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Unraveling the role of NiSnPH@OOH/CC perovskite hydroxide for efficient electrocatalytic oxidation of methanol to formate

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Nano Research 2024年第4期17卷 2388-2399页

作者： Jing Shao Yusheng Fang Xiaobing Wu Muhammad Imran Abdullah Youkun Tao College of Chemistry and Environmental Engineering Shenzhen UniversityShenzhen 518060China School of Science Harbin Institute of TechnologyShenzhen 518055China

The sluggish kinetics of oxygen evolution reaction(OER)is the key tailback for hydrogen production from the water *** OER with thermodynamically auspicious methanol oxidation reaction(MOR)can significantly boost the H_(2) and value-added products ***,it is currently challenging to achieve a synergistic manipulation of product selectivity and performance for MOR ***,we report NiSnPH@OOH/CC(CC=carbon cloth)perovskite hydroxide nanosphere as an efficient MOR electrocatalyst with high activity,stability,and selectivity towards methanol oxidation to formate.A surface amorphous layer of defect rich NiOOH was generated in operando by selective Sn leaching with stable perovskite hydroxide bulk structure,which mitigates the oxidative power and optimizes the local coordination environment of the active NiOOH *** situ Raman combined with electrochemical studies further confirm the key active species,NiOOH,generated in operando enhance the MOR and blocking the over oxidation of methanol to CO_(2).As a result,NiSnPH@OOH/CC effectively masks the OER and attains>99%selectivity with 100%Faradic efficiency for *** results of this study show the advances of NiSnPH@OOH/CC as an efficient electrocatalyst for MOR and also suggest its potential applications for various small organic molecules oxidation.

关键词： perovskite hydroxide small organic molecules nickel oxy(hydroxide) value-added products methanol oxidation reaction

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SARA: A Sparsity-Aware Efficient Oblivious Aggregation Service for Federated Matrix Factorization 25th

SARA: A Sparsity-Aware Efficient Oblivious Aggregation Servi...

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25th International Conference on Web Information Systems Engineering, WISE 2024

作者： Zheng, Yifeng Xiong, Tianchen Ouyang, Huajie Wang, Songlei Hua, Zhongyun Gao, Yansong School of Computer Science and Technology Harbin Institute of Technology Shenzhen China Data61 CSIRO Sydney Australia

ISBN: (纸本)9789819605668

Federated matrix factorization (FedMF) has recently emerged as a privacy-friendly paradigm which runs matrix factorization (MF) in a federated learning (FL) setting and enables users to keep their individual rating data local in the training process. In FedMF, users only need to share out item gradients for aggregation. However, prior work has shown that the item gradients, if directly exposed, can still leak users’ rating data. Meanwhile, the rating data are typically sparse and simply uploading the gradients of rated items will leak which and how many items a user rates. In light of the above, in this paper, we present SARA, a new sparsity-aware efficient oblivious aggregation service for FedMF. SARA protects the confidentiality of item gradients as well as hides which and how many items a user rates, through a custom sparsity-aware design that delicately builds on differential privacy and lightweight cryptography. Extensive experiments over real-world datasets demonstrate that SARA is utility-preserving and can bring the users significant savings (up to 98.28%) in the number of transmitted item gradients, compared to the baseline of fully transmitting gradients for all possible items. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Federated learning

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Recent Advances of Transition Metal Basic Salts for Electrocatalytic Oxygen Evolution Reaction and Overall Water Electrolysis

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Nano-Micro Letters 2023年第4期15卷 238-260页

作者： Bingrong Guo Yani Ding Haohao Huo Xinxin Wen Xiaoqian Ren Ping Xu Siwei Li Institute of Industrial Catalysis School of Chemical Engineering and TechnologyXi’an Jiaotong UniversityXi’an 710049People’s Republic of China Institute of Carbon Neutral Energy Technology School of Energy Science and EngineeringHarbin Institute of TechnologyHarbin 150001People’s Republic of China MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage School of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbin 150001People’s Republic of China

