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Engineering eg filling of RuO_(2)enables a robust and stable acidic water oxidation

Chinese Chemical Letters 2025年第3期36卷 444-448页

作者： Qing Li Yumei Feng Yingjie Yu Yazhou Chen Yuhua Xie Fang Luo Zehui Yang State Key Laboratory of New Textile Materials&Advanced Processing Technology College of Materials Science and EngineeringWuhan Textile UniversityWuhan 430200China Faculty of Materials Science and Chemistry China University of Geosciences WuhanWuhan 430074China

Efficient and stable electrocatalyst for oxygen evolution reaction(OER)in acidic environment is vital for polymer electrolyte membrane water electrolysis(PEMWE).In this work,we have devised the formation of heterostructured RuO_(2)/MnO_(2)with nanoflower structure for acidic OER *** to commercial RuO_(2),the overpotential at 50mA/cm^(2)is decreased by 36 mV,corresponding to a 3.7-fold better mass *** boosted acidic OER performance is attributed to the heterostructure inducing more electrons are filled in e_(g)orbital of Ru atom triggering a better deprotonation of bridge oxygen atom in Ru-O_(bri)-Mn structure evidenced by pH-independent cyclic voltammetry ***,RuO_(2)/MnO_(2)sustains its acidic OER activity within 20 h,longer than commercial RuO_(2).The membrane electrode assembly(MEA)test suggests than only 2.18 V is required to achieve a current density of 5 A/cm^(2).The theoretical calculation reveals that the e_(g)filling of Ru atom is increased from 2.18 to 2.39 after MnO_(2)incorporation,reducing the energy for the formation of∗OOH moiety.

关键词： Oxygen evolution reaction Polymer electrolyte membrane water electrolysis Deprotonation e_(g)filling Heterostructure

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Short-Term Residential Load Forecasting via Pooling-Ensemble Model with Smoothing Clustering

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第7期5卷 3690-3702页

作者： Xiao, Jiang-Wen Fang, Hongliang Wang, Yan-Wu Huazhong University of Science and Technology Ministry of Education School of Artificial Intelligence and Automation The Key Laboratory of Image Processing and Intelligent Control Wuhan430074 China

Short-term residential load forecasting is essential to demand side response. However, the frequent spikes in the load and the volatile daily load patterns make it difficult to accurately forecast the load. To deal with these problems, this article proposes a smoothing clustering method for daily load clustering and a pooling-ensemble model for one day ahead load forecasting. The whole short-term load forecasting framework in this article contains three steps. Specifically and first, the states of the residents are obtained by clustering the daily load curves with the proposed smoothing clustering method. Second, a weighted mixed Markov model is built to predict the probability distribution of the load state in the next day. Third, multiple predictors in the pooling-ensemble model are selected for different states and the load is forecasted by weighing the results of the multiple predictors based on the predicted states. Results of the case studies and comparison studies on two public datasets verify the advantages of the smoothing clustering method and the pooling-ensemble model. © 2020 IEEE.

关键词： Probability distributions

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Metalens-based hybrid probe near-infrared endoscope objective

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Optics Express 2025年第3期33卷 5757-5768页

作者： Song, Yichen Mao, Shan Tang, Yufeng Zhao, Jianlin Key Laboratory of Light Field Manipulation and Information Acquisition Ministry of Industry and Information Technology Shaanxi Key Laboratory of Optical Information Technology School of Physical Science and Technology Northwestern Polytechnical University Xi’an710129 China Shaanxi Key Laboratory of Optical Remote Sensing and Intelligent Information Processing Xi’an710119 China

Rapid large-area deep tissue imaging at long working distances is important for clinical diagnosis. A near-infrared metalens-based hybrid probe con-focal micro-endoscope (pCM) objective with a large field of view of 500 µm, a long working distance of 300 µm, and a small caliber of 2.2 mm was designed, which is compatible with conventional endoscopes to produce cell-resolution images of deep tissues. The performance of the metalens-based hybrid objective optical system was analyzed. Results show that the metalens-based hybrid pCM significantly improves the imaging quality of such optical systems under the premise of meeting the design accuracy requirements, which provides a new solution and an effective realization for the design of such optical systems. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Infrared devices

