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A Hybrid Dung Beetle Optimization Algorithm with Simulated Annealing for the Numerical Modeling of Asymmetric Wave Equations

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Applied Geophysics 2024年第3期21卷 513-527,618页

作者： Wei Xu-ruo Bai Wen-lei Liu Lu Li You-ming Wang Zhi-yang College of Information Science and Technology Beijing University of Chemical TechnologyBeijingPRC Key Laboratory of Petroleum Resources Research Institute of Geology and GeophysicsChinese Academy of SciencesBeijingPRC University of Chinese Academy of Sciences BeijingChina Aramco Research Center-Beijing Aramco AsiaBeijingChina

In the generalized continuum mechanics(GCM)theory framework,asymmetric wave equations encompass the characteristic scale parameters of the medium,accounting for microstructure *** study integrates two theoretical branches of the GCM,the modified couple stress theory(M-CST)and the one-parameter second-strain-gradient theory,to form a novel asymmetric wave equation in a unified *** modeling of the asymmetric wave equation in a unified framework accurately describes subsurface structures with vital implications for subsequent seismic wave inversion and imaging ***,employing finite-difference(FD)methods for numerical modeling may introduce numerical dispersion,adversely affecting the accuracy of numerical *** design of an optimal FD operator is crucial for enhancing the accuracy of numerical modeling and emphasizing the scale ***,this study devises a hybrid scheme called the dung beetle optimization(DBO)algorithm with a simulated annealing(SA)algorithm,denoted as the SA-based hybrid DBO(SDBO)*** FD operator optimization method under the SDBO algorithm was developed and applied to the numerical modeling of asymmetric wave equations in a unified *** the DBO and SA algorithms mitigates the risk of convergence to a local *** numerical dispersion outcomes underscore that the proposed SDBO algorithm yields FD operators with precision errors constrained to 0.5‱while encompassing a broader spectrum *** result confirms the efficacy of the SDBO ***,the numerical modeling results demonstrate that the new FD method based on the SDBO algorithm effectively suppresses numerical dispersion and enhances the accuracy of elastic wave numerical modeling,thereby accentuating scale *** result is significant for extracting wavefield perturbations induced by complex microstructures in the medium and the analysis of scale effects.

关键词： Finite-difference Asymmetric wave equation Numerical modeling DBO algorithm SA algorithm

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A review on adhesion behavior of chip seal pavement and aggregate

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第3期11卷 441-466页

作者： Yuming Zhou Zhuyi Peng Jinyu Wang Jianguo Wei Hao Liu Di Wang Jinming Li Key Laboratory of Road Structure and Material of Ministry of Transport(Changsha) Changsha University of Science and TechnologyChangsha 410114China School of Traffic and Transportation Engineering Changsha University of Science and TechnologyChangsha 410114China Wuhan Huike Testing Co. Ltd.Wuhan 430000China Department of Civil Engineering University of OttawaON KIN 6N5Canada CCCC Infrastructure Maintenance Group Co. Ltd.Beijing 100102China

Chip seal is widely used for preventive maintenance to mitigate pavement deterioration,but it is prone to aggregate loss during pavement *** further promote the development and application of chip seals in road engineering in China,the research progress of the adhesion behavior of aggregate and binder in chip seals was reviewed in this paper,focusing on the adhesion mechanism of emulsified asphalt and alkaline *** Influencing factors and evaluation methodology of chip seals'aggregate adhesion behavior were also *** results demonstrate that the adhesion process between emulsified asphalt and alkaline aggregate is divided into three processes including infiltration,demulsification,and cluster,which is more complicated when compared to hot *** designing a chip seal,not only the characteristics of single material should be paid attention to,but also the combination of binder and aggregate matters a *** form good adhesion between aggregate and asphalt binder,various influencing factors such as material selection,design method,and construction technical index should be considered comprehensively in the whole design,construction,and operation *** methods for evaluating adhesion behavior are summarized,including macroscopic adhesion performance tests,image analysis technology,and model *** is not objective to evaluate the aggregate adhesion behavior of chip seal only by a single evaluation method.A comprehensive evaluation based on the micro-macro multi-scale method should be considered in the future.

