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Probing the interseismic locking state of the Xianshuihe fault based on a viscoelastic deformation model

Science China Earth Sciences 2024年第1期67卷 134-145页

作者： Yage ZHU Faqi DIAO Fei CHEn Yuebing WAnG Zhigang shao Rongjiang WAnG xiong xiong Hubei Subsurface Multi-Scale Imaging Key Laboratory School of Geophysics and GeomaticsChina University of GeosciencesWuhan 430074China China Earthquake networks Center Beijing 100045China Institute of Earthquake Forecasting China Earthquake AdministrationBeijing 100036China

The interseismic locking state of tectonic faults is essential for regional seismic hazard ***,it is challenging to obtain this parameter reliably due to the weak deformation and complex model *** better probe the fault locking state,more reliable physical models and well-covered observations are *** we investigate the locking state of the Xianshuihe fault based on a new-developed viscoelastic deformation ***,we combine GPS velocities from 13 new near-field stations and existing stations in this region to improve the spatial *** to the theoretical predictions,our results indicate that the elastic model will clearly overestimate the fault locking depth and seismic moment accumulation rate,and the fault slip rate inferred from the elastic model is slightly lower than that from the viscoelastic *** on the locking distribution inferred from the viscoelastic model,we identify four potential asperities on the Xianshuihe *** importantly,we find a clear spatial correlation between the fault locking distribution and the rupture extent of historical earthquakes,which indicates that the fault locking state may control the rupture extent and thus the magnitude of *** addition,our results show that the 2022 M6.8 Luding earthquake only ruptured the south part of a potential asperity,and the accumulated energy in the northern unruptured area is equivalent to an Mw6.9 earthquake,where the seismic hazard deserves special attention.

关键词： Fault kinematics Viscoelastic relaxation effect GPS observations Seismic hazard The 2022 M6.8 Luding earthquake

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A Learning-based Control Framework for Fast and Accurate Manipulation of a Flexible Object

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Journal of Bionic Engineering 2024年第4期21卷 1761-1774页

作者： Junyi Wang Xiaofeng xiong Silvia Tolu Stanislav n.Gorb Department of Electrical and Photonics Engineering Technical University of DenmarkAnker Engelunds Vej 101Kongens LyngbyZealand2800Denmark SDU Biorobotics Mærsk Mc-Kinney Møller InstituteUniversity of Southern Denmark(SDU)Campusvej 55Odense MFunen5230Denmark Department Functional Morphology and Biomechanics Zoological InstituteUniversity of KielAm Botanischen Garten 1–9D-24118KielSchleswig-HolsteinGermany

This paper presents a learning-based control framework for fast(3 times of others).Besides,motion tracking errors are greatly reduced to 13.29 and 22.36 of constant impedance control by the OIAC of the proposed *** ad... 详细信息

This paper presents a learning-based control framework for fast(nd accurate manipulation of a flexible object,i.e.,whip *** framework consists of a motion planner learned or optimized by an algorithm,Online Impedance Adaptation Control(OIAC),a sim2real mechanism,and a visual feedback *** experimental results show that a soft actor-critic algorithm outperforms three Deep Reinforcement Learning(DRL),a nonlinear optimization,and a genetic algorithm in learning generalization of motion *** can greatly reduce average learning trials(to20 of others)and maximize average rewards(to>3 times of others).Besides,motion tracking errors are greatly reduced to 13.29 and 22.36 of constant impedance control by the OIAC of the proposed *** addition,the trajectory similarity between simulated and physical whips is *** presented framework provides a new method integrating data-driven and physics-based algorithms for controlling fast and accurate arm manipulation of a flexible object.

关键词： Deep reinforcement learning Deformable object manipulation Variable impedance control Sim2real Visual tracking

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Improvement of impact properties of Al-Si-Mg alloy via solution treatment and joint modification with Sr and La

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Rare Metals 2024年第7期43卷 3301-3313页

作者： xiong-Ling Zheng shao-Xiang Li Jia-Le Ma Qing-Yan Xu Hai-Dong Zhao Zhi-Qiang Han Key Laboratory for Advanced Materials Processing Technology Ministry of EducationSchool of Materials Science and EngineeringTsinghua UniversityBeijing 100084China national Engineering Research Center of near-net Shape Forming for Metallic Materials South China University of TechnologyGuangzhou 510641China