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Image Enhancement via Associated Perturbation Removal and Texture Reconstruction Learning

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IEEE/CAA Journal of Automatica Sinica 2024年第11期11卷 2253-2269页

作者： Kui Jiang Ruoxi Wang Yi Xiao Junjun Jiang Xin Xu Tao Lu IEEE the School of Computer Science and Technology Harbin Institute of Technology Zhengzhou Research Institute Harbin Institute of Technology the School of Artificial Intelligence Jianghan University the School of Geodesy and Geomatics Wuhan University the Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan University of Science and Technology the School of Computer Science and Engineering and also with the Hubei Province Key Laboratory of Intelligent Robot Wuhan Institute of Technology

Degradation under challenging conditions such as rain, haze, and low light not only diminishes content visibility, but also results in additional degradation side effects, including detail occlusion and color distortion. However, current technologies have barely explored the correlation between perturbation removal and background restoration, consequently struggling to generate high-naturalness content in challenging scenarios. In this paper, we rethink the image enhancement task from the perspective of joint optimization: Perturbation removal and texture reconstruction. To this end, we advise an efficient yet effective image enhancement model, termed the perturbation-guided texture reconstruction network(PerTeRNet). It contains two subnetworks designed for the perturbation elimination and texture reconstruction tasks, respectively. To facilitate texture recovery,we develop a novel perturbation-guided texture enhancement module(PerTEM) to connect these two tasks, where informative background features are extracted from the input with the guidance of predicted perturbation priors. To alleviate the learning burden and computational cost, we suggest performing perturbation removal in a sub-space and exploiting super-resolution to infer high-frequency background details. Our PerTeRNet has demonstrated significant superiority over typical methods in both quantitative and qualitative measures, as evidenced by extensive experimental results on popular image enhancement and joint detection tasks. The source code is available at https://***/kuijiang94/PerTeRNet.

关键词： Association learning attention mechanism image enhancement perturbation modeling

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Sound absorption model of thin woven fabric with tortuosity effects by equivalent circuit method 2

Sound absorption model of thin woven fabric with tortuosity ...

引用

2023 2nd International Conference on Acoustics, Fluid Mechanics and Engineering, AFME 2023

作者： Tang, Xiaoning Zhu, Shubing State Key Laboratory for New Textile Materials and Advanced Processing Technology School of Textile Science and Engineering Wuhan Textile University Hubei Wuhan430200 China

The fabric has been widely used as a noise-reduction material. This paper presents a revised equivalent circuit model to simulate the acoustical behavior of woven fabric with backing an air gap, with a special focus on including a tortuosity parameter. The simulated sound absorption of three fabrics with and without the tortuosity parameter was experimentally validated. The equivalent circuit model including the tortuosity parameter predicts the absorption curve better, particularly at the local minima in comparison to the existing models without the tortuosity effects. It is beneficial to the structural design of woven fabric with enhanced sound absorption. © Published under licence by IOP Publishing Ltd.

关键词： Acoustic wave absorption

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Superior stable high-voltage LiCoO_(2) enabled by modification with a layer of lithiated polyvinylidene fluoride-derived LiF

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Carbon Energy 2024年第10期6卷 28-38页

作者： Qihang Ding Zewen Jiang Kean Chen Hui Li Jingzhe Shi Xinping Ai Dingguo Xia Hubei Key Lab of Electrochemical Power Sources College of Chemistry&Molecular ScienceWuhan UniversityWuhanChina Beijing Key Laboratory of Theory and Technology for Advanced Batteries Materials College of EngineeringPeking UniversityBeijingChina State Key Laboratory of New Textile Materials&Advanced Processing Technologies Wuhan Textile UniversityWuhanChina Wuhan Britain-China School WuhanChina

