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Advancing space-based gravitational wave astronomy: Rapid parameter estimation via normalizing flows

Science China(Physics,Mechanics & Astronomy) 2024年第3期67卷 20-33页

作者： minghui du Bo Liang He Wang Peng Xu Ziren Luo Yueliang Wu Center for Gravitational Wave Experiment National Microgravity LaboratoryInstitute of MechanicsChinese Academy of SciencesBeijing 100190China Key Laboratory of Gravitational Wave Precision Measurement of Zhejiang Province Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China Shanghai Institute of Optics and Fine Mechanics Chinese Academy of SciencesShanghai 201800China International Centre for Theoretical Physics Asia-Pacific University of Chinese Academy of SciencesBeijing 100049China Taiji Laboratory for Gravitational Wave Universe(Beijing/Hangzhou) University of Chinese Academy of SciencesBeijing 100049China Lanzhou Center of Theoretical Physics Lanzhou UniversityLanzhou 730000China Hangzhou Institute for Advanced Study University of Chinese Academy of SciencesHangzhou 310024China Institute of Theoretical Physics Chinese Academy of SciencesBeijing 100190China

Gravitational wave(GW) astronomy is witnessing a transformative shift from terrestrial to space-based detection, with missions like Taiji at the forefront. While the transition brings unprecedented opportunities for exploring massive black hole binaries(MBHBs), it also imposes complex challenges in data analysis, particularly in parameter estimation amidst confusion noise.Addressing this gap, we utilize scalable normalizing flow models to achieve rapid and accurate inference within the Taiji environment. Innovatively, our approach simplifies the data's complexity, employs a transformation mapping to overcome the year-period time-dependent response function, and unveils additional multimodality in the arrival time parameter. Our method estimates MBHBs several orders of magnitude faster than conventional techniques, maintaining high accuracy even in complex backgrounds. These findings significantly enhance the efficiency of GW data analysis, paving the way for rapid detection and alerting systems and enriching our ability to explore the universe through space-based GW observation.

关键词： Taiji program gravitational wave detection parameter estimation machine learning

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Promoting effect of FeOx addition on the mechanochemically prepared vanadium-based catalyst for real PCDD/Fs removal and mechanism insight

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Journal of Environmental Sciences 2024年第3期137卷 478-487页

作者： minghui Tang Ling Wang Hongxian Li Xinlei Huang Cuicui du Shengyong Lu State Key Laboratory for Clean Energy Utilization Institute for Thermal Power EngineeringZhejiang UniversityHangzhou 310027China

Industrial-use VOx-based catalysts usually have a higher active temperature window (>250-300℃),which becomes a“bottleneck”for the practical application of PCDD/Fs catalytic degradation technology.In this work,VO_(x)-FeO_(x)/TiO_(2) catalyst prepared via mechanochemically method was investigated for the catalytic removal of PCDD/Fs.The removal efficiency of 1,2-DCBz,pure PCDD/Fs gas generated in the lab,PCDD/Fs from actual fue gas,long-term were studied,and the degradation mechanism was explored using FTIR and TOFMS.The degradation efficiency of 1,2-DCBz and PCDD/Fs on VO_(x)-FeO_(x)/TiO_(2) were higher than that of VO_(x)/TiO_(2)catalyst,and the optimal FeOx addition ratio was 3 wt.%.The characterization results show that the addition of FeOx can effectively improve the pore structure,surface acidity,and VOx dispersion of the catalyst,thus contributing to increasing the V^(5+)content and surface-active oxygen,which is conducive to the improvement of adsorption and redox performance of the catalyst.Under the actual MSWI (municipal solid waste incineration)fue gas,the PCDD/Fs removal efficiency over VTi-3Fe-MC maintained long-term stability,higher than 85%for 240 min.This result was not significantly reduced compared with the data obtained in the laboratory.According to the analysis results of intermediate products by FTIR and GC-TOFMS,it can be inferred that the epoxidation fracture of benzene ring is the rate-limiting step of dioxin catalytic degradation reaction.This work gives an in-depth view into the PCDD/Fs removal over VO_(x)-FeO_(x)/TiO_(2) catalysts and could provide guidelines for the rational design of reliable catalysts for industrial applications.