An effort to obtain superior impact properties for Al-7Si-0.35 Mg alloy is presented,where modification with 0.02 wt% Sr and 0.1 wt% La as well as solution treatment was jointly *** samples were solution treated at 535℃ for 15 min to 12 *** microstructure,fracture mechanism,and their correlation with the impact properties of the alloy were studied in detail mainly through optical microscopy(OM),scanning electron microscopy(SEM) and oscillography impact *** results show that the addition of Sr and La refined the eutectic Si particles significantly from~ 2.05 μm(modified with Sr alone) to~ 0.75 μm in as-cast microstructure,leading to a very homogeneous distribution of spheroidized Si particles in the alloy solution treated at 535℃ for 8 *** alloy exhibits excellent impact toughness up to 75 J·cm^(-2),which is much higher than the maximum impact toughness of the alloys modified by Sr alone(~ 46 J·cm^(-2)).The major reason for this remarkable increase in the impact property is the dramatic increase in crack initiation *** dispersoid-free zones(DFZs)near the eutectic regions mainly consist of the ductile Al-matrix,which exhibits excellent *** ductile Al-matrix of the DFZs hinders the crack propagation,resulting in a significant increase in crack propagation energy.

关键词： Aluminum alloys Modification Solution treatment Microstructure Impact properties Fracture mechanism

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Identification of reservoir types in deep carbonates based on mixedkernel machine learning using geophysical logging data

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Petroleum Science 2024年第3期21卷 1632-1648页

作者： Jin-xiong Shi Xiang-Yuan Zhao Lian-Bo Zeng Yun-Zhao Zhang Zheng-Ping Zhu shao-Qun Dong Key Laboratory of Exploration Technologies for Oil and Gas Resources of the Ministry of Education Yangtze UniversityWuhan4310HubeiChina School of Geosciences Yangtze UniversityWuhan430100HubeiChina College of Geosciences China University of Petroleum(Beijing)Beijing102249China Petroleum Exploration and Production Research Institute of SInOPEC Beijing100083China School of Earth Sciences and Engineering Xi'an Shiyou UniversityXi'an 710065ShaanxiChina

Identification of reservoir types in deep carbonates has always been a great challenge due to complex logging responses caused by the heterogeneous scale and distribution of storage *** cross-plot analysis and empirical formula methods for identifying reservoir types using geophysical logging data have high uncertainty and low efficiency,which cannot accurately reflect the nonlinear relationship between reservoir types and logging ***,the kernel Fisher discriminant analysis(KFD),a kernel-based machine learning technique,attracts attention in many fields because of its strong nonlinear processing ***,the overall performance of KFD model may be limited as a single kernel function cannot simultaneously extrapolate and interpolate well,especially for highly complex data *** address this issue,in this study,a mixed kernel Fisher discriminant analysis(MKFD)model was established and applied to identify reservoir types of the deep Sinian carbonates in central Sichuan Basin,*** MKFD model was trained and tested with 453 datasets from 7 coring wells,utilizing GR,CAL,DEn,AC,CnL and RT logs as input *** particle swarm optimization(PSO)was adopted for hyper-parameter optimization of MKFD *** evaluate the model performance,prediction results of MKFD were compared with those of basic-kernel based KFD,RF and SVM ***,the built MKFD model was applied in a blind well test,and a variable importance analysis was *** comparison and blind test results demonstrated that MKFD outperformed traditional KFD,RF and SVM in the identification of reservoir types,which provided higher accuracy and stronger *** MKFD can therefore be a reliable method for identifying reservoir types of deep carbonates.

关键词： Reservoir type identification Geophysical logging data Kernel Fisher discriminantanalysis Mixedkernel function Deep carbonates

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Local quantum Fisher information and quantum correlation in the mixed-spin Heisenberg XXZ chain

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Frontiers of physics 2024年第2期19卷 235-245页

作者： Peng-Fei Wei Qi Luo Huang-Qiu-Chen Wang shao-Jie xiong Bo Liu Zhe Sun School of Physics Hangzhou Normal UniversityHangzhou 310036China Zhejiang Institute of Modern Physics and School of Physics Zhejiang UniversityHangzhou 310027China School of Information and Electrical Engineering Hangzhou City UniversityHangzhou 310015China Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change Hangzhou 311121China

We study the local quantum Fisher information(LQFI)in the mixed-spin Heisenberg XXZ *** the maximal and minimal LQFI are studied and the former is essential to determine the accuracy of the quantum parameter estimation,the latter can be well used to characterize the discord-type quantum *** investigate the effects of the temperature and the anisotropy parameter on the maximal LQFI and thus on the accuracy of the parameter *** we make use of the minimal LQFI to study the discord-type correlations of different site *** dimensions of the subsystems cause different values of the minimal LQFI which reflects the asymmetry of the discord-type *** addition,the site pairs at different positions of the spin chains have different minimal LQFI,which reveals the influence of the surrounding spins on the bipartite quantum *** results show that the LQFI obtained through a simple calculation process provides a convenient way to investigate the discord-type correlation in high-dimensional systems.

关键词： local quantum Fisher information quantum correlation mixed-spin Heisenberg XXZ chain

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An intelligent active probing and trace-back scheme for IoT anomaly detection

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Digital Communications and networks 2024年第1期10卷 168-181页

作者： Luying Wang Lingyi Chen neal n.xiong Anfeng Liu Tian Wang Mianxiong Dong School of Computer Science and Engineering Central South UniversityChangsha 410083China Department of Computer Science and Mathematics Sul Ross State UniversityAlpineTX 79830USA Artificial Intelligence and Future networks Beijing Normal University&UICZhuhai 519087China Department of Information and Electronic Engineering Muroran Institute of TechnologyMuroran 050-8585Japan

Due to their simple hardware,sensor nodes in IoT are vulnerable to attack,leading to data routing blockages or malicious tampering,which significantly disrupts secure data *** Intelligent Active Probing and Trace-back Scheme for IoT Anomaly Detection(APTAD)is proposed to collect integrated IoT data by recruiting Mobile Edge Users(MEUs).(a)An intelligent unsupervised learning approach is used to identify anomalous data from the collected data by MEUs and help to identify anomalous nodes.(b)Recruit MEUs to trace back and propose a series of trust calculation methods to determine the trust of nodes.(c)The last,the number of active detection packets and detection paths are designed,so as to accurately identify the trust of nodes in IoT at the minimum cost of the network.A large number of experimental results show that the recruiting cost and average anomaly detection time are reduced by 6.5 times and 34.33%respectively,while the accuracy of trust identification is improved by 20%.

关键词： Anomaly detection Internet of things Integrating data collection Mobile edge users Intelligent

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Coke behavior with H_(2)O in a hydrogen-enriched blast furnace:A review

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International Journal of Minerals,Metallurgy and Materials 2024年第5期31卷 959-976页

作者： Feng Zhou Daosheng Peng Kejiang Li Alberto n.Conejo Haotian Liao Zixin xiong Dongtao Li Jianliang Zhang School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China School of Chemical Engineering The University of QueenslandSt LuciaQLD 4072Australia Baosteel Central Research Institute(R&D Center of Wuhan Iron&Steel Co. Ltd.)Wuhan 430080China Shougang Research Institute of Technology Shougang Group Corporation Ltd.Beijing 100043China Beijing Key Laboratory of Green Recyclable Process for Iron and Steel Production Technology Beijing 100043China

Hydrogen-enriched blast furnace ironmaking has become an essential route to reduce CO_(2)emissions in the ironmaking ***,hydrogen-enriched reduction produces large amounts of H_(2)O,which places new demands on coke quality in a blast *** a hydrogen-rich blast furnace,the presence of H_(2)O promotes the solution loss *** result improves the reactivity of coke,which is 20%-30%higher in a pure H_(2)O atmosphere than in a pure CO_(2)*** activation energy range is 110-300 kJ/mol between coke and CO_(2)and 80-170 kJ/mol between coke and H_(2)***_(2)and H_(2)O are shown to have different effects on coke degradation *** review provides a comprehensive overview of the effect of H_(2)O on the structure and properties of *** exploring the interactions between H_(2)O and coke,several unresolved issues in the field requiring further research were *** review aims to provide valuable insights into coke behavior in hydrogen-rich environments and promote the further development of hydrogen-rich blast furnace ironmaking processes.

关键词： hydrogen ironmaking coke behavior blast furnace gasification microstructure kinetics

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Demethylase-assisted site-specific detection of n^(1)-methyladenosine in RnA

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Chinese Chemical Letters 2024年第5期35卷 397-401页

作者： Jun xiong Ke-Ke Chen neng-Bin Xie Wei Chen Wen-Xuan shao Tong-Tong Ji Si-Yu Yu Yu-Qi Feng Bi-Feng Yuan College of Chemistry and Molecular Sciences Research Center of Public HealthRenmin Hospital of Wuhan UniversitySchool of Public HealthWuhan UniversityWuhan 430071China Department of Laboratory Medicine Zhongnan Hospital of Wuhan UniversityWuhan UniversityWuhan 430071China

