Bangsen College of Resource Environment and Tourism Capital Normal University Cultivation Base of State Key Laboratory of Urban Environmental Process and Digital Simulation Key Laboratory of 3D Information Acquisition and Application Ministry of Education Beijing Laboratory of Water Resources Security Haidian District Beijing100048 China Aerospace Information Research Institute Chinese Academy of Sciences 20 Datun road Chaoyang District Beijing100101 China Laboratory of Target Microwave Properties Deqing Academy of Satellite Applications Tashan Road Deqing County Huzhou City Zhejiang Province313200 China Seismological Laboratory California Institute of Technology PasadenaCA91125 United States

ISBN: (纸本)9781713829089

Landslides threaten the safety of Ultra-High Voltage (UHV) transmission channels in its vicinity. Due to the wide range with long lines and usually passing through many areas with harsh environmental conditions, complex geology, and changing climates，manual monitoring and inspection is difficult. Space-borne Interferometric Synthetic Aperture (InSAR) is a potentially feasible and economic monitoring approach. The Three Gorges Reservoir hosts over 10,000 UHV transmission towers. The complex topography and geological conditions and abundant annual precipitation, contribute to frequent natural disasters in the Three Gorges Reservoir including landslide. Therefore, the early identification of potential landslides in UHV transmission channels is particularly important. However, dense vegetation and complex terrain in the Three Gorges Reservoir pose challenges for time-series InSAR processing. In this study, we collected 59 Sentinel-1 data covering the area from Wanzhou to Badong in the Three Gorges Reservoir area between June 2018 and April 2020 recently proposed workflow of small baseline InSAR to investigate the landslide hazard. The new workflow can be split into two steps: i) invert network of interferograms for raw phase time-series and ii) separate tropospheric delay, topographic residual, timing error, and orbital error from raw phase time-series to derive the displacement time-series(Yunjun et al. 2019). We identified 16 potential landslides within the buffer of 5km around the transmission channel from the result of InSAR-derived displacements. To assess the accuracy of the InSAR results, we compared time-series cumulative displacement from BeiDou Navigation Satellite System (BDS) sites with InSAR results and found that the discrepancy between BDS displacements and InSAR results are within 10mm on most dates with a mean difference of ±3 mm and the standard deviation (std) of the discrepancies is ±8 mm. © 2020 ACRS 2020 - 41st Asian Conference on Remote Sensing. A

关键词： Landslides

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Optimization and performance Modeling of Stencil Computations on ARM Architectures

Optimization and Performance Modeling of Stencil Computation...

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IEEE International Conference on High performance Computing and Communications (HPCC)

作者： Kaifang Zhang Huayou Su Peng Zhang Yong Dou National Key Laboratory for Parallel and Distribution Processing National University of Defense Technology Changsha China CAEP Software Center for High Performance Numerical Simulation Beijing China Institute of Applied Physics and Computational Mathematics Beijing China

Stencil Computation has long been an omnipresent kernel of a wide range of scientific and engineering applications. There is much work investigating the stencil performance on x86 processors and accelerators such as GPU. Meanwhile, ARM processors for HPC have been highlighted more and more with Fugaku of Japan becoming the first number one system on the TOP-500 list. In this paper, we focus on modeling and optimizing the performance of stencil computation on ARM architectures. Specifically, we proposed a performance model for stencil computation based on tiling optimization to guide the optimal configuration of tiling parameters for good cache reuse. We validate the proposed model with the performance Monitor Unit (PMU) provided by the ARM processor. Experimental results show that the prediction error of the execution time can be lower to 1.37%. Furthermore, we can achieve a maximum of 1.26 × speedup compared to the naive implementation according to the optimization parameters provided from the model.

关键词： Computational modeling High performance computing Conferences Graphics processing units Computer architecture Phasor measurement units Kernel

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A local character based method for solving linear systems of radiation diffusion problemsI

arXiv

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arXiv 2020年

作者： Ye, Shuai An, Hengbin Xu, Xinhai State Key Laboratory of High Performance Computing National University of Defense Technology Changsha410073 China Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Beijing100094 China CAEP Software Center for High Performance Numerical Simulation Beijing100088 China Artificial Intelligence Research Center National Innovation Institute of Defense Technology Beijing100071 China

The radiation diffusion problem is a kind of time-dependent nonlinear equations. For solving the radiation diffusion equations, many linear systems are obtained in the nonlinear iterations at each time step. The cost of linear equations dominates the numerical simulation of radiation diffusion applications, such as inertial confinement fusion, etc. Usually, iterative methods are used to solve the linear systems in a real application. Moreover, the solution of the previous nonlinear iteration or the solution of the previous time step is typically used as the initial guess for solving the current linear equations. Because of the strong local character in ICF, with the advancing of nonlinear iteration and time step, the solution of the linear system changes dramatically in some local domain, and changes mildly or even has no change in the rest domain. In this paper, a local character-based method is proposed to solve the linear systems of radiation diffusion problems. The proposed method consists of three steps: Firstly, a local domain (algebraic domain) is constructed;secondly, the subsystem on the local domain is solved;and lastly, the whole system will be solved. Two methods are given to construct the local domain. One is based on the spatial gradient, and the other is based on the residual. Numerical tests for a two-dimensional heat conduction model problem, and two real application models, the multi-group radiation diffusion equations and the three temperature energy equations, are conducted. The test results show that the solution time for solving the linear system can be reduced dramatically by using the local character-based method. Copyright © 2020, The Authors. All rights reserved.

关键词： Linear systems

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Publisher Correction: Increasing severity of large-scale fires prolongs recovery time of forests globally since 2001

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Nature ecology & evolution 2025年 2025 May 6页

作者： Qiancheng Lv Ziyue Chen Chaoyang Wu Josep Peñuelas Lei Fan Yongxian Su Zeyu Yang Manchun Li Bingbo Gao Jianqiang Hu Chaoqun Zhang Yuheng Fu Qiao Wang State Key Laboratory of Remote Sensing and Digital Earth Faculty of Geographical Science Beijing Normal University Beijing China. State Key Laboratory of Remote Sensing and Digital Earth Faculty of Geographical Science Beijing Normal University Beijing China. zychen@***. The Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China. wucy@***. CSIC Global Ecology Unit CREAF-CSIC-UAB Barcelona Spain. School of Geographical Sciences Southwest University Chongqing China. State Key Laboratory for Ecological Security of Regions and Cities Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing China. School of Geography and Ocean Science Nanjing University Nanjing China. College of Land Science and Technology China Agricultural University Beijing China.

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