关键词： Chip seal Adhesion behavior Asphalt binder Aggregate

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Ultrasensitive proteomics depicted an in-depth landscape for the very early stage of mouse maternal-to-zygotic transition

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Journal of Pharmaceutical analysis 2023年第8期13卷 942-954页

作者： Lei Gu Xumiao Li Wencheng Zhu Yi Shen Qinqin Wang Wenjun Liu Junfeng Zhang Huiping Zhang Jingquan Li Ziyi Li Zhen Liu Chen Li Hui Wang Center for Single-Cell Omics School of Public HealthShanghai Jiao Tong University School of MedicineShanghai200025China Institute of Neuroscience CAS Center for Excellence in Brain Science and Intelligence TechnologyCAS Key Laboratory of Primate NeurobiologyState Key Laboratory of NeuroscienceChinese Academy of SciencesShanghai200031China Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology Shanghai200031China Shanghai Applied Protein Technology Co. Ltd.Shanghai201100China University of Chinese Academy of Sciences Beijing101408China

Single-cell or low-input multi-omics techniques have revolutionized the study of pre-implantation embryo ***,the single-cell or low-input proteomic research in this field is relatively underdeveloped because of the higher threshold of the starting material for mammalian embryo samples and the lack of hypersensitive proteome *** this study,a comprehensive solution of ultrasensitive proteome technology(CS-UPT)was developed for single-cell or low-input mouse oocyte/embryo *** deep coverage and high-throughput routes significantly reduced the starting material and were selected by investigators based on their *** the deep coverage route,we provided the first large-scale snapshot of the very early stage of mouse maternal-to-zygotic transition,including almost 5,500 protein groups from 20 mouse oocytes or zygotes for each ***,significant protein regulatory networks centered on transcription factors and kinases between the MII oocyte and 1-cell embryo provided rich insights into minor zygotic genome activation.

关键词： Single-cell proteomics Low-input proteomics Maternal-to-zygotic transition Oocyte Embryo

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Association between Metal(loid)Exposure and Risk of Polycystic Ovary Syndrome Mediated by Anti-Müllerian Hormone among Women Undergoing In Vitro Fertilization and Embryo Transfer

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Biomedical and Environmental sciences 2024年第10期37卷 1107-1116页

作者： Shu Su Mengyuan Ren Yanqiu Feng Changxin Lan Lailai Yan Qun Lu Jia Xu Bin Han Lili Zhuang Mingliang Fang Bin Wang Hongchu Bao Bo Pan Institute of Reproductive and Child Health Peking University/Key Laboratory of Reproductive HealthNational Health Commission of the People’s Republic of ChinaBeijing 100191China Department of Epidemiology and Biostatistics School of Public HealthPeking UniversityBeijing 100191China Department of Laboratorial Science and Technology School of Public HealthPeking UniversityBeijing 100191China Medical Center for Human Reproduction Beijing Chao-Yang HospitalCapital Medical UniversityBeijing 100020China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing 100012China Reproductive Medicine Center The Affliated Yantai Yuhuangding Hospital of Qingdao UniversityYantai 264000ShandongChina Department of Environmental Science and Engineering Fudan UniversityShanghai 200433China Key Laboratory of Epidemiology of Major Diseases(Peking University) Ministry of EducationBeijing 100191China Laboratory for Earth Surface Processes College of Urban and Environmental SciencePeking UniversityBeijing 100871China Yunnan Provincial Key Lab of Soil Carbon Sequestration and Pollution Control Faculty of Environmental Science and EngineeringKunming University of Science and TechnologyKunming 650500YunnanChina