关键词： PCDD/F removal MSWI fue gas VO_(x)-FeO_(x)/TiO_(2) Mechanochemical GC-TOFMS

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Learning-based user association and dynamic resource allocation in multi-connectivity enabled unmanned aerial vehicle networks

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Digital Communications and Networks 2024年第1期10卷 53-62页

作者： Zhipeng Cheng minghui Liwang Ning Chen Lianfen Huang Nadra Guizani Xiaojiang du Department of Information and Communication Engineering Xiamen UniversityXiamen361005China School of Electrical and Computer Engineering University of Texas at ArlingtonArlingtonTX7619USA Department of Electrical and Computer Engineering Stevens Institute of TechnologyHobokenNJ07030USA

Unmanned Aerial Vehicles(UAvs)as aerial base stations to provide communication services for ground users is a flexible and cost-effective paradigm in B5G.Besides,dynamic resource allocation and multi-connectivity can be adopted to further harness the potentials of UAVs in improving communication capacity,in such situations such that the interference among users becomes a pivotal disincentive requiring effective solutions.To this end,we investigate the Joint UAV-User Association,Channel Allocation,and transmission Power Control(J-UACAPC)problem in a multi-connectivity-enabled UAV network with constrained backhaul links,where each UAV can determine the reusable channels and transmission power to serve the selected ground users.The goal was to mitigate co-channel interference while maximizing long-term system utility.The problem was modeled as a cooperative stochastic game with hybrid discrete-continuous action space.A Multi-Agent Hybrid Deep Reinforcement Learning(MAHDRL)algorithm was proposed to address this problem.Extensive simulation results demonstrated the effectiveness of the proposed algorithm and showed that it has a higher system utility than the baseline methods.

关键词： UAV-user association Multi-connectivity Resource allocation Power control Multi-agent deep reinforcement learning

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How will our knowledge of short gamma-ray bursts affect the distance measurement of binary neutron stars?

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Science China(Physics,Mechanics & Astronomy) 2022年第1期65卷 103-118页

作者： minghui du Lixin Xu Institute of Theoretical Physics School of PhysicsDalian University of TechnologyDalian 116024China

Gravitational waves from binary neutron stars associated with short gamma-ray bursts have drawn considerable attention due to their prospect in cosmology.For such events,the sky locations of sources can be pinpointed with techniques such as identifying the host galaxies.However,the cosmological applications of these events still suffer from the problem of degeneracy between luminosity distance and inclination angle.To address this issue,a technique was proposed in previous study,i.e.,using the collimation property of short gamma-ray bursts.Based on the observations,we assume that the cosine of inclination follows a Gaussian distribution,which may act as a prior in the Bayes analysis to break the degeneracy.This paper investigates the effects of different Gaussian priors and detector configurations on distance measurement and cosmological research.We first derive a simplified Fisher information matrix for demonstration,and then conduct quantitative analyses via simulation.By varying the number of third-generation detectors and the scale of prior,we generate four catalogs of 1000 events.It is shown that,in the same detecting period,a network of detectors can recognize more and farther events than a single detector.Besides,adopting tighter prior and employing multiple detectors both decrease the error of luminosity distance.Also considered is the performance of a widely adopted formula in the error budget,which turns out to be a conservative choice in each case.As for cosmological applications,for theΛCDM model,500,200,600,and 300 events are required for the four configurations to achieve 1%H;accuracy.With all 1000 events in each catalog,H;and?;can be constrained to(0.66%,0.37%,0.76%,0.49%),and(0.010,0.006,0.013,0.010),respectively.The results of the Gaussian process also show that the gravitational wave standard siren can serve as a probe of cosmology at high redshifts.

关键词： gravitational wave binary neutron star short gamma-ray burst cosmology

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Acousto-optic scanning multi-photon lithography with high printing rate

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Opto-Electronic Advances 2024年第2期7卷 1-3页

作者： minghui Hong Pen-Tung Sah Institute of Micro-Nano Science and Technology Xiamen UniversityXiamen 361005China

As a manufacturing method that is focused on end-users,3D printing has gained a lot of attention in recent years due to its unique advantages in fabricating complex three-dimensional structures.Various new micro-nano 3D printing methods have been developed to meet the demand for high-precision and high-yield manufacturing1-9.Among them,multi-photon-photon lithography(MPL) is a promising 3D nanofabrication technology due to its capability of true 3D digital processing and nanoscale processing resolution beyond the diffraction limit.It has been widely used to fabricate microoptics10,11,photonic crystals12,microfluidics13,meta-surfaces14,and mechanical metamaterials15.

关键词： photon Acous scanning

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The emerging roles of lysine-specific demethylase 4A in cancer:Implications in tumorigenesis and therapeutic opportunities

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Genes & Diseases 2024年第2期11卷 645-663页

作者： Guanjun Yang Changyun Li Fan Tao Yanjun Liu minghui Zhu Yu du Chenjie Fei Qiusheng She Jiong Chen State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products Ningbo UniversityNingboZhejiang 315211China School of Life Science and Engineering Henan University of Urban ConstructionPingdingshanHenan 467044China Laboratory of Biochemistry and Molecular Biology School of Marine SciencesNingbo UniversityNingboZhejiang 315211China Key Laboratory of Aquacultural Biotechnology Ministry of Education Ningbo UniversityNingboZhejiang 315211China

Lysine-specific demethylase 4 A(KDM4A,also named JMJD2A,KIA0677,or JHDM3A)is a demethylase that can remove methyl groups from histones H3K9me2/3,H3K36me2/3,and H1.4K26me2/me3.Accumulating evidence suggests that KDM4A is not only involved in body homeostasis(such as cell proliferation,migration and differentiation,and tissue development)but also associated with multiple human diseases,especially cancers.Recently,an increasing number of studies have shown that pharmacological inhibition of KDM4A significantly attenuates tumor progression in vitro and in vivo in a range of solid tumors and acute myeloid leukemia.Although there are several reviews on the roles of the KDM4 subfamily in cancer development and therapy,all of them only briefly introduce the roles of KDM4A in cancer without systematically summarizing the specific mechanisms of KDM4A in various physiological and pathological processes,especially in tumorigenesis,which greatly limits advances in the understanding of the roles of KDM4A in a variety of cancers,discovering targeted selective KDM4A inhibitors,and exploring the adaptive profiles of KDM4A antagonists.Herein,we present the structure and functions of KDM4A,simply outline the functions of KDM4A in homeostasis and non-cancer diseases,summarize the role of KDM4A and its distinct target genes in the development of a variety of cancers,systematically classify KDM4A inhibitors,summarize the difficulties encountered in the research of KDM4A and the discovery of related drugs,and provide the corresponding solutions,which would contribute to understanding the recent research trends on KDM4A and advancing the progression of KDM4A as a drug target in cancer therapy.

关键词： Cancer therapy Drug resistance Histone demethylation JmjC domain KDM4A

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Current status and challenges of pig-to-human organ xenotransplantation

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Science China(Life Sciences) 2024年第4期67卷 829-831页

作者： minghui Fang Yong-Guang Yang Zheng Hu Key Laboratory of Organ Regeneration&Transplantation of Ministry of Education and National-Local Joint Engineering Laboratory of Animal Models for Human DiseasesThe First Hospital of Jilin UniversityChangchun 130061China

Organ shortage is a global issue.Data collected by the Global Observatory on Donation and Transplantation reveals that over 150,000 solid organ transplants are conducted globally each year,a 52%increase from 2010(http... 详细信息

关键词： globally global shortage

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Human brain organoid:trends,evolution,and remaining challenges

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Neural Regeneration Research 2024年第11期19卷 2387-2399页

作者： minghui Li Yuhan Yuan Zongkun Hou Shilei Hao Liang Jin Bochu Wang Key Laboratory of Biorheological Science and Technology Ministry of EducationCollege of BioengineeringChongqing UniversityChongqingChina Southwest Hospital/Southwest Eye Hospital Third Military Medical University(Army Medical University)ChongqingChina School of Biology and Engineering/School of Basic Medical Sciences Guizhou Medical UniversityGuiyangGuizhou ProvinceChina

Advanced brain organoids provide promising platforms for deciphering the cellular and molecular processes of human neural development and diseases.Although various studies and reviews have described developments and advancements in brain organoids,few studies have comprehensively summarized and analyzed the global trends in this area of neuroscience.To identify and further facilitate the development of cerebral organoids,we utilized bibliometrics and visualization methods to analyze the global trends and evolution of brain organoids in the last 10 years.First,annual publications,countries/regions,organizations,journals,authors,co-citations,and keywords relating to brain organoids were identified.The hotspots in this field were also systematically identified.Subsequently,current applications for brain organoids in neuroscience,including human neural development,neural disorders,infectious diseases,regenerative medicine,drug discovery,and toxicity assessment studies,are comprehensively discussed.Towards that end,several considerations regarding the current challenges in brain organoid research and future strategies to advance neuroscience will be presented to further promote their application in neurological research.

关键词： bibliometric analysis brain organoids cerebral organoids global trends neuroscience

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Semi-supervised surface defect detection of wind turbine blades with YOLOv4

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Global Energy Interconnection 2024年第3期7卷 284-292页

作者： Chao Huang minghui Chen Long Wang Department of Computer and Communication Engineering University of Science and Technology BeijingBeijing 100083P.R.China Shunde Innovation School University of Science and Technology BeijingFoshan 528399P.R.China

Timely inspection of defects on the surfaces of wind turbine blades can effectively prevent unpredictable accidents.To this end,this study proposes a semi-supervised object-detection network based on You Only Looking Once version 4(YOLOv4).A semi-supervised structure comprising a generative adversarial network(GAN)was designed to overcome the difficulty in obtaining sufficient samples and sample labeling.In a GAN,the generator is realized by an encoder-decoder network,where the backbone of the encoder is YOLOv4 and the decoder comprises inverse convolutional layers.Partial features from the generator are passed to the defect detection network.Deploying several unlabeled images can significantly improve the generalization and recognition capabilities of defect-detection models.The small-scale object detection capacity of the network can be improved by enhancing essential features in the feature map by adding the concurrent spatial and channel squeeze and excitation(scSE)attention module to the three parts of the YOLOv4 network.A balancing improvement was made to the loss function of YOLOv4 to overcome the imbalance problem of the defective species.The results for both the single-and multi-category defect datasets show that the improved model can make good use of the features of the unlabeled images.The accuracy of wind turbine blade defect detection also has a significant advantage over classical object detection algorithms,including faster R-CNN and DETR.

关键词： Defect detection Generative adversarial network scSE attention Semi-supervision Wind turbine

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Revealing the anti-sintering phenomenon on silica-supported nickel catalysts during CO_(2)hydrogenation

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Journal of Environmental Sciences 2024年第6期140卷 270-278页

作者： Liuqingqing Yang Tiancheng Pu Feixiang Tian Yulian He minghui Zhu State Key Laboratory of Chemical Engineering School of Chemical EngineeringEast China University of Science and TechnologyShanghai 200237China University of Michigan-Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong UniversityShanghai 200240China School of Chemistry and Chemical Engineering Shanghai Jiao Tong UniversityShanghai 200240China

The CO_(2)catalytic hydrogenation represents a promising approach for gas-phase CO_(2)utilization in a direct manner.due to its excellent hydrogenation ability,nickel has been widely studied and has shown good activities in CO_(2)hydrogenation reactions,in addition to its high availability and low price.However,Ni-based catalysts are prone to sintering under elevated temperatures,leading to unstable catalytic performance.In the present study,various characterization techniques were employed to study the structural evolution of Ni/SiO_(2)during CO_(2)hydrogenation.An anti-sintering phenomenon is observed for both 9%Ni/SiO_(2)and 1%Ni/SiO_(2)during CO_(2)hydrogenation at 400℃.Results revealed that Ni species were re-dispersed into smaller-sized nanoparticles and formed Ni^(0)active species.While interestingly,this anti-sintering phenomenon leads to distinct outcomes for two catalysts,with a gradual increase in both reactivity and CH_(4)selectivity for 9%Ni/SiO_(2)presumably due to the formation of abundant surface Ni°from redispersion,while an apparent decreasing trend of CH_(4)selectivity for 1%Ni/SiO_(2)sample,presumably due to the formation of ultra-small nanoparticles that diffuse and partially filled the mesoporous pores of the silica support over time.Finally,the redispersion phenomenon was found relevant to the H_(2)gas in the reaction environment and enhanced as the H_(2)concentration increased.This finding is believed to provide in-depth insights into the structural evolution of Ni-based catalysts and product selectivity control in CO_(2)hydrogenation reactions.

关键词： Carbon dioxide utilization CO_(2)hydrogenation Nickel-based catalysts Anti-sintering Structural evolution

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