Electrocatalytic oxygen evolution reaction(OER)has been recognized as the bottleneck of overall water splitting,which is a promising approach for sustainable production of H_(2).Transition metal(TM)hydroxides are the most conventional and classical non-noble metal-based electrocatalysts for OER,while TM basic salts[M^(2+)(OH)_(2-x)(A_(m^(-))_(x/m),A=CO_(3)^(2−),NO_(3)^(−),F^(−),Cl^(−)]consisting of OH−and another anion have drawn extensive research interest due to its higher catalytic activity in the past *** this review,we summarize the recent advances of TM basic salts and their application in OER and further overall water *** categorize TM basic salt-based OER pre-catalysts into four types(CO_(3)^(2−),NO_(3)^(−),F^(−),Cl^(−)according to the anion,which is a key factor for their outstanding performance towards *** highlight experimental and theoretical methods for understanding the structure evolution during OER and the effect of anion on catalytic *** develop bifunctional TM basic salts as catalyst for the practical electrolysis application,we also review the present strategies for enhancing its hydrogen evolution reaction activity and thereby improving its overall water splitting ***,we conclude this review with a summary and perspective about the remaining challenges and future opportunities of TM basic salts as catalysts for water electrolysis.

关键词： Transition metal basic salts Electrocatalytic Oxygen evolution reaction(OER) Overall water electrolysis

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Blockchain-based trust management for data exchange in internet of vehicle network

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Multimedia Tools and Applications 2025年第8期84卷 4837-4855页

作者： Srivastava, Sandeep Agarwal, Deepshikha Chaurasia, Brijesh Kumar Adhikari, Mainak Computer Science Indian Institute of Information Technology UP Lucknow226002 India Information Technology Indian Institute of Information Technology UP Lucknow226002 India Computer Science Pranveer Singh Institute of Technology UP Kanpur208029 India School of Data Science Indian Institute of Science Education & Research Thiruvananthapuram India

Internet of Vehicles (IoV) integrates with various heterogeneous nodes, such as connected vehicles, roadside units, etc., which establishes a distributed network. Vehicles are managed nodes providing all the services required during inter-vehicular communication which makes it essential to use a trust management mechanism. Existing trust management systems are insufficient to address the emerging IoV needs of transparency, mobility, immutability, and scalability. Motivated by the need to address the outlined issues, Proposed additive increase and multiplicative decrease (AIMD) trust management model, to improve the quality of communication, as well as vehicle trustworthiness based on multiple inter-vehicular interactions. The proposed layered architecture helps to reduce overhead in terms of latency and average execution time compared to other trust management mechanism and avoid risk of single point of failure. The Proposed AIMD trust management is implemented on permissioned blockchain, where transactions in the IoV network are only managed by minor nodes which accumulate interactions and uses PBFT and AIMD mechanism to derive immutable reputation score securely and transparently. Simulation results show the AIMD trust mechanism using permissioned blockchain can manage the trust of vehicles efficiently by reducing the latency by 0.29 sec, increasing packet delivery ratio from 0.8 to 0.95, and significantly reduce transaction finality time. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Blockchain

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A novel pure data-selection framework for day-ahead wind power forecasting

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Fundamental Research 2023年第3期3卷 392-402页

作者： Ying Chen Jingjing Zhao Jiancheng Qin Hua Li Zili Zhang School of Economics and Management Harbin Institute of TechnologyHarbin 150001China School of Computer Science and Technology Harbin Institute of TechnologyHarbin 150001China Department of Mechanical and Industrial Engineering Texas A&M University-KingsvilleTexas 78363USA

Numerical weather prediction(NWP)data possess internal inaccuracies,such as low NWP wind speed corresponding to high actual wind power *** study is intended to reduce the negative effects of such inaccuracies by proposing a pure data-selection framework(PDF)to choose useful data prior to modeling,thus improving the accuracy of day-ahead wind power ***,we convert an entire NWP training dataset into many small subsets and then select the best subset combination via a validation set to build a forecasting *** a small subset can increase selection flexibility,it can also produce billions of subset combinations,resulting in computational *** address this problem,we incorporated metamodeling and optimization steps into *** then proposed a design and analysis of the computer experiments-based metamodeling algorithm and heuristic-exhaustive search optimization algorithm,*** results demonstrate that(1)it is necessary to select data before constructing a forecasting model;(2)using a smaller subset will likely increase selection flexibility,leading to a more accurate forecasting model;(3)PDF can generate a better training dataset than similarity-based data selection methods(e.g.,K-means and support vector classification);and(4)choosing data before building a forecasting model produces a more accurate forecasting model compared with using a machine learning method to construct a model directly.