The dynamic RnA modifications have been viewed as new posttranscriptional regulator in modulating gene expression as well as in a broad range of physiological processes.n^(1)-methyladenosine(m^(1)A)is one of the most prevalent modifications existing in multiple types of ***-depth investigation of the functions of m^(1)A requires the site-specific assessment of m^(1)A stoichiometry in ***,we established a demethylase-assisted method(DA-m^(1)A)for the site-specific detection and quantification of m^(1)A in RnA.n^(1)-methyl group in m^(1)A could result in the stalling of reverse transcription at m^(1)A site,thus producing the truncated *** AlkB is a demethylase that can demethylate m^(1)A to produce adenine in RnA,thus generating full-length cDnA from AlkB-treated *** of the produced amounts of full-length cDnA by quantitative real-time PCR can achieve the site-specific detection and quantification of m^(1)A in *** the DA-m^(1)A method,we examined and successfully confirmed the previously well-characterized m^(1)A sites in various types of RnAs with low false positive *** addition,we found that the level of m^(1)A was significantly decreased at the bromodomain containing 2(BRD2)mRnA position 1674 and CST telomere replication complex component 1(CTC1)mRnA position 5643 in human hepatocellular carcinoma *** results suggest that these two m^(1)A sites in mRnA may be involved in liver *** together,the DA-m^(1)A method is simple and enables the rapid,cost-effective,and site-specific detection and quantification of m^(1)A in RnA,which provides a valuable tool to decipher the functions of m^(1)A in human diseases.

关键词： n^(1)-methyladenosine RnA modification AlkB demethylase RnA epigenetics Quantitative real-time PCR Hepatocellular carcinoma

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LncFASA promotes cancer ferroptosis via modulating PRDX1 phase separation

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Science China(Life Sciences) 2024年第3期67卷 488-503页

作者： Xiao Fan Fangzhou Liu Xiang Wang Ying Wang Yu Chen Chengyu Shi Xinwan Su Manman Tan Qingfeng Yan Jinrong Peng Jianzhong shao Yan xiong Aifu Lin MOE Laboratory of Biosystem Homeostasis and Protection College of Life SciencesZhejiang UniversityHangzhou 310058China Key Laboratoryof Cancer Prevention and Intervention China National Ministry of EducationHangzhou 310009China Cancer Center Zhejiang UniversityHangzhou 310058China Key Laboratory for Cell and Gene Engineering of Zhejiang Province Hangzhou 310058China Department of Central Laboratory the First People's Hospital of HuzhouHuzhou 313000China Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province Affiliated Hangzhou First People's HospitalZhejiang University School of MedicineHangzhou 310006China MOE Key Laboratory for Molecular Animal nutrition College of Animal SciencesZhejiang UniversityHangzhou 310058China Department of Orthopedic Surgery the Second Affiliated HospitalSchool of MedicineZhejiang UniversityHangzhou 310000China Breast Center of the First Affiliated Hospital School of MedicineZhejiang UniversityHangzhou 310003China International School of Medicine International Institutes of MedicineThe 4th Affiliated Hospital of Zhejiang University School of MedicineYiwu 322000China

Ferroptosis, a unique type of non-apoptotic cell death resulting from iron-dependent lipid peroxidation, has a potential physiological function in tumor suppression, but its underlying mechanisms have not been fully elucidated. Here, we report that the long non-coding RnA(lncRnA) LncFASA increases the susceptibility of triple-negative breast cancer(TnBC) to ferroptosis. As a tumor suppressor, LncFASA drives the formation of droplets containing peroxiredoxin1(PRDX1), a member of the peroxidase family, resulting in the accumulation of lipid peroxidation via the SLC7A11-GPX4 axis. Mechanistically, LncFASA directly binds to the Ahpc-TSA domain of PRDX1, inhibiting its peroxidase activity by driving liquid-liquid phase separation, which disrupts intracellular ROS homeostasis. notably, high LncFASA expression indicates favorable overall survival in individuals with breast cancer, and LncFASA impairs the growth of breast xenograft tumors by modulating ferroptosis. Together, our findings illustrate the crucial role of this lncRnA in ferroptosis-mediated cancer development and provide new insights into therapeutic strategies for breast cancer.

关键词： long non-coding RnA peroxiredoxin liquid-liquid phase separation ferroptosis breast cancer

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Multicolored Bipartite Ramsey numbers of Large Cycles

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Acta Mathematicae Applicatae Sinica 2024年第2期40卷 347-357页

作者： shao-qiang LIU Yue-jian PEnG College of Mathematics and Statistics Hanshan Normal UniversityChaozhou 521041China School of Mathematics Hunan UniversityChangsha 410082China

For an integer r≥2 and bipartite graphs Hi,where 1≤i≤r,the bipartite Ramsey number br(H1,H2,…,Hr)is the minimum integer n such that any r-edge coloring of the complete bipartite graph Kn;n contains a monochromatic subgraph isomorphic to Hi in color i for some 1≤i≤*** show that if r≥3;α1,α2>0,αj+2≥[(j+2)!-1]Σi=1^(j+1)α1 for j=1,2…r-2,then br(C2[α1n],C2[α2n],…,C2[αrn]=(Σ=j=1^(r)a j+o(1))n.

关键词： ramsey number bipartite ramsey number regularity lemma

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