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Enhanced dynamics of Al^(3+)/H^(+) ions in aqueous aluminum ion batteries:Construction of metastable structures in vanadium pentoxide upon oxygen vacancies

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Journal of Energy Chemistry 2025年第2期101卷 562-569,I0011页

作者： Zhibao Wang Hanqing Gu Tianci Wu Wenming Zhang Zhanyu Li Hebei Key Laboratory of Optic-Electronic Information and Materials National&Local Joint Engineering Laboratory of New Energy Photoelectric DevicesCollege of Physics Science and TechnologyHebei UniversityBaoding 071002HebeiChina

In recent years,aqueous aluminum ion batteries have been widely studied owing to their abundant energy storage and high theo retical *** in-depth study of vanadium oxide materials is necessary to address the precipitation of insoluble products covered cathode surface and the slow reaction ***,a method using a simple one-step hydrothermal preparation and oxalic acid to regulate oxygen vacancies has been reported.A high starting capacity(400 mAh g^(-1))can be achieved by Ov-V2O5,and it is capable of undergoing 200 cycles at 0.4 A g^(-1),with a termination discharge capacity of103 mAh g^(-1).Mechanism analysis demonstrated that metastable structures(AlxV2O5and HxV2O5)were constructed through the insertion of Al^(3+)/H^(+)during discharging,which existed in the lattice intercalation with *** incorporation of oxygen vacancies lowers the reaction energy barrier while improving the ion transport *** addition,the metastable structure allows the electrostatic interaction between Al3+and the main backbone to establish protection and optimize the transport *** parallel,this work exploits ex-situ characterization and DFT to obtain a profound insight into the instrumental effect of oxygen vacancies in the construction of metastable structures during in-situ electrochemical activation,with a view to better understanding the mechanism of the synergistic participation of Al3+and H+in the *** work not only reports a method for cathode materials to modulate oxygen vacancies,but also lays the foundation for a deeper understanding of the metastable structure of vanadium oxides.

关键词： Vanadium pentoxide Oxygen vacancies Electrochemical activation Metastable structure

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Enhancing H^(+)intercalation kinetics and stability in Cu^(2+)pre-intercalatedδ-MnO_(2)for aqueous aluminum batteries

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Journal of Energy Chemistry 2025年第3期102卷 126-133页

作者： Hanqing Gu Mingjun Chen Zhibao Wang Wenming Zhang Zhanyu Li Hebei Key Laboratory of Optic-Electronic Information and Materials National&Local Joint Engineering Laboratory of New Energy Photoelectric DevicesCollege of Physics Science and TechnologyHebei UniversityBaoding 071002HebeiChina

Aqueous aluminum ion batteries(AAIBs)have garnered extensive attention due to their environmental friendliness,high theoretical capacity,and low ***,the sluggish reaction kinetics and severe structural collapse of the cathode material,especially manganese oxide,during the cycling process have hindered its further ***,Cu^(2+)pre-interca la ted layeredδ-MnO_(2)was synthesized via a hydrothermal *** pre-intercalated Cu^(2+)ions not only improve the conductivity of MnO_(2)cathode but also stabilize the structure to enhance stability.X-ray absorption fine structure(XAFS)combined with density functional theory(DFT)calculations confirm the formation of the covalent bond between Cu and O,increasing the electronegativity of O atoms and enhancing the H^(+)adsorption ***,ex-situ measurements not only elucidate the Al^(3+)/H^(+)co-insertion energy storage mechanism but also demonstrate the high reversibility of the Cu-MnO_(2)cathode during *** work provides a promising modification approach for the application of manganese oxides in AAIBs.

关键词： Aqueous aluminum-ion batteries Energy storage mechanism MnO_(2)cathodes Cu^(2+)pre-intercalated

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Transverse Velocity Field Measurement of Solar High-resolution Images Based on Unsupervised Deep Learning

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Research in Astronomy and Astrophysics 2025年第3期25卷 236-248页

作者： Zhen-Hong Shang Long Chen Zhen-Ping Qiang Yi Bi Run-Xin Li Faculty of Information Engineering and Automation Kunming University of Science and Technology Yunnan Key Laboratory of Artificial Intelligence Kunming University of Science and Technology College of Big Data and Intelligent Engineering Southwest Forestry University Yunnan Observatories Chinese Academy of Sciences