关键词： Day-ahead wind power forecasting Data selection Design and analysis of computer experiments Heuristic optimization Numerical weather prediction data

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A novel co-catalyzed system between persulfate and chlorite by sonolysis for removing triphenylmethane derivative

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Journal of Environmental sciences 2022年第2期34卷 291-306页

作者： Qihui Xu Haoran Leng Hong You Shutao Wang Haoyang Li Yibo Yu State Key Laboratory of Urban Water Resources and Environment Harbin Institute of TechnologyHarbin 150090China School of Environment Harbin Institute of TechnologyHarbin 150090China School of Marine Science and Technology Harbin Institute of Technology at WeihaiWeihai 264209China

Triphenylmethane(tpm) derivatives(e.g. tpm CV) have threatened the safety of the aquatic environment due to the potential toxicity and carcinogenicity. In this study, the novel ultrasonic/persulfate/chlorite(US/S_(2)O_(8)^(2-)/ClO_(2)^(-)) oxidation process was developed for the effective removal of tpm CV in wastewater. The apparent non-integer kinetics( n around 1.20) of tpm CV degradation under different factors( R^(2)_(Adj) > 0.990) were investigated, respectively. Inhibiting effects of anions were greater than those of cations(except Fe(Ⅱ/Ⅲ)). The adding of micromolecule organic acids could regulate degradation towards positive direction. The double response surface methodology(RSM) was designed to optimize tpm CV removal process, and the acoustic-piezoelectric interaction was simulated to determine the propagation process of acoustic wave in the reactor. The possible degradation pathway was explored to mainly include carbonylation, carboxylation, and demethylation. The estimated effectivemean temperature at the bubble-water interface was calculated from 721 to 566 K after introducing the ClO_(2)^(-), however, the adsorption or partitioning capacity of tpm CV in the reactive zone was widened from 0.0218 to 0.0982. The proposed co-catalysis of US/S_(2)O_(8)^(2-)/ClO_(2)^(-)was based on the determined active species mainly including ClO_(2), SO_(4)·^(-), and ·OH. Compared with other US-based processes, the operating cost(3.97 $/m^(3)) of US/S_(2)O_(8)^(2-)/ClO_(2)^(-)with the EE/O value(16.8 k Wh/m^(3)) was relatively reduced.

关键词： Ultrasonic/Persulfate/Chlorite Non-integer kinetics Simulation Degradation mechanism Co-catalysis

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Kalman Filter-based Cycle-Consistent Adversarial Learning for Time Series Anomaly Detection

Journal of Network Intelligence

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Journal of Network Intelligence 2024年第2期9卷 790-803页

作者： Liu, Shu-Tang Fan, Ji-Jie Wang, Rui-Dong Han, Han Zhang, De-Yang Faculty of Humanities and Arts Macau University of Science and Technology 999078 China Academic Affairs Office Minjiang University Fuzhou350108 China Kyrgyz National University Named after Jusup Balasagyn Bishkek720033 Kyrgyzstan School of Computer Science and Technology Harbin University of Science and Technology Harbin150080 China School of Measurement and Control Technology and Communication Engineering Harbin University of Science and Technology Harbin150080 China Henan Provincial Institute of Scientific and Technical Information Zhengzhou450003 China

Anomaly detection in time series is challenging for machine learning due to the uncertainty and complex pattern in time series. In this paper, we propose a Kalman filter-based cycle-consistent adversarial learning framework (KFCGAN) for time series anomaly detection, assuming that the abnormal pattern prevents the model from reconstructing the original and filtered signals. Specifically, KFCGAN comprises a Kalman filter module and a cycle-consistent adversarial learning module that utilizes an autoencoder as its generator. Firstly, the Kalman filter module generates the filtered signals from the original signals as the target domain. Then, the forward direction of the cycleconsistent adversarial learning module learns the transformation of the original time series domain to the filtered time series domain. At the same time, the backward direction optimizes it by transforming the target domain to the original domain. Finally, anomaly detection can be modeled as the signal reconstruction problem between the original and target domains. The experimental results on five real-world datasets show that the proposed method outperforms the start-of-the-art, demonstrating that KFCGAN can effectively capture abnormal time series patterns. © 2024, J. Network Intell. All rights reserved.

