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arXiv 2021年

作者： Zhang, X. Huang, Y. Lin, W. Liu, Xingquan Zheng, H. Wada, R. Bonasera, A. Chen, Z. Chen, L. Han, J. Han, R. Huang, M. Hu, Q. Leng, Q. Ma, C.W. Qu, G. Ren, P. Tian, G. Xu, Z. Yang, Z. Zhang, L. Key Laboratory of Radiation Physics and Technology The Ministry of Education Sichuan University Chengdu610064 China School of Physics and Information Technology Shaanxi Normal University Xi’an710119 China Cyclotron Institute Texas A&M University College StationTX77843 United States Laboratori Nazionali del Sud INFN via Santa Sofia 62 Catania95123 Italy Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China College of Physics and Electronics information Inner Mongolia University for Nationalities Tongliao028000 China School of Physics Henan Normal University Xinxiang453007 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China School of Information Sciences and Engineering Lanzhou University Lanzhou730000 China

A deep learning based method with the convolutional neural network (CNN) algorithm for determining the impact parameters is developed using the constrained molecular dynamics model simulations, focusing on the heavy-ion collisions at the low-intermediate incident energies from several ten to one hundred MeV/nucleon in which the emissions of heavy fragments with the charge numbers larger than 3 become crucial. To make the CNN applicable in the task of the impact parameter determination at the present energy range, specific improvements are made in the input selection, the CNN construction and the CNN training. It is demonstrated from the comparisons of the deep CNN method and the conventional methods with the impact parameter-sensitive observables, that the deep CNN method shows better performance for determining the impact parameters, especially leading to the capability of providing better recognition of the central collision events. With a proper consideration of the experimental filter effect in both training and testing processes to keep consistency with the actual experiments, the good performance of the deep CNN method holds, and shows significantly better in terms of predicting the impact parameters and recognizing the central collision events, compared to that of the conventional methods, demonstrating the superiority of the present deep CNN method. The deep CNN method with the consideration of the filter effect is applied in the deduction of nuclear stopping power. Higher accuracy for the stopping power deduction is achieved benefitting from the better impact parameter determination using the deep CNN method, compared to using the the conventional methods. This result reveals the importance to select a reliable impact parameter determination method in the experimental deduction of the nuclear stopping power as well as other observables. © 2021, CC BY.

关键词： Molecular dynamics

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Retraction Note: Advanced artificial intelligence in heart rate and blood pressure monitoring for stress management

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Journal of Ambient Intelligence and Humanized Computing 2024年第1期15卷 255-255页

作者： Lin, Qiang Li, Tongtong Shakeel, P. Mohamed Samuel, R. Dinesh Jackson School of Mathematics and Computer Science Northwest Minzu University LanzhouGansu China Key Laboratory of Streaming Data Computing Technologies and Application Northwest Minzu University LanzhouGansu China Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education Northwest Minzu University LanzhouGansu China Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka (UTeM) Durian Tunggal Malaysia Faculty of Technology Design and Environment Visual Artificial Intelligence Lab Oxford Brookes University Oxford UK

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False positive eliminating using frame association information 2019

False positive eliminating using frame association informati...

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3rd International Conference on Innovation in Artificial Intelligence, ICIAI 2019

作者： Zhu, Yuhu Wei, Xiaopeng Yi, Pengfei Zhang, Qiang Zhou, Dongsheng Yang, Deyun Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian116024 China College of Computer Science and Technology Dalian University of Technology Dalian116024 China School of Information Science and Technology Taishan University Tai'an Shandong Province271000 China

ISBN: (纸本)9781450361286

As a fundamental technology of human motion analysis, video based pose estimation has attracted more and more attention of researchers. While most mainstream methods treated videos as a collection of unrelated frames, random false positives caused by light and shadow changes will bring greater uncertainty to the results of human body estimation. To eliminate these false positives in multi-person 2D pose estimation, a method of multi-person 2D pose estimation using the time-space relationship of adjacent frames is proposed. At first, Frame Association Information(FAI) is defined to represent the relationship between person objects in adjacent frames, which contents similarity of position, size and poses. Then, a method of false positives eliminating is designed using FAIs between frames, which can identify and remove false positives in frames according to their similarities to human objects in a benchmark frame. The following experiments show the effectiveness of our method. © 2019 Association for Computing Machinery.