Measuring the transverse velocity field in high-resolution solar images is essential for understanding solar *** paper introduces an innovative unsupervised deep learning optical flow model designed to calculate the transverse velocity field,addressing the challenges of missing optical flow labels and the limited accuracy of velocity field measurements in high-resolution solar *** proposed method converts the transverse velocity field computation problem into an optical flow computation problem,using two forward propagations of features to get rid of the reliance on optical flow ***,it reduces the impact of the“Brightness Consistency”constraint on optical flow accuracy by identifying and handling optical flow *** apply this method to compute the transverse velocity fields of high-resolution solar image sequences from the Hαand TiO bands,observed by the New Vacuum Solar *** experiments with several wellestablished optical flow methods,including those based on supervised deep learning models,show that our approach outperforms the comparison methods according to key evaluation metrics such as Residual Map Mean,Residual Map Variance,Cross Correlation,and Structural Similarity Index ***,since optical flow captures the fundamental motion information in image sequences,the proposed method can be applied to a variety of research areas,including solar image registration,sequence alignment,image super-resolution,magnetic field calibration,and solar activity *** code is available at https://***/jackie-willianm/Transverse-Velocity-Field-Measurement-of-Solar-High-Resolution-Images.

关键词： methods: data analysis Sun: fundamental parameters techniques: image processing

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Boosting bulk photovoltaic effect in transition metal dichalcogenide by edge semimetal contact

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Light(science & Applications) 2025年第1期14卷 197-205页

作者： Shuang Qiao Jihong Liu Chengdong Yao Ni Yang Fangyuan Zheng Wanqing Meng Yi Wan Philip C.Y.Chow Dong-Keun Ki Lijie Zhang Yumeng Shi Lain-Jong Li Hebei Key Laboratory of Optic-Electronic Information and Materials College of Physics Science and TechnologyHebei University071002BaodingChina Department of Mechanical Engineering The University of Hong KongHong KongChina Department of Physics and HK Institute of Quantum Science&Technology The University of Hong KongHong KongChina Key Laboratory of Carbon Materials of Zhejiang Province College of Chemistry and Materials EngineeringWenzhou UniversityWenzhouChina Key Laboratory of Luminescence and Optical Information Ministry of EducationSchool of Physical Science and EngineeringBeijing Jiaotong University100044BeijingChina

Oxide materials with a non-centrosymmetric structure exhibit bulk photovoltaic effect(BPVE)but with a low cell *** the past few years,relatively larger BPVE coefficients have been reported for two-dimensional(2D)layers and stacks with asymmety-induced spontaneous ***,we report a crucial breakthrough in boosting the BPVE in 3R-MoS2 by adopting edge contact(EC)geometry using bismuth semimetal *** clear contrast to the typically used top contact(TC)geometry,the EC metal which strongly adheres to the edges and the subtrates can induce a pronounced tensile strain to the 3R-MoS2,and the lateral contact geometry allows to completely access to in-plane polarization from underneath layers reachable by light,leading to>100 times of BPVE enhancement in *** further design a 3R-MoS2/WSe2 heterojunction to demonstrate constructive coupling of BPVE with the conventional photovoltaic effect,indicating their potential in photodetectors and photovoltaic devices.

关键词： effect geometry breakthrough

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Extracting High-Discriminative Features for Detecting Double JPEG Compression With the Same Quantization Matrix

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IEEE Transactions on Circuits and systems for Video technology 2025年第5期35卷 4727-4739页

作者： Li, Wenjie Li, Xiaolong Ni, Rongrong Zhao, Yao Tianjin University of Technology School of Computer Science and Engineering Tianjin300384 China Beijing Jiaotong University Institute of Information Science Beijing100044 China Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China

Detecting double JPEG compression with the same quantization matrix is a crucial yet challenging task in image forensics. Existing methods often fail to accurately identify and fully exploit the differences between singly and doubly compressed images, resulting in unsatisfactory detection performance, especially for cases with low quality factors (QFs). To address this issue, a novel method is proposed to extract highly discriminative features for performance enhancement. First, we design a new error block classification method that categorizes error blocks into stable error blocks, rounding error blocks (REBs), and truncation error blocks (TEBs). This classification method enables more accurate identification of TEBs, which are the most discriminative blocks in error images for cases with low QFs. Then, based on the theoretical analysis of REBs and TEBs, an intrinsic variable that directly leads to the differences between two classes of images is derived, providing more essential characteristics for the detection. Finally, a number of 25-dimensional highly discriminative features are extracted from REBs, TEBs, and flat blocks. Experimental results demonstrate that the proposed method outperforms several state-of-the-art works, especially on images with low QFs. © 1991-2012 IEEE.