High-voltage LiCoO_(2) (LCO) can deliver a high capacity and therefore significantly boost the energy density of Li-ion batteries (LIBs). However, its cyclability is still a major problem in terms of commercial applications. Herein, we propose a simple but effective method to greatly improve the high-voltage cyclability of an LCO cathode by constructing a surface LiF modification layer via pyrolysis of the lithiated polyvinylidene fluoride (Li-PVDF) coating under air atmosphere. Benefitting from the good film-forming and strong adhesion ability of Li-PVDF, the thus-obtained LiF layer is uniform, dense, and conformal;therefore, it is capable of acting as a barrier layer to effectively protect the LCO surface from direct exposure to the electrolyte, thus suppressing the interfacial side reactions and surface structure deterioration. Consequently, the high-voltage stability of the LCO electrode is significantly enhanced. Under a high charge cutoff voltage of 4.6 V, the LiF-modified LCO (LiF@LCO) cathode demonstrates a high capacity of 201 mA h g^(−1) at 0.1 C and a stable cycling performance at 0.5 C with 80.5% capacity retention after 700 cycles, outperforming the vast majority of high-voltage LCO cathodes reported so far.

关键词： cycling stability high-voltage LiCoO_(2) LiF layer lithiated polyvinylidene fluoride surface modification

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Biomimetic,fire-resistant,ultralight and porous carbon fiber sponges enabling safe and efficient remediation of crude oil spills in harsh environments

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Journal of Materials Science & technology 2023年第27期158卷 77-85页

作者： Yushan Li Songjun Yao Song Yan Mei Xu Long Zheng Fei Pan Yeqiang Tan Xianze Yin College of Materials Science and Engineering State Key Laboratory of New Textile Materials&Advanced Processing TechnologyWuhan Textile UniversityWuhan 430200China National Local Joint Laboratory for Advanced Textile Processing and Clean Production Wuhan Textile UniversityWuhan 430200China Engineering Research Center of Ministry of Education for Clean Production of Textile Printing and Dyeing Wuhan Textile UniversityWuhan 430200China College of School of Environmental Engineering Wuhan Textile UniversityWuhan 430200China State Key Laboratory of Bio-Fibers and Eco-Textiles Collaborative Innovation Center of Marine Biobased Fiber and Ecological Textile Technology Institute of Marine Biobased MaterialsCollege of Materials Science and EngineeringQingdao UniversityQingdao 266071China

Advanced absorbents must meet the requirements of superior hydrophobic/oleophilic behavior,favorable adsorption efficiency,and high photothermal and Joule heating performance to handle frequent crude oil ***,current carbon-based absorbents suffer from poor fire resistance,thus severely limiting their application in harsh ***,inspired by a bird’s nest,a polymer“welding”strategy is proposed to design a versatile absorbent in which the polymer serves as a“binder”to interconnect discontinuous fibers together to form a 3D welded *** continuous conductive networks endow the absorbent with high photothermal and Joule heating effect,thus achieving all-weather adsorption,and improving the adsorption efficiency of crude oil via the self-heating *** with other absorbents,the absorbent prepared via polymer welding technology exhibited preferable comprehensive performance,such as superhydrophobicity,high fire resistance,and high absorption ***,the noninflammable absorbent can restrain the combustion of crude oil,thereby reducing its combustion in case of *** versatile absorbent is expected to provide a promising solution for the safe and effi-cient cleanup of crude oil spills in harsh ***,the unique polymer welding strategy can be developed into a universal strategy for other material systems to expand their applications.

关键词： Polymer welding strategy Photothermal effect Joule heating effect Fire resistance Crude oil recovery

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Positioning Error Compensation via Channel Knowledge Map for UAV Communication

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IEEE Internet of Things Journal 2025年第11期12卷 16977-16989页

作者： Zhang, Chiya Wang, Ting He, Chunlong Harbin Institute of Technology School of Electronic and Information Engineering Shenzhen518055 China Shenzhen University Guangdong Key Laboratory of Intelligent Information Processing Shenzhen518060 China