关键词： Information use

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The Investigation of Removal and Mechanism by Different Permeable Paving Systems on Runoff Pollutants

SSRN

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SSRN 2024年

作者： Zhang, Ziyang Yang, Ying Li, Zhifei Chen, Hongrui Zhang, Xiaoran Gong, Yongwei Tan, Chaohong Li, Haiyan Key Laboratory of Urban Stormwater System and Water Environment Ministry of Education Beijing University of Civil Engineering and Architecture Beijing102616 China Beijing Energy Conservation & Sustainable Urban and Rural Development Provincial Ministry Co-construction Collaboration Innovation Center Beijing100044 China Beijing General Municipal Engineering Design ＆ Research Institute Co. Ltd Beijing100082 China CRRC Environmental Science & Technology Cooperation Beijing100067 China Beijing Engineering Research Center of Sustainable Urban Sewage System Construction and Risk Control Beijing University of Civil Engineering and Architecture Beijing100044 China

In order to investigate the runoff pollutant control effects by different types of permeable paving systems (PPS), Porous asphalt (PA), Porous concrete (PC), Cement brick (CTB), Ceramic brick (CCB), Sand base brick (SBB) and Shale brick (SB) were selected. The removal effects and mechanisms of six PPS and individual filler layer on chemical oxygen demand (COD), ammonia nitrogen (NH4+-N), nitrate nitrogen (NO3-N), total nitrogen (TN) and total phosphorus (TP)were investigated. Studies have shown that the removal of runoff pollutants varies widely among different PPS. PA had the best removal effect for nearly all runoff pollutants, which the maximum removal rate was 100% for both COD and NH4+-N. Permeable bricks could effectively control on NO3-N and TN pollutants, which the best removal efficiency were more than 94% for SB. Compared with other runoff pollutants, PC was more effective in removing TP with a removal rate of 95.8%. Furthermore, compared with surface material, base layer, subbase layer and soil layer were the most effective in controlling pollution in runoff, which the removal rate were more than 80%. Due to the deeper length, pollutants in runoff could contact with filler longer time and increased the removal efficiency. At the same time, graded gravel and medium sand have a stronger adsorption capacity for pollutants in runoff, resulting in a better purification. This study provides theoretical and practical significance not only for runoff pollution control, but also for the design and use of PPS in runoff. © 2024, The Authors. All rights reserved.

关键词： Fillers

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An iterative method for the solution of equilibrium position in the shaft-hole assembly based on spring contact model 8

An iterative method for the solution of equilibrium position...

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8th CIRP Conference of Assembly technology and Systems, CATS 2020

作者： Zhang, Yuanyang Guo, Junkang Gao, Xianming Hong, Jun School of Mechanical Engineering Xi'An Jiaotong University Xi'an Shaanxi710049 China Key Laboratory for Modern Design and Rotor-Bearing System Ministry of Education Xi'An Jiaotong University Xi'an Shaanxi710049 China College of Mechanical and Electrical Engineering Shaanxi University of Science and Technology Xi'an710021 China

The traditional finite element method has the advantages of strong versatility and high calculation accuracy. Thus it is widely applied in various numerical simulation problems. Although the traditional finite element method for solving the shaft-hole assembly problem can obtain better solution accuracy, the process of modeling and calculation take a long time and thus cannot meet the engineering application requirements when the equilibrium position after the assembly needs to be obtained quickly to guide the subsequent process. In this paper, an iterative method based on the spring contact model is proposed. Firstly, the actual form error of the shaft and hole is characterized by the Fourier series expansion method;Then, in the contact surface, we established a discrete spring contact model and obtained the equivalent stiffness of the coupling spring through the discrete solid model. The balance iterative calculation based on the form errors and contact deformation force can finally determine the equilibrium position after the assembly. Compared with the calculation results of the finite element model, the equilibrium position of the shaft-hole assembly can be quickly solved under the condition of sacrificing certain precision. From this aspect it can be estimated that this method has a good potential for engineering application. © 2020 The Author(s).

关键词： Assembly

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Novel Smart N95 Filtering Facepiece Respirator with Real-time Adaptive Fit Functionality and Wireless Humidity Monitoring for Enhanced Wearable Comfort

arXiv

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arXiv 2023年

作者： Kwon, Kangkyu Lee, Yoon Jae Jung, Yeongju Soltis, Ira Choi, Chanyeong Na, Yewon Romero, Lissette Kim, Myung Chul Rodeheaver, Nathan Kim, Hodam Lloyd, Michael S. Zhuang, Ziqing King, William Xu, Susan Ko, Seung-Hwan Lee, Jinwoo Yeo, Woon-Hong School of Electrical and Computer Engineering College of Engineering Georgia Institute of Technology AtlantaGA30332 United States Center for Human-Centric Interfaces and Nanoengineering Institute for Electronics and Nanotechnology Georgia Institute of Technology AtlantaGA30332 United States Applied Nano and Thermal Science Lab Department of Mechanical Engineering Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology AtlantaGA30332 United States School of Industrial Design Georgia Institute of Technology AtlantaGA30332 United States Division of Cardiology Emory University School of Medicine AtlantaGA30322 United States National Institute for Occupational Safety and Health National Personal Protective Technology Laboratory PittsburghPA15236 United States Seoul National University Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of Department of Mechanical Robotics and Energy Engineering Dongguk University 30 Pildongro 1-gil Jung-gu Seoul04620 Korea Republic of Wallace H. Coulter Department of Biomedical Engineering Parker H. Petit Institute for Bioengineering and Biosciences Neural Engineering Center Institute for Materials Institute for Robotics and Intelligent Machines Georgia Institute of Technology AtlantaGA30332 United States

