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Rapid Tectonic Transition, Crust-Mantle Interaction And Gold Metallogenesis In the Jiaodong Peninsula, Southeastern North China Craton: Revealed by Early Cretaceous Granitoids and Microgranular Mafic Enclaves

SSRN

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SSRN 2024年

作者： Wang, Bin Ding, Zheng-Jiang Zhou, Jian-Bo Qiu, Kun-Feng Sun, Feng-Yue College of Earth Sciences Jilin University Changchun130061 China Ministry of Natural Resources Technology Innovation Center for Deep Gold Resources Exploration and Mining Weihai264209 China Development and Application of Big Data for Deep Exploration of Gold Mines Shandong Engineering Research Center Weihai264209 China No. 6 Geological Team of Shandong Provincial Bureau of Geology and Mineral Resources Weihai264209 China School of Space Science and Physics Shandong University Weihai264209 China School of Earth Sciences and Resources China University of Geosciences Beijing100083 China

The Early Cretaceous granitoids and mafic enclaves (MEs) are widely distributed in the Jiaodong Peninsula, which imply relevant information about tectono–magmatic evolution and gold mineralization. Zircon geochronology, whole–rock major and trace elements, and Sr–Nd–Pb isotopic compositions of the Early Cretaceous Guojialing and Weideshan suites and MEs in the Jiaodong Peninsula are presented in this contribution. These three kinds of rocks were emplaced at 128.8 ± 0.9 to 128.4 ± 0.9 Ma and 118.5 ± 0.7 to 117.9 ± 1.2 Ma, respectively, which represent two magmatic events. The Early Cretaceous granitoids were both generated by varying degrees of interaction and mixing of lower crust and lithospheric mantle magma. Adakitic MEs were originated from magma mingling and homogenization of lower crustal felsic magma and mantle–derived basaltic magma. Mafic components of arc–like MEs were derived from partial melting of the metasomatized lithospheric mantle. The Early Cretaceous magmatism in the Jiaodong Peninsula reflects the geodynamic evolution process, demonstrating the transition from the subduction and collision of the Paleo–Pacific Oceanic Plate (PPOP) beneath the North China Craton (NCC) to roll–back of the subducted PPOP slab, with crustal thickening alternating with lithospheric thinning, and compressional changing to extensional setting alternately. The early Early Cretaceous magmatism marks the culmination of the crustal thickening event in the Jiaodong Peninsula. The short interval (ca. 10 Ma) between the two magmatic events supports intensified lithospheric delamination. Lithospheric delamination at ca. 120 Ma triggered upwelling of enriched lithospheric mantle–derived melts, which migrated massive volatiles and ore–forming materials along fractures to shallow crustal levels, and crust–mantle interactions may further enriched gold metal. The extensional fault system provides favorable loci for the accumulation of auriferous fluids, further governing the spatial

关键词： Geochronology

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DQPS: An Intelligent Multi-Hop Computation Offloading Scheme for Workflow Applications in Vehicular Edge Computing Networks

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IEEE Transactions on Consumer Electronics 2024年

作者： Lin, Bing Chen, Qiaoxin Chen, Xing Jia, Wen-Kang Lu, Yu Xiong, Neal N. Fujian Normal University College of Physics and Energy Fujian Provincial Key Laboratory of Quantum Manipulation and New Energy Materials Fuzhou350117 China Fujian Provincial Collaborative Innovation Center for Advanced High-Field Superconducting Materials and Engineering Fuzhou350117 China Peking University School of Computer Science 100871 China Xiamen University Department of Informatics and Communication Engineering Xiamen361005 China Fuzhou University College of Computer and Data Science Fuzhou350118 China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou350118 China Fujian Normal University College of Photonic and Electronic Engineering Fuzhou350117 China Fujian Normal University Concord University College Fuzhou350117 China Sul Ross State University Department of Computer Mathematical and Physical Sciences AlpineTX79830 United States

Vehicular Edge Computing (VEC) is a feasible solution for autonomous driving as it can offload latency-sensitive and computation-intensive tasks from vehicle terminals to roadside units (RSUs) for real-time processing. Due to the high computational resource the workflow applications (i.e., autonomous driving) required, the small vehicle-to-RSUs communication range, and the scarce available resources for each vehicle, it might be difficult to accomplish complex workflow applications through the single-hop offloading paradigm in the Internet of Vehicles (IoV). In this paper, we propose a reinforcement learning (RL) based multi-hop computation offloading scheme for workflow applications to reduce their execution latency in the VEC networks, which considers the data dependency in workflow applications as well as the trust relationship and communication interference among RSUs. Firstly, a preprocessing method is employed to merge the cut-edges in a workflow to reduce the offloading scale of tasks and compress the encoding dimension of offloading solutions. Then, a Deep Q-network algorithm using Phase-optimal State update (DQPS) is proposed to update the offloading policy distribution, in which the deviation of the phase-optimal state from the current state is estimated as the reward of RL to promote the algorithm's convergence to adapt the dynamic VEC networks. Simulation results show that DQPS has the best performance compared to other benchmark schemes. Moreover, the latency of the identical applications can be reduced by 2.5%-25.3% through our offloading scheme with a multi-hop model compared to that with the single-hop paradigm in IoV. © 1975-2011 IEEE.