关键词： Image compression

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Hemilabileα-Diimine Nickel Catalyzed Olefin Polymerization

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Chinese Journal of Chemistry 2025年第5期43卷 517-523页

作者： Muhammad Asadullah Khan Yue Liu Wenmin Pang Ao Chen Min Chen CAS Key Laboratory of Soft Matter Chemistry Department of Polymer Science and EngineeringUniversity of Science and Technology of ChinaHefeiAnhui230026 China Institutes of Physical Science and Information Technology Anhui UniversityHefeiAnhui230601 China

Comprehensive Summary For coordination-insertion olefin polymerization,the development of novel transition-metal catalysts has drawn extensive attention in this *** this contribution,we designed a series of hemilabileα-diimine nickel catalysts bearing oxygen atom as neighboring *** steric hindrance and oxygen atom number of these nickel complexes(Ni1—Ni4)could be adjusted,which influenced ethylene(co)polymerization processes.

关键词： Homogeneous catalysis Olefin polymerization Nickel catalyst Hemilabile effects Catalytic activity Copolymers

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Spatiotemporal influence of driving factors on water conservation in underdeveloped plateau regions: a case in the Yellow River Basin of Sichuan, China

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Journal of Mountain science 2025年第4期22卷 1289-1305页

作者： WANG Xuan MA Lei LU Heng LIU Chao NIE Ruihua LI Naiwen TAN Xiao YANG Zhengli Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural ResourcesSchool of Geography and Ocean ScienceNanjing UniversityNanjing 210023China State Key Laboratory of Hydraulics and Mountain River Engineering College of Hydraulic and Hydroelectric EngineeringSichuan UniversityChengdu 610065China

The Yellow River Basin in Sichuan Province(YRS)is undergoing severe soil erosion and exacerbated ecological vulnerability,which collectively pose formidable challenges for regional water conservation(WC)and sustainable *** effectively enhancing WC necessitates a comprehensive understanding of its driving factors and corresponding intervention strategies,existing studies have largely neglected the spatiotemporal heterogeneity of both natural and socio-economic ***,this study explored the spatiotemporal heterogeneity of WC drivers in YRS using multi-scale geographically weighted regression(MGWR)and geographically and temporally weighted regression(GTWR)models from an eco-hydrological *** discovered that downstream regions,which are more developed,achieved significantly better WC than upstream *** results also demonstrated that the influence of temperature and wind speed is consistently dominant and temporally stable due to climate stability,while the influence of vegetation shifted from negative to positive around 2010,likely indicating greater benefits from understory *** growth positively impacted WC in upstream regions but had a negative effect in the more developed downstream *** findings highlight the importance of targeted water conservation strategies,including locally appropriate revegetation,optimization of agricultural and economic structures,and the establishment of eco-compensation mechanisms for ecological conservation and sustainable development.

关键词： Water conservation Multi-scale Geographically Weighted Regression Geographically and Temporally Weighted Regression The Yellow River Basin in Sichuan Province Spatiotemporal variation

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UDI-3DVT: A Novel Network for 3-D Reconstruction via Uncertainty-Driven Sampling and Incremental Visual-Tactile Fusion

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IEEE Sensors Journal 2025年第6期25卷 10358-10369页

作者： Zhang, Chenyang Zhang, Shaohua Li, Yao Chen, Wenbai Gao, Guowei Wu, Peiliang Yanshan University Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province School of Information Science and Engineering Qinhuangdao066004 China Beijing Information Science and Technology University School of Automation Beijing100192 China