The widespread emergence of the COVID-19 pandemic has transformed our lifestyle, and facial respirators have become an essential part of daily life. Nevertheless, the current respirators possess several limitations such as poor respirator fit because they are incapable of covering diverse human facial sizes and shapes, potentially diminishing the effect of wearing respirators. In addition, the current facial respirators do not inform the user of the air quality within the smart facepiece respirator in case of continuous long-term use. Here, we demonstrate the novel smart N-95 filtering facepiece respirator that incorporates the humidity sensor and pressure sensory feedback-enabled self-fit adjusting functionality for the effective performance of the facial respirator to prevent the transmission of airborne pathogens. The laser-induced graphene (LIG) constitutes the humidity sensor, and the pressure sensor array based on the dielectric elastomeric sponge monitors the respirator contact on the user’s face, providing the sensory information for a closed-loop feedback mechanism. As a result of the self-fit adjusting mode along with elastomeric lining, the fit factor is increased by 3.20 and 5 times at average and maximum respectively. We expect that the experimental proof-of-concept of this work will offer viable solutions to the current commercial respirators to address the *** Codes 92C55 Copyright © 2023, The Authors. All rights reserved.

关键词： Graphene

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Research on Crack Propagation and Critical Water Pressure of Basalt Under Hydraulic Coupling

Research on Crack Propagation and Critical Water Pressure of...

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作者： Daming Tang Hai Quan Xinkai Yu Qizhong Xu Zeqi Zhu Chengdu Survey Design and Research Institute Co.Ltd.China Power Construction Group College of Architecture and Civil Engineering Shenyang University of Technology State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of Science

Hydraulic coupling triaxial test and acoustic emission test were carried out for Xiluodu *** test results show that the peak strength of basalt increases with the increase of confining pressure,showing a typical hard brittle *** the confining pressure remains unchanged,the peak strength decreases gradually with the increase of initial water pressure,and the hard brittleness decreases;Increasing the initial water pressure can promote the propagation of rock cracks,and the cumulative count of acoustic emission increases significantly with the increase of water *** the combined action of water pressure in the hole and external stress,the tensile failure occurs first and mainly in the internal cracks of ***,the functional relationship among crack initiation stress,confining pressure and water pressure is obtained through theoretical derivation and three-dimensional spatial data *** this basis,the empirical relationship between critical water pressure,confining pressure and water pressure is *** correlation is consistent with the test results,which has a good reference value for the study of critical water pressure of basalt crack propagation under hydraulic coupling.

关键词： Hydraulic coupling Acoustic emission Crack propagation Crack initiation stress Critical water pressure

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Spontaneous surface plasmon polariton decay of band-edge excitons in quantum dots near a metal surface

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Physical Review B 2021年第3期103卷 035416-035416页

作者： Qiang Gao Zhi Lin Xiaoguang Li Zhenyu Zhang Institute for Advanced Study Shenzhen University Shenzhen 518060 China International Center for Quantum Design of Functional Materials (ICQD) Hefei National Laboratory for Physical Sciences at the Microscale and Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of China Hefei Anhui 230026 China Department of Physics University of Texas at Austin Austin Texas 78712 USA

Surface plasmon polaritons (SPPs) due to their subwavelength nature could significantly modify electronic transition behaviors in various optoelectronic systems. Here, using a model system with a spherical quantum dot (QD) close to a flat metal surface, we show that the conventional forbidden optical transitions in a QD could be largely enabled by the spontaneous SPP decay. The electronic states of the QD are approximated by a Bloch state combined with wave functions in a spherical potential well, which provides multiple hole states with mixed electronic multipoles. Moreover, the SPP is quantized by using a canonical quantization scheme followed by a Green's function approach to introduce its dissipation. In particular, we find that when the SPP dissipation is included, the spontaneous decay of the corresponding QD exciton is dominant by the transition into the off-resonance mode of SPPs with large momenta. Also, we have studied the dependence of spontaneous decay rates on the size and crystal orientation of a QD, the distance between the QD and metal surface, and the linewidth of SPPs. Some useful scaling relations have been revealed, and the multipole transitions are found to be comparable with the dipole transition under specific system parameters. These findings have important implications for our understanding of the electronic transition at a metal near field and might prove instrumental for the future design of plasmonic and QD devices.

关键词： Plasmonics Surface plasmon polariton Quantum dots

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Fully-biodegradable and self-powered intelligent filter assembled by fibrous cellulose and MOF-functionalized poly(lactic acid) core–shell nanofibers for active PM capturing and passive respiratory sensing

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International Journal of Biological Macromolecules 2025年 311卷 144118页

作者： Gao, Na Zhang, Yifan Chen, Ruizi Zhao, Yue Li, Xiao-Peng Li, Heguo Shao, Jiang Gao, Jiefeng He, Xinjian Shi, Bobo Chen, Xiaoyu Zhang, Shenghui Xu, Huan School of Materials Science and Physics China University of Mining and Technology Xuzhou221116 China State Key Laboratory of NBC Protection for Civilian Beijing100191 China School of Architecture & Design China University of Mining and Technology Xuzhou221116 China School of Chemistry and Chemical Engineering Yangzhou University Yangzhou272100 China School of Safety Engineering China University of Mining and Technology Xuzhou221116 China Jiangsu Engineering Research Center of Dust Control and Occupational Protection Xuzhou221008 China College of Polymer Science and Engineering State Key Laboratory of Polymer Materials Engineering Chengdu610065 China

With the increasing demand for ecofriendly air filtration materials, poly(lactic acid) (PLA) nanofibrous membranes (NFMs) show significant potential for efficient air purification while evading plastic pollution. However, there is still an urgent need to solve the issues of intrinsically low electroactivity and poor electret performance for PLA. Here, we prepared MOF-functionalized core–shell beaded PLA (MCSB-PLA) gradient nanofibers at fibrous cellulose, featuring a PLA/MOF-5 composite shell layer by coaxial electrospinning. Under the action of high-voltage electric field, MOF-5 nanocrystals were ready to interact with PLA chains, prompting the generation of highly refined and electroactive nanofibers. The MCSB-PLA NFMs were characterized by ultrafine fibers (diameter decrease of 23.5 %) and MOF-triggered bead-on-string microstructures. Meanwhile, both the surface potential and dielectric constant were largely elevated for MCSB-PLA NFMs (up to 5.2 kV and 1.86, respectively), accompanied by excellent tribo-output performance (236.8 % and 161.9 % increase in output voltage and current, respectively). Given the increased electroactivity, MCSB-PLA NFMs showed high-efficiency PM0.3 filtration (93.4 %, 106 Pa, at 32 L/min), representing an increase of 12.26 % compared to pure PLA counterpart (only 83.2 %). Even under high-humidity conditions, 91.3 % removal of PM0.3 was realized by MCSB-PLA (at 90 %RH and 32 L/min). Furthermore, the self-powered mechanisms were integrated with MCSB-PLA/cellulose, permitting real-time monitoring of physiological signals. The proposed degradable and highly electroactive MCSB-PLA NFMs is highly promising for air purification and passive healthcare. © 2025

关键词： Air cleaners

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Photocatalytic C-H Silylation of Heteroarenes by Using Trialkylhydrosilanes

Photocatalytic C-H Silylation of Heteroarenes by Using Trial...

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中国化学会第二届全国有机自由基化学会议

作者：刘石惠张永强 State Key Laboratory of Bioengineering Reactor Shanghai Key Laboratory of New Drug Design and School of Pharmacy East China University of Science and Technology

芳杂基三烷基硅烷,是一类重要药物骨架和有机合成中间体。三烷基氢硅烷参与的芳杂环碳氢键硅化反应是合成此类结构最有效的方式。本研究,聚焦该类结构的绿色高效合成,将交叉去氢偶联反应技术扩展至碳硅键构建之中,发展了一类可见光催化... 详细信息

芳杂基三烷基硅烷,是一类重要药物骨架和有机合成中间体。三烷基氢硅烷参与的芳杂环碳氢键硅化反应是合成此类结构最有效的方式。本研究,聚焦该类结构的绿色高效合成,将交叉去氢偶联反应技术扩展至碳硅键构建之中,发展了一类可见光催化的芳杂环碳氢键硅化反应。该方法可有效兼容大体积三烷基氢硅烷;缺电子芳杂环,富电子芳杂环,以及氰基取代芳环都可有效参与反应;尤其需要指出的是,以三异丙基硅硫醇替代过氧化物,反应同样可以有效进行,显示出更优的区域选择性。拓展研究表明,这些含大位阻三烷基硅基的芳杂环,对各种基于碳硅键断裂的偶联反应显示出较高反应活性,为复杂生物活性分子高效合成和快速修饰提供了简洁高效的反应工具。

关键词：碳氢键偶联反应 Photocatalytic C-H Silylation of Heteroarenes by Using Trialkylhydrosilanes

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