When Unmanned Aerial Vehicles (UAVs) perform high-precision communication tasks, such as searching for users and providing emergency coverage, positioning errors between base stations and users make it challenging to deploy trajectory planning algorithms. To address these challenges caused by position errors, a framework was proposed to compensate it by Channel Knowledge Map (CKM), which stores channel state information (CSI). By taking the positions with errors as input, the generated CKM could give a prediction of signal attenuation which is close to true positions. Based on that, the predictions are utilized to calculate the received power and a PPO-based algorithm is applied to optimize the compensation. After training, the framework is able to find a strategy that minimize the flight time under communication constraints and positioning error. Besides, the confidence interval is calculated to assist the allocation of power and the update of CKM is studied to adapt to the dynamic environment. Simulation results show the robustness of CKM to positioning error and environmental changes, and the superiority of CKM-assisted UAV communication design. © 2025 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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A Novel Stacked Network Method for Enhancing the Performance of Side-Channel Attacks

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Computers, Materials & Continua 2025年第4期83卷 1001-1022页

作者： Zhicheng Yin Lang Li Yu Ou College of Computer Science and Technology Hengyang Normal UniversityHengyang421002China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application HengyangNormal UniversityHengyang421002China

The adoption of deep learning-based side-channel analysis(DL-SCA)is crucial for leak detection in secure *** previous studies have applied this method to break targets protected with *** the increasing number of studies,the problem of model *** research mainly focuses on exploring hyperparameters and network architectures,while offering limited insights into the effects of external factors on side-channel attacks,such as the number and type of *** paper proposes a Side-channel Analysis method based on a Stacking ensemble,called *** our method,multiple models are deeply *** the extended application of base models and the meta-model,Stacking-SCA effectively improves the output class probabilities of the model,leading to better ***,this method shows that the attack performance is sensitive to changes in the number of ***,five independent subsets are extracted from the original ASCAD database as multi-segment datasets,which are mutually *** method shows how these subsets are used as inputs for Stacking-SCA to enhance its attack *** experimental results show that Stacking-SCA outperforms the current state-of-the-art results on several considered datasets,significantly reducing the number of attack traces required to achieve a guessing entropy of ***,different hyperparameter sizes are adjusted to further validate the robustness of the method.

关键词： Side-channel analysis deep learning stacking ensemble learning model generalization

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Recent advances in iron-based sulfides electrocatalysts for oxygen and hydrogen evolution reaction

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Chinese Chemical Letters 2024年第1期35卷 181-195页

作者： Jing Mei Yuqing Deng Xiaohong Cheng Xing Wang Qi Wu State Key Laboratory of New Textile Materials and Advanced Processing Technologies Wuhan Textile UniversityWuhan 430200China Hubei Key Laboratory of Pollutant Analysis&Reuse Technology College of Chemistry and Chemical EngineeringHubei Normal UniversityHuangshi 435002China Hubei Key Laboratory of Low Dimensional Optoelectronic Materials and Devices Hubei University of Arts and ScienceXiangyang 441053China

Increasing environmental pollution and shortage of conventional fossil fuels have made it urgent to develop renewable and clean energy sources. Electrocatalytic water splitting, with its abundant raw materials, simple process, and zero carbon emission, is considered one of the most promising processes for producing carbon-neutral hydrogen which has excellent energy conversion efficiency and high gravimetric energy density. Among them, oxygen evolution reaction (OER) electrocatalysts and hydrogen evolution reaction (HER) electrocatalysts are critical to decreasing the intrinsic reaction energy barrier and boosting the hydrogen evolution efficiency. Therefore, it is imperative to develop and design low-cost, highly active, and stable OER and HER electrocatalysts to lower the overpotential and drive the electrocatalytic reactions. Transition metal sulfides, especially iron-based sulfides, have attracted extensive exploration by researchers as a result of its high abundance in the Earth's crust and near-metallic conductivity. Consequently, in this review, we systematically and comprehensively summarize the progress in the application of iron-based sulfides and their composites as OER and HER electrocatalysts in electrocatalysis. Detailed descriptions and illustrations of the special relationships among their composition, structure, and electrocatalytic performance are presented. Finally, this review points out the challenges and future prospects of iron-based sulfides in practical applications for designing and fabricating more promising iron-based sulfide OER and HER electrocatalysts. We believe that iron-based sulfide materials will have a wide range of application prospects as OER and HER electrocatalysts in the future.

关键词： Iron-based sulfides Electrocatalysts Doping Composites Water splitting

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