The fusion of visual and tactile senses allows robots to reconstruct and understand objects, aiding in downstream tasks such as object recognition and object grasping. However, most existing visual-tactile reconstruction methods typically overlook the role of visual point cloud processing in reconstruction, sampling points using generative-based methods rather than uncertainty-driven approaches. In addition, these methods only concatenate visual and tactile features, failing to fully leverage the complementary advantages of these two modalities, resulting in unsatisfactory reconstruction results. To address this issue, leveraging the open-source GelSight tactile sensor, this article proposes a novel method called UDI-3DVT, which reconstructs 3-D shapes by combining visual point clouds and multiple tactile images. Specifically, we explore the uncertainty of point clouds, performing additional sampling on high-uncertainty edge points, and propose an attention-based point cloud sampling method. Then, the framework leverages the efficiency of convolutional neural network (CNN) in image processing and the transformer's superiority in context modeling by using CNN for tactile features and transformer for visual features. A feature fusion module based on 1 × 1 convolution is designed to aggregate features from two branches. By gradually adding tactile features, we achieve incremental visual-tactile integration. Furthermore, since the contact-based perception of tactile sensors may cause slight deformations in objects, UDI-3DVT supports the reconstruction of both rigid and deformable objects. Extensive experiments demonstrate that our proposed framework outperforms current state-of-the-art (SOTA) methods, especially the Chamfer distance (CD) metric increased by 14.8%. © 2001-2012 IEEE.

关键词： Image reconstruction

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Low dielectric loss in vanadium-based zircon ceramics via high-entropy strategy

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Journal of Advanced Ceramics 2025年第1期14卷 151-161页

作者： Yuheng Zhang Huaicheng Xiang Xiaoyu Wu Yang Zhou Ying Tang Liang Fang College of Physics and Electronic Information Engineering Guilin University of TechnologyGuilin 541004China Guangxi Universities Key Laboratory of Non-Ferrous Metal Oxide Electronic Functional Materials and Devices Guangxi Key Laboratory of Optical and Electronic Materials and DevicesCollege of Materials Science and EngineeringGuilin University of TechnologyGuilin 541004China

Zircon ceramics have potential applications in next-generation wireless communication because of their low permittivity and adjustable temperature coefficient at microwave ***,the vast challenge of realizing ultralow dielectric loss still ***,we propose a high-entropy strategy to enhance the bonding of the A-site dodecahedron in zircon and design(Nd_(0.2)Eu_(0.2)Y_(0.2)Ho_(0.2)Yb_(0.2))VO_(4) ceramics with a high quality factor(high Q×f,that is,low dielectric loss).The(Nd_(0.2)Eu_(0.2)Y_(0.2)Ho_(0.2)Yb_(0.2))VO_(4) high-entropy ceramics,which belong to the tetragonal zircon structure with the I4_(1)/amd space group,exhibit a low relative permittivity(ε_(r)=11.55),a negative temperature coefficient of resonant frequency(τ_(f)=−37.3 ppm/℃),and a high Q×f of 76,400 GHz(at 12.31 GHz).The high Q×f value can be attributed to the high chemical bond strength and structural ***,the relationship between the crystal structure and the microwave dielectric properties of(Nd_(0.2)Eu_(0.2)Y_(0.2)Ho_(0.2)Yb_(0.2))VO_(4) high-entropy ceramics was analyzed through high resolution transmission electron microscopy(HRTEM),Raman spectroscopy,far-infrared reflection spectroscopy,and chemical bond *** work provides an effective avenue for designing microwave dielectric materials with low loss to meet the demands of passive components.

关键词： high-entropy ceramics vanadium-based zircon microwave dielectric properties low dielectric loss chemical bond characteristics

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BayProNet: Advancing Few-Shot Learning with Bayesian Prototype Network 24

BayProNet: Advancing Few-Shot Learning with Bayesian Prototy...

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8th International Conference on Computer science and Artificial Intelligence, CSAI 2024

作者： Gao, Cheng Lang Miao, Jiang Hui, Chen Hong Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology HuNan ChangSha China

ISBN: (纸本)9798400718182

Text classification is a challenging task in the field of Natural Language Processing (NLP), and significant progress has been made using deep learning methods. Traditional deep-learning approaches for text classification require large amounts of data, thereby performing suboptimally in few-shot data scenarios. To alleviate this bottleneck, this study proposes a Bayesian Prototypical Network with Hybrid Attention (BayProNet) to improve the accuracy of few-shot text classification. Experimental results on the Clinc150 dataset show that the model significantly outperforms existing SOTA baseline models in terms of classification accuracy and also exhibits strong stability when handling noisy data. This research validates the effectiveness and superiority of Bayesian Prototypical Networks in few-shot text classification tasks. © 2024 Copyright held by the owner/author(s).

关键词： Zero-shot learning

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