Objective To investigate the relationship and potential pathways between metal(loid)exposure and the risk of polycystic ovary syndrome(PCOS)in women of childbearing *** This case-control study included 200 patients with PCOS(cases)and 896 non-PCOS controls with the age of 25-37 *** concentrations of 29 metal(loid)s in the follicular fluid(FF)and clinical indicators in the serum were measured in all *** regression analysis and mediation analysis were conducted to evaluate the associations between metal(loid)exposure and PCOS risk and investigate the possible roles of clinical indicators,*** Logistic regression analysis revealed an association between high copper levels in FF and increased PCOS risk(highest *** quartile:adjusted odds ratio=2.94,95%confidence interval:1.83-4.72).A high luteinizing hormone/follicle-stimulating hormone ratio and elevated levels of testosterone and anti-Müllerian hormone(AMH)were strongly associated with increased PCOS risk induced by high copper *** mediation analysis indicated a mediating effect of AMH in the association between copper exposure and PCOS *** Copper may affect PCOS risk through the hypothalamic-pituitary-ovarian axis,mediated by *** exposure and internal AMH levels are important indicators for early warning of PCOS development.

关键词： Copper Polycystic ovary syndrome Anti-Müllerian hormone Infertility Women of childbearing age

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High-spatial-resolution composition analysis of micro/nanostructures with a nanoscale compositional variation

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Nano Research 2023年第1期16卷 1090-1095页

作者： Meng Wang Xiaofeng Wang Zhican Zhou Feng Xia Haoran Zhang Artem Shelaev Xinzheng Zhang Chuanfei Guo Jingjun Xu Qian Liu Chinese Academy of Sciences(CAS)Key Laboratory of Nanosystem and Hierarchical Fabrication CAS Center for Excellence in NanoscienceNational Center for Nanoscience and Technology&University of Chinese Academy of SciencesBeijing 100190China The MOE Key Laboratory of Weak-Light Nonlinear Photonics TEDA Applied Physics SchoolNankai UniversityTianjin 300457China Sino-German College of Intelligent Manufacturing Shenzhen Technology UniversityShenzhen 518118China Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055China College of Physics Qingdao UniversityQingdao 26607China NT-MDT Co.Building 100 ZelenogradMoscow 124482Russia Institute of Physics Kazan Federal UniversityKazan 420008Russia Guangdong Provincial Key Laboratory of Functional Oxide Materials and Devices Southern University of Science and TechnologyShenzhen 518055China College of Material Science and Technology Nanjing University of Aeronautics and AstronauticsNanjing 210016China

The composition of materials in a micro-/nano-devices plays a key role in determining their mechanical,physical,and chemical ***,for devices with a compositional change on nanoscale which can often be achieved by point-by-point direct writing technology using a focused ion beam(FIB),electron beam(EB),or laser beam(LB),but so far,nanoscale composition analysis of a large-area micro/nano structures with a variation composition remains a big challenge in cost,simpleness,and *** we present a feasible route to realize large-area composition analysis with nanoscale spatial resolution by using Raman *** experimentally verified the capability of this method by analyzing a complex Sn-SnOx system of a microscale grayscale mask with nanoscale spatial resolution of *** analyses using Auger electron spectroscopy,transmission electron microscopy,and atomic force microscopy indicated the effectiveness and practicality of our *** work opens up a way to analyze the composition of a large-area complex system at a nanoscale spatial resolution,and the method can be extended to many other material systems.

关键词： Raman spectroscopy nanoscale resolution composition analysis large-area

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Deep Learning-Based Code Index Cyclic Shift keying Spread Spectrum Underwater Acoustic Communication

Deep Learning-Based Code Index Cyclic Shift Keying Spread Sp...