关键词： Time series

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Algorithms for online fault tolerance server consolidation

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Digital Communications and Networks 2025年第2期11卷 514-523页

作者： Boyu Li Bin Wu Meng Shen Hao Peng Weisheng Li Hong Zhang Jie Gan Zhihong Tian Guangquan Xu College of Intelligence and Computing Tianjin UniversityTianjin 300350China School of Cyberspace Science and Technology Beijing Institute of TechnologyBeijing 100081China School of Computer Science and Technology Zhejiang Normal UniversityJinhua 321004China School of Computer Science and Technology Chongqing University of Posts and TelecommunicationsChongqing 400054China School of Astronautics Beihang UniversityBeijing100191China School of Computer Science University of SydneySydneyNSW 20528Australia Cyberspace Institute of Advanced Technology Guangzhou UniversityGuangzhou 511370China

We study a novel replication mechanism to ensure service continuity against multiple simultaneous server *** this mechanism,each item represents a computing task and is replicated intoξ+1 servers for some integerξ≥1,with workloads specified by the amount of required *** one or more servers fail,the affected workloads can be redirected to other servers that host replicas associated with the same item,such that the service is not interrupted by the failure of up toξ*** requires that any feasible assignment algorithm must reserve some capacity in each server to accommodate the workload redirected from potential failed servers without overloading,and determining the optimal method for reserving capacity becomes a key *** existing algorithms that assume that no two servers share replicas of more than one item,we first formulate capacity reservation for a general arbitrary *** to the combinatorial nature of this problem,finding the optimal solution is *** this end,we propose a Generalized and Simple Calculating Reserved Capacity(GSCRC)algorithm,with a time complexity only related to the number of items packed in the *** conjunction with GSCRC,we propose a robust replica packing algorithm with capacity optimization(RobustPack),which aims to minimize the number of servers hosting replicas and tolerate multiple server *** theoretical analysis and experimental evaluations,we show that the RobustPack algorithm can achieve better performance.

关键词： Cloud computing Server consolidation Replica Fault tolerance

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Nonreciprocal photon blockade in a spinning resonator coupled to two two-level atoms

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science China(Physics,Mechanics & Astronomy) 2023年第4期66卷 28-36页

作者： Wei Zhang Tie Wang Shutian Liu Shou Zhang Hong-Fu Wang School of Physics Harbin Institute of TechnologyHarbin 150001China Department of Physics College of ScienceYanbian UniversityYanji 133002China

We propose a scheme to simultaneously achieve nonreciprocal conventional photon blockade(NCPB) and unconventional photon blockade(NUPB) in a spinning resonator coupled to two two-level atoms. We show that, with the unequal frequency detuning of cavity and atoms from the driving laser, the quantum efect of the nonreciprocal photon blockade can be realized based on two regimes under diferent driving strengths. We confirm that, the NUPB results from the quantum destructive interference between distinct pathways when the driving laser is loaded from one side, whereas the destructive interference is broken when the system is driven from the other side. Moreover, the NCPB originates from whether the single excitation resonance condition is satisfied, corresponding to the opposite driving direction in contrast to the former. Besides, we obtain the optimal nonreciprocal results by appropriately choosing the system parameters. Interestingly, the UPB exhibits stronger robustness to thermal noises,and the nonreciprocity still exists up to a high thermal excitation. This work provides an alternative way to achieve nonreciprocal quantum devices based on the nonreciprocal photon blockade, which may help to develop information network processing.

关键词： nonreciprocity photon blockade two-level atom

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Surface reconstruction of Se-doped NiS_(2) enables high-efficiency oxygen evolution reaction

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Journal of Energy Chemistry 2023年第9期84卷 173-180页

作者： Mengxin Chen Yuanyuan Zhang Ran Wang Bin Zhang Bo Song Yanchao Guan Siwei Li Ping Xu MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage School of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbin 150001HeilongjiangChina National Key Laboratory of Science and Technology on Advanced Composites in Special Environments Harbin Institute of TechnologyHarbin 150001HeilongjiangChina Key Laboratory of Micro-systems and Micro-structures Manufacturing Ministry of EducationHarbin Institute of TechnologyHarbin 150001HