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Electrochemical dissolution, reduction, and nucleation mechanisms of molybdenum in NaCl-KCl molten salt systems

Journal of Materials Science and technology 2025年 238卷 45-54页

作者： Lv, Hongzhan Zhang, Liwen Xi, Xiaoli Nie, Zuoren Collaborative Innovation Center of Capital Resource-Recycling Material Technology Beijing University of Technology Beijing100124 China Key Laboratory of Advanced Functional Materials Ministry of Education Faculty of Materials and Manufacturing Beijing University of Technology Beijing100124 China National Engineering Laboratory for Industrial Big-data Application Technology Beijing University of Technology Beijing100124 China

This study investigates the anodic dissolution and electrochemical behavior of molybdenum in a NaCl-KCl molten salt system at 1023 K. The anodic dissolution process was systematically analyzed, revealing a sequential oxidation pathway of molybdenum into high-valence ions (Mo6+, Mo5+, Mo4+) under varying electrolysis potentials. Electrochemical Impedance Spectroscopy (EIS) demonstrated that the dissolution is governed by both charge transfer and diffusion mechanisms, with reduced impedance at higher potentials facilitating molybdenum dissolution. The reduction behavior of dissolved molybdenum ions was further explored using cyclic voltammetry (CV) and square wave voltammetry (SWV), confirming a multi-step reduction process controlled by diffusion and high reversibility. Nucleation studies using chronoamperometry established that molybdenum deposition follows an instantaneous nucleation mechanism. Morphological analysis of cathodic deposits revealed that current density significantly influences particle size, transitioning from nano-sized spherical particles to larger equiaxed crystals with increasing current density. These findings provide a comprehensive understanding of molybdenum's electrochemical properties in molten salts, offering valuable insights for optimizing electrolysis processes and advancing molybdenum-based material production. © 2025

关键词： Cyclic voltammetry

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MP-DPCC: A Motion Proxy-Based Dynamic Point Cloud Compression Framework

MP-DPCC: A Motion Proxy-Based Dynamic Point Cloud Compressio...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Jiang, ZhaoYi Han, Dong Song, Cao Nan, FangZhe Yang, Bailin School of Computer Science and Technolgy Zhejiang Gongshang University China School of Statistics and Mathematics Zhejiang Gongshang University China Economic Forecasting and Policy Simulation Laboratory Zhejiang Gongshang University China Collaborative Innovation Center of Statistical Data Engineering Technology & Application Zhejiang Gongshang University China

ISBN: (纸本)9798350368741

The increasing data volume and the demand for real-time transmission highlight the necessity for efficient compression of dynamic point cloud data. Existing methods primarily focus on reducing inter-frame redundancy by calculating per-point motion information, overlooking the computational and storage costs involved. In this paper, we propose a novel motion proxy-based dynamic point cloud compression framework to enhance the efficiency and accuracy of motion information utilization. Specifically, we introduce a feature proxy module to adaptively locate proxy points, which represent the overall motion through the motion of proxy points. Additionally, a motion enhancement module is employed to refine motion details and prevent local information loss caused by dense motion trajectories. Extensive experiments demonstrate the superiority of our approach. Compared with baseline methods, it achieves an average BD-rate improvement of 12.07% (D1) and 11.90% (D2). © 2025 IEEE.

关键词： compression deep learning neural network point cloud

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MP-DPCC: A Motion Proxy-Based Dynamic Point Cloud Compression Framework

MP-DPCC: A Motion Proxy-Based Dynamic Point Cloud Compressio...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： ZhaoYi Jiang Dong Han Cao Song FangZhe Nan Bailin Yang School of Computer Science and Technolgy Zhejiang Gongshang University School of Statistics and Mathematics Zhejiang Gongshang University Economic Forecasting and Policy Simulation Laboratory Zhejiang Gongshang University Collaborative Innovation Center of Statistical Data Engineering Technology & Application Zhejiang Gongshang University

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

关键词： Point cloud compression Costs Accuracy Dynamics Termination of employment Signal processing Real-time systems Acoustics Trajectory Speech processing

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Towards Generalizable Physical Attacks Against Remote Sensing Building Change Detection

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IEEE Transactions on Geoscience and Remote Sensing 2025年

作者： Hao, Mengze Dang, Bo Li, Yansheng Wuhan University School of Remote Sensing and Information Engineering Wuhan430079 China Ministry of Natural Resources Technology Innovation Center for Collaborative Application of Natural Resources Data in GBA Guangzhou510075 China

Deep networks have been widely used in remote sensing building change detection (BCD) and achieved good performances. However, the BCD networks are vulnerable to adversarial attacks. Previous physical adversarial attacks in remote sensing focused on image-level tasks and instance-level tasks, we propose a generalizable physical attacks (GPA) framework for the pixel-level BCD task. The GPA framework is in the joint task-instance space to generate the universal physical adversarial patch which can cheat unseen models. It involves white-box attacks and black-box attacks. To solve the problem of the singular adversarial patch position and the singular target task in existing works, we propose an adaptive adversarial patch position module and present a feature loss for bi-temporal remote sensing images in white-box attacks. To enhance the generalization of the patch, we propose a method in the joint task-instance space to learn the black-box adversarial patch. Extensive experiments on the widely used remote sensing image BCD dataset shows the proposed adversarial attacks against BCD achieve better performance compared with state-of-the-art methods. In particular, our GPA elevates ASRp and CD_Rate for all buildings by an average of 29.31%, 13.92% in the white-box scenario, and 3.92%, 3.59% in the strict black-box scenario. Real-world experiments with printed patches on physical building models further demonstrate that our GPA can attack the BCD networks. © 1980-2012 IEEE.

关键词： Adversarial patch building change detection physical attack task-instance space

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How Differences in Rice Texture and Oral Physiology Affect Sensory Preference and Eating Behavior of Consumers: A Generalized Additive Models (Gams) Approach

SSRN

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SSRN 2025年

作者： Zhao, Zhen Wang, Zuo Zhu, Jingye Xu, Ancha McClements, David Julian Chen, Jianshe Chen, Yong School of Food Science and Biotechnology Zhejiang Gongshang University Zhejiang Hangzhou310018 China Zhejiang-UK Joint Laboratory of Food Sensory Science Zhejiang Gongshang University Hangzhou310018 China School of Statistics and Mathematics Zhejiang Gongshang University Hangzhou310018 China Collaborative Innovation Center of Statistical Data Engineering Technology & Application Zhejiang Gongshang University Hangzhou310018 China Biopolymers and Colloids Laboratory Department of Food Science University of Massachusetts AmherstMA01003 United States

Both food texture and human oral physiology impact consumer preferences and eating behavior. However, the complex relationships between them are difficult to explain using simple mathematical models. For this reason, the potential of a generalized additive model (GAM) to relate food texture to oral physiology during the development of healthier foods was investigated. This semiparametric model combines the advantages of both parametric and nonparametric models. The oral behavior of a modified Japonica rice (JM), a low glycemic index (GI) food rich in resistant starch, was compared to that of regular Japonica rice (JR). Both JM and JR were cooked at three water-to-rice (W/R) ratios (low, recommended, high) to obtain samples with different textural properties. The oral physiological parameters of seventeen participants were measured, including biting force and saliva properties. Furthermore, time-intensity (TI) analysis, video recording and electromyography (EMG) were used to provide multiple dynamic sensory analyses. JM required more chewing cycles and longer chewing durations than JR, due to its firmer textural attributes. Linear GAM analysis demonstrated that high hardness and low stickiness of rice led to more chews, chewing duration, and muscle activities, raising the oral processing load and lowering consumer preference. Additionally, nonlinear GAM analysis indicated that saliva flow rate and mucin concentration were negatively correlated with both chewing frequency and duration. A simulated gastrointestinal model showed that JM was digested more slowly than JR. In summary, this study provided valuable insights for optimizing the sensory attributes of high-resistant starch rice to enhance its palatability and consumer acceptance. © 2025, The Authors. All rights reserved.

关键词： Sensory analysis

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Weighted local polynomial estimations of a non-parametric function with censoring indicators missing at random and their applications

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Frontiers of Mathematics in China 2022年第1期17卷 117-139页

作者： Jiangfeng WANG Yangcheng ZHOU Ju TANG School of Statistics and Mathematics Zhejiang Gongshang UniversityHangzhou 310018China Collaborative Innovation Center of Statistical Data Engineering Technology&ApplicationZhejiang Gongshang UniversityHangzhou 310018China

In this paper,we consider the weighted local polynomial calibration estimation and imputation estimation of a non-parametric function when the data are right censored and the censoring indicators are missing at random,and establish the asymptotic normality of these *** their applications,we derive the weighted local linear calibration estimators and imputation estimations of the conditional distribution function,the conditional density function and the conditional quantile function,and investigate the asymptotic normality of these ***,the simulation studies are conducted to illustrate the finite sample performance of the estimators.

关键词： Local polynomial estimation asymptotic normality non-parametric function censoring indicator missing at random

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Toward Generalizable Physical Attacks Against Remote Sensing Building Change Detection

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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Mengze Hao Bo Dang Yansheng Li School of Remote Sensing and Information Engineering Wuhan University Wuhan China Technology Innovation Center for Collaborative Application of Natural Resources Data in GBA Ministry of Natural Resources Guangzhou China

Deep networks have been widely used in remote sensing building change detection (BCD) and achieved good performances. However, the BCD networks are vulnerable to adversarial attacks. Previous physical adversarial attacks in remote sensing focused on image-level tasks and instance-level tasks, and we propose a generalizable physical attack (GPA) framework for the pixel-level BCD task. The GPA framework is in the joint task-instance space to generate the universal physical adversarial patch which can cheat unseen models. It involves white-box attacks and black-box attacks. To solve the problem of the singular adversarial patch position and the singular target task in existing works, we propose an adaptive adversarial patch position module (ADPO) and present a feature loss for bitemporal remote sensing images in white-box attacks. To enhance the generalization of the patch, we propose a method in the joint task-instance space to learn the black-box adversarial patch. Extensive experiments on the widely used remote sensing image BCD dataset show that the proposed adversarial attacks against BCD achieve better performance compared with state-of-the-art methods. In particular, our GPA elevates ${\text {ASR}}_{p}$ and $\mathrm {CD\_Rate}$ for all buildings by an average of 29.31%, 13.92% in the white-box scenario, and 3.92%, 3.59% in the strict black-box scenario. Real-world experiments with printed patches on physical building models further demonstrate that our GPA can attack the BCD networks. The source code and associated datasets are available at http://***/hhhh420/adversarial_patch_BCD

关键词： Buildings Closed box Remote sensing Glass box Adaptation models Training Perturbation methods Object detection Image color analysis data mining

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HARNACK TYPE INEQUALITIES FOR SDES DRIVEN BY FRACTIONAL BROWNIAN MOTION WITH MARKOVIAN SWITCHING

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Acta Mathematica Scientia 2023年第3期43卷 1403-1414页

作者：裴雯熠闫理坦陈振龙 School of Statistics and Mathematics Zhejiang Gongshang UniversityZhejiang310018China Collaborative Innovation Center of Statistical Data Engineering Technology&ApplicationZhejiang Gongshang UniversityZhejiang310018China Department of Statistics Donghua UniversityShanghai201620China

In this paper, by constructing a coupling equation, we establish the Harnack type inequalities for stochastic differential equations driven by fractional Brownian motion with Markovian switching. The Hurst parameter H... 详细信息

关键词： stochastic differential equations Harnack type inequalities fractional Brownian motion Markovian switching

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Ensemble Classifier Design Based on Perturbation Binary Salp Swarm Algorithm for Classification

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Computer Modeling in engineering & Sciences 2023年第4期135卷 653-671页

作者： Xuhui Zhu Pingfan Xia Qizhi He Zhiwei Ni Liping Ni School of Management Hefei University of TechnologyHefei230009China School of Statistics Zhejiang Gongshang UniversityHangzhou310018China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of EducationHefei230009China Collaborative Innovation Center for Statistical Data Engineering Technology and Application ZhejiangGongshang UniversityHangzhou310018China

Multiple classifier system exhibits strong classification capacity compared with single classifiers,but they require significant computational *** ensemble system aims to attain equivalent or better classification accuracy with fewer ***,current methods fail to identify precise solutions for constructing an ensemble *** this study,we propose an ensemble classifier design technique based on the perturbation binary salp swarm algorithm(ECDPB).Considering that extreme learning machines(ELMs)have rapid learning rates and good generalization ability,they can serve as the basic classifier for creating multiple candidates while using fewer computational ***,we introduce a combined diversity measure by taking the complementarity and accuracy of ELMs into account;it is used to identify the ELMs that have good diversity and low *** addition,we propose an ECDPB with powerful optimizing ability;it is employed to find the optimal subset of *** selected ELMs can then be used to forman ensemble *** on 10 benchmark datasets have been conducted,and the results demonstrate that the proposed ECDPB delivers superior classification capacity when compared with alternative methods.

关键词： Ensemble classifier salp swarmalgorithm diversity measure multiple classifiers system extreme learning machine

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Accuracy Raising Technique for Multivariate Spline Quasi-Interpolants over Type-2 Triangulations

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Journal of Mathematical Research with applications 2022年第3期42卷 318-330页

作者： Shenggang ZHANG Chungang ZHU Qinjiao GAO School of Science Zhejiang University of Science and Technology School of Mathematical Sciences Dalian University of Technology School of Statistics and Mathematics Zhejiang Gongshang University Collaborative Innovation Center of Statistical Data Engineering Technology & ApplicationZhejiang Gongshang University

Given a multivariate quasi-interpolation operator with the partition of unity property,we propose a method to raise the accuracy with simple knots. The resulting operators possess higher accuracy while not requiring any derivative information of the underlying function. On that basis, we improve the multivariate spline quasi-interpolants with higher accuracy over type-2triangulations. Moreover, we apply the improved quasi-interpolants to simulate time developing partial differential equations(PDEs). The numerical experiments verify the efficiency of the proposed methods.

关键词： quasi-interpolation polynomial reproduction multivariate spline numerical solution

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