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2024 OES China Ocean Acoustics, COA 2024

作者： Lin, Jingyi Liu, Yufei Wang, Fangyong Science and Technology on Sonar Laboratory Hangzhou310000 China Hangzhou Applied Acoustics Research Institute Hangzhou310000 China Institute of Acoustics Chinese Academy of Sciences Beijing100190 China Chinese Academy of Sciences Key Laboratory of Underwater Acoustic Environment Beijing100190 China University of Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9798350340297

This paper introduces a deep-learning-based code index cyclic shift keying spread spectrum (CICSK-SS) underwater acoustic communication system. The system utilizes a gated recurrent unit (GRU) network as the signal demodulation module at the receiver end, which enables direct demodulation of the received signal and reduces the impact of multipath fading and noise interference. To validate the performance of the deep-learning-based system, received signal samples generated through transmitted signals and channel impulse responses were used to construct the dataset required for network training and testing. Offline training and online testing of the system were conducted using these datasets. Simulation results indicate that, under complex shallow-water acoustic channel conditions with noise interference, the deep-learning-based system exhibits greater reliability compared to conventional systems. Furthermore, the performance of the deep-learning-based system varies when models with GRU architecture adopt different structures and hyperparameters, allowing the selection based on practical situations and requirements. © 2024 IEEE.

关键词： Demodulation

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Demand Response Scheme: Achieving Sustainability in Distributed Data Processing 9

Demand Response Scheme: Achieving Sustainability in Distribu...

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9th IEEE International Conference on Data science in Cyberspace, DSC 2024

作者： Zhai, Xueying Peng, Yunfeng Guo, Xiuping Zhang, Liang Zhang, Wei University of Science and Technology Beijing School of Computer and Communication Engineering Beijing China Beijing University of Posts and Telecommunications School of Economics and Management Beijing China Guizhou Institute of Technology Guizhou Key Laboratory of Electric Power Big Data Guizhou China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China

ISBN: (纸本)9798350391367

The rapid development of Internet of Things (IoT) technology has driven the intelligent transformation of various industries, including manufacturing, agriculture, and healthcare, etc., significantly enhancing their management capabilities and decision-making efficiency. Data analysis is crucial, serving as both the core technology of this transformation and a major driving force for advancing industry intelligence. However, the increasing volume of data has led to high energy consumption during data analysis, posing significant challenges to environmental and economic sustainability. Integrating renewable energy sources (RESs) is an effective way to reduce greenhouse gas emissions due to their low-carbon and renewable nature. Additionally, the spatiotemporal variability and complementarity of RES generation and grid electricity prices provide favorable conditions for distributed data processing. Therefore, a two-stage demand response scheme is proposed to reduce carbon emissions and electricity costs by prioritizing data processing in data centers (DCs) where RES is abundant or electricity prices are low, based on RES generation and electricity price signals. Simulation results show that the proposed scheme reduces 36.37% carbon emissions and 20.49% electricity costs compared to the benchmark algorithm, indicating its potential for both environmental and economic optimization. © 2024 IEEE.

关键词： Low emission

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Influence of sweep duration on debonding detection of honeycomb structures based on acoustic band gap

Influence of sweep duration on debonding detection of honeyc...

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2023 International Congress on Ultrasonics, ICU beijing 2023

作者： Yuan, Ye Liu, Bin Jia, Han Zhang, Zhiguo School of Instrumentation Science and Engineering Harbin Institute of Technology Harbin150001 China Key Laboratory of Noise and Vibration Research Institute of Acoustics Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China

Honeycomb structure is widely used in many fields, and its bond quality needs to be tested during manufacture process and in service. However, the efficiency, sensitivity, and feasibility can hardly be achieved simultaneously for traditional non-destructive testing methods. In the previous work, we have proposed a new debonding detection method using the acoustic band gap of honeycomb structures. Nevertheless, the influence of the detection parameters on the testing result has not been thoroughly investigated. In this paper, the effect of duration variation of the sweep signal used for exciting on the results is studied. Experimental results demonstrate that the transmission frequency response (TFR) of both the intact and the debonding area almost keep unchanged as the sweep duration varies from 1 s to 0.001 s. Theoretical analysis shows that the upper limit of the sweep rate is about 500 MHz/s, i.e., the minimum sweep duration is about 1.2 × 10-5 s to detect a bandgap with a bandwidth of about 6 kHz. Therefore, a shorter sweep duration can be used to further improve the detection efficiency. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Nondestructive examination