关键词： Computation offloading

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A Pose Measurement Method of Non-cooperative Target Based on Monocular Vision

A Pose Measurement Method of Non-cooperative Target Based on...

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第33届中国控制与决策会议

作者： Chenrong Long Zhining Bai Shuai Zhi Chengbo Qiu Yamin Wang Qinglei Hu School of Automation Science and Electrical Engineering Beihang University Beijing Institute of Space Mechanics and Electricity Key lab of Microsatellite Chinese Academy of Sciences Innovation Academy for Microsatellites of CAS Beijing Advanced Innovation Center for Big-Data Based Precision Medicine Beihang University

A method based on monocular vision is presented in this paper to estimate the pose of the non-cooperative target *** directly takes the image features of the docking ring and solar panel as the recognized *** circular feature is used to restore two solutions of the relative position and orientation,the vanishing points formed by the two parallel lines of the solar panel are applied to solve the duality problem and restore the roll *** algorithm provides a closed-form solution using simple mathematics,therefore,it is suitable to space applications where the computation capability of the on-board processor is very *** simulations show that the proposed algorithm can effectively estimate the pose of the non-cooperative target spacecraft.

关键词： Non-cooperative target image features docking ring solar panel

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Advances in artificial intelligence techniques drive the application of radiomics in the clinical research of hepatocellular carcinoma

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iLIVER 2022年第1期1卷 49-54页

作者： Jingwei Wei Meng Niu Ouyang Yabo Yu Zhou Xiaoke Ma Xue Yang Hanyu Jiang Hui Hui Hongyi Cao Binwei Duan Hongjun Li Dawei Ding Jie Tian Key Laboratory of Molecular Imaging Institute of AutomationChinese Academy of SciencesBeijing 100190China Beijing Key Laboratory of Molecular Imaging Beijing 100190China Department of Interventional Radiology The First Affiliated Hospital of China Medical UniversityShenyangLiaoning110000China Beijing YouAn Hospital Capital Medical UniversityBeijing Institute of HepatologyBeijing100069China School of Life Science and Technology Xidian UniversityXi'anChina School of Computer Science and Technology Xidian UniversityXi'anShaanxiChina Department of Radiology Beijing Youan HospitalCapital Medical UniverstiyBeijing100069China Department of Radiology West China HospitalSichuan UniversityChengduSichuan 610041China Department of Pathology College of Basic Medical ScienceChina Medical UniversityShenyangLiaoning110000China The Department of General Surgery Center Beijing YouAn HospitalCapital Medical UniversityChina School of Bioengineering Beihang UniversityBeijing100191China School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing 100083China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine School of Medicine Beihang UniversityBeijing100191China Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education School of Life Science and TechnologyXidian UniversityXi'anShaanxi710126China

Hepatocellular carcinoma(HCC)remains the most common malignancy to threaten public health *** advances in artificial intelligence techniques,radiomics for HCC management provides a novel perspective to solve unmet needs in clinical settings,and reveals pixel-level radiological information for medical imaging big data,correlating the radiological phenotype with targeted clinical *** radiomics pipelines depend on handcrafted engineering features,and further deep learning-based radiomics pipelines are supplemented with deep features calculated via self-learning *** the past decade,radiomics has been widely applied in accurate diagnoses and pathological or biological behavior evaluation,as well as in prognosis *** this review,we systematically introduce the main pipelines of artificial intelligence-based radiomics and their efficacy in the clinical studies of HCC.

关键词： Artificial intelligence Diagnosis Hepatocellular carcinoma Prognosis Radiomics

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Polydopamine-Assisted Dual Metal Ion Modification of Titanium: Enhancing Osseointegration and Antibacterial Performance

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SSRN 2025年

作者： Kang, Jingyang Meng, Sikun Liu, Chenhui Wang, Huachun Zhang, Tianzhen Qi, Cheng Li, Mei Cheeloo College of Medicine Shandong University 758 Hefei Road. Shandong Qingdao266035 China Department of Medical Data Science Center of Medical Innovation and Translational Research Osaka University Graduate School of Medicine Suita Yamadaoka 2-2 Osaka565-0871 Japan Key Laboratory for Liquid Solid Structural Evolution and Processing of Materials Ministry of Education School of Materials Science and Engineering Shandong University 17923 Jingshi Road Shandong Jinan250061 China Department of Stomatology Shandong Provincial Third Hospital Shandong University 11 Wuyingshan Middle Road Shandong Jinan250031 China

Titanium (Ti) implants are widely used for tooth replacement due to their exceptional mechanical properties and high biocompatibility. However, their inherently inert surface limits osteogenic potential and makes them prone to bacterial colonization, increasing the risk of biofilm formation and implant-related infections. To address these limitations, surface modification of Ti is essential. This study aimed to enhance the surface properties of Ti by coating it with polydopamine (PDA) and further doping it with copper and calcium ions. TPDA was prepared and subsequently used to fabricate TPDA@Cu and TPDA@CuCa samples. Material characterization confirmed that TPDA@CuCa exhibited excellent surface wettability and biocompatibility, with Cu2+ and Ca2+ being continuously and stably released in liquid environments. Additionally, TPDA@CuCa significantly improved protein adsorption, facilitating favorable cellular interactions. In vitro experiments demonstrated that TPDA@CuCa exhibited strong antimicrobial activity against Escherichia coli and Staphylococcus aureus, enhanced osteoblast adhesion, mineralization, and upregulated osteogenic gene expression. This bifunctional surface modification strategy offers a promising approach to enhancing both the osteogenic and antibacterial properties of Ti implants. © 2025, The Authors. All rights reserved.

关键词： Escherichia coli

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Fault diagnosis of liquid rocket engine thrust chamber based on improved augmented particle filter

Fault diagnosis of liquid rocket engine thrust chamber based...

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第40届中国控制会议

作者： Yangzhi Zeng Xiaodong Shao Qinglei Hu Haifeng Hu Hao Pan School of Automation Science and Electrical Engineering Beihang University School of Aeronautic Science and Engineering Beihang University Beijing Advanced Innovation Center for Big-Data Based Precision Medicine Beihang University Beijing Aerospace Automatic Control Institute China Academy of Launch Vehicle Technology

The fault diagnosis algorithm proposed in this paper firstly establishes the nonlinear thermodynamic model of the thrust chamber of the liquid rocket engine under normal mode and four common fault ***,the particle filter is designed to estimate the output and residuals of the thrust chamber and complete the fault detection task by using the generalized likelihood ratio test ***,an extended fault estimation particle filter is established by merging the fault estimation vector into the extended state estimation vector to complete the task of fault ***,a fault recognition algorithm is designed according to the fault estimation result to complete the fault recognition task in the case of a single fault,at the same time,the recognition result is used to improve the accuracy of the enhanced particle *** proposed method is verified to realize real-time and accurate fault diagnosis of thrust chamber under the influence of uncertain factors such as process and measurement noise.

关键词： Rocket engine thrust chamber fault diagnosis particle filter

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Ultra-compact beam steering nanolasers

arXiv

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arXiv 2024年

作者： Chen, Xinghong Gu, Mingxuan Tang, Jiankai Sang, Yungang Xiang, Bingrui Zhang, Kong Zhang, Guanjie Wang, Xingyuan Guo, Xuhan Zhou, Linjie Wu, Wengang Mao, Yifei School of Sensing Science and Engineering School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu314200 China Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China College of Mathematics and Physics Beijing University of Chemical Technology Beijing100029 China State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Shanghai Institute for Advanced Communication and Data Science Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China National Key Laboratory of Science and Technology on Micro/Nano Fabrication School of Integrated Circuits Peking University Beijing100871 China Beijing Advanced Innovation Center for Integrated Circuits Beijing100871 China Frontiers Science Center for Nano-optoelectronics Peking University Beijing100871 China

The miniaturization and integration of beam steering devices have consistently been the focus of the field. Conventional methods alter the eigenmode of the optical cavity by regulating the refractive index. Due to the weak nonlinear effect of the optical system, the device must be sufficiently large to achieve sufficient light modulation. The effective method for miniaturizing beam steering devices currently in use is based on metasurfaces. However, this type of device necessitates the input of a laser source, which precludes the simultaneous generation and control of light in a single device. Here we propose a miniaturized beam steering device that employs mode selection between different bound states in the continuum (BIC) states through phase change material. The device is capable of simultaneously achieving both light generation and beam steering (33°) in a single device with a size of only 25 μm and with a low threshold of 8.9 kW cm-2. Furthermore, it is possible to achieve a significant degree of dynamic wavelength tunability, with a range extending up to 296 nm. This method achieves high-efficient regulation of light properties by dynamically controlling the system’s topological charge, circumventing the problem of weak nonlinearity in traditional methods. Furthermore, the integration of phase change materials with nanolasers enables the direct alteration of lasing properties, which provides a novel idea for dynamic light control. The device process scheme based on phase change materials is straightforward, direct, and highly compatible, which will be advantageous for its intended application. Copyright © 2024, The Authors. All rights reserved.

关键词： Phase change materials

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Adaptive Switching Control Based on Dynamic Zero Moment Point for Versatile Hip Exoskeleton under Hybrid Locomotion

TechRxiv

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TechRxiv 2022年

作者： Miao, Yinan Wang, XingJian Wang, Shaoping Li, Rufei School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beijing Advanced Innovation Center for Big Data-based Precision Medicine Beihang University Beijing100191 China Qingdao Research Institute of Beihang University Beihang University Qingdao266100 China Beijing Institute of Mechanical Equipment Beijing100143 China

An adaptive switching controller based on dynamic zero moment point for versatile hip exoskeleton is proposed in this work. The linear finite hysteretic state machine is designed to recognize hybrid motion phases. The torque planning strategy based on dynamic zero moment point is deployed to obtain assistant torque adaptively under different locomotion. Experiments are carried out to verify the performance of the controller, confirming the stability and accuracy of the motion phase recognition, which also demonstrates excellent kinematic performance. The net metabolic rate can be reduced by 5.75% while wearing the versatile hip exoskeleton. Compared with existing research, the performance of the proposed controller has significant advantages. The proposed controller is capable of multiple types of locomotion including flat walking, stair climbing, and lifting heavy objects with low complexity and energy consumption. © 2022, CC BY.

关键词： Controllers

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A Rapid Detection Method of Sewing Stitch Defects Based on Machine Vision

SSRN

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SSRN 2023年

作者： Zheng, Xiaohu Chen, Yufan Xu, Xiuliang Liu, Bing Institute of Artificial Intelligence Donghua University Shanghai201620 China Shanghai Industrial Big Data and Intelligent Systems Engineering Technology Center Shanghai201620 China College of Information Science and Technology Donghua University Shanghai201620 China Hangzhou Zhongfu Technology&Innovation Research Institute Co. Ltd Shanghai201620 China Precise Machinery Scientific & Technology Co. Ltd Shanghai201599 China

In order to solve the problem of motion blur caused by sewing speed, an image DeblurGAN-BSV3 algorithm is proposed. Firstly, different attention fusion mechanisms are introduced to achieve accurate extraction of image features. Secondly, the depth-separable convolution of the trunk network is replaced by blueprint convolution to ensure the processing speed of the detection algorithm and the clarity of the output image. In order to solve the difficulty of rapid detection of pin defects, a student-teacher feature pyramid matching method was proposed. Firstly, the abnormal region interpretation technology was used to explicitly visualize the defect area of the identified abnormal instances, and then the abnormal detection score was performed on the detected images to make good judgment. The experimental results show that the combination of the above two methods has a good ability for rapid defect detection. Rapid detection of common pin defects is realized. © 2023, The Authors. All rights reserved.

关键词： Computer vision

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HGeoHashBase: an optimized storage model of spatial objects for location-based services

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Frontiers of Computer science 2020年第1期14卷 208-218页

作者： Jingwei ZHANG Chao YANG Qing YANG Yuming LIN Yanchun ZHANG Guangxi Key Laboratory of Trusted Software Guilin University of Electronic TechnologyGuilin 541004China Guangxi Cooperative Innovation Center of Cloud Computing and Big Data Guilin University of Electronic TechnologyGuilin 541004China Guangxi Key Laboratory of Automatic Measurement Technology and Instrument Guilin University of Electronic TechnologyGuilin 541004China Centre for Applied Informatics College of Engineering and ScienceVictoria UniversityMelbourne 8001Australia

Many location-based services need to query objects existing in a specific space,such as location-based tourism resource *** a large number of spatial objects and the real-time object access requirements of location-based services pose a big challenge for spatial object storage and query *** this paper,we propose HGeoHashBase,an improved storage model by integrating GeoHash with key-value structure,to organize spatial objects for efficient range *** is responsible for spatial encoding and key-value structure as underlying data *** the similarity of the encodings for objects in the close geographical locations and the multi-version data mechanism are blended into the proposed model *** the tradeoff between encoding precision and query performance,a theoretical proof is *** experiments are designed and conducted,whose results show that the proposed model can gain significant performance improvement.

关键词： location-based services distributed storage model storage and access optimization

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