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Two-Stage Solar Flare Forecasting Based on Convolutional Neural Networks

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Space(science & technology) 2022年第1期2022卷 36-45页

作者： Jun Chen Weifu Li Shuxin Li Hong Chen Xuebin Zhao Jiangtao Peng Yanhong Chen Hao Deng College of Science Huazhong Agricultural UniversityWuhan 430070China Hubei Key Laboratory of Applied Mathematics Hubei UniversityWuhan 430062China Nation Space Science Center Chinese Academy of ScienceBeijing 100190China Key Laboratory of Science and Technology on Environment Space Situation Awareness Beijing 100190China University of Chinese Academy of Science Beijing 100049China

Solar flares are solar storm events driven by the magnetic field in the solar activity *** flare,often associated with solar proton event or CME,has a negative impact on ratio communication,aviation,and ***,its forecasting has attracted much attention from the academic *** to the limitation of the unbalanced distribution of the observation data,most techniques failed to effectively learn complex magnetic field characteristics,leading to poor forecasting *** the statistical analysis of solar flare magnetic map data observed by SDO/HMI from 2010 to 2019,we find that unsupervised clustering algorithms have high accuracy in identifying the sunspot group in which the positive samples account for the ***,for these identified sunspot groups,the ensemble model that integrates the capability of boosting and convolutional neural network(CNN)achieves high-precision prediction of whether the solar flares will occur in the next 48 *** on the above findings,a two-stage solar flare early warning system is established in this *** F1 score of our method is 0.5639,which shows that it is superior to the traditional methods such as logistic regression and support vector machine(SVM).

关键词： Solar forecasting storm

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Ebola virus VP35 perturbs type I interferon signaling to facilitate viral replication

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Virologica Sinica 2023年第6期38卷 922-930页

作者： Zengguo Cao Chenchen Liu Cheng Peng Yong Ran Yulin Yao Gengfu Xiao Entao Li Zixi Chen Xia Chuai Sandra Chiu Key Laboratory of Special Pathogens and Biosafety Wuhan Institute of VirologyCenter for Biosafety Mega-ScienceChinese Academy of SciencesWuhan430071China University of Chinese Academy of Sciences Beijing100190China National Biosafety Laboratory Chinese Academy of SciencesWuhan430020China Division of Life Sciences and Medicine University of Science and Technology of Chin1Hefei230026China Shenzhen Key Laboratory of Marine Bioresource and Eco-environmental Science Shenzhen Engineering Laboratory for Marine Algal BiotechnologyGuangdong Provincial Key Laboratory for Plant EpigeneticsCollege of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China

As one of the deadliest viruses,Ebola virus(EBOV)causes lethal hemorrhagic fevers in humans and nonhuman *** suppression of innate immunity leads to robust systemic virus replication of EBOV,leading to enhanced ***,the mechanism of EBOV-host interaction is not fully ***,we identified multiple dysregulated genes in early stage of EBOV infection through transcriptomic analysis,which are highly clustered to Jak-STAT *** VP35 and VP30 were found to inhibit type I interferon(IFN)***,exogenous expression of VP35 blocks the phosphorylation of endogenous STAT1,and suppresses nuclear translocation of *** serial truncated mutations of VP35,N-terminal 1–220amino acid residues of VP35 were identified to be essential for blocking on type I IFN ***,VP35 of EBOV suppresses type I IFN signaling more efficiently than those of Bundibugyo virus(BDBV)and Marburg virus(MARV),resulting in stable replication to facilitate the ***,this study enriches understanding on EBOV evasion of innate immune response,and provides insights into the interplay between filoviruses and host.

关键词： Ebola virus(EBOV) Type I interferon(IFN)signaling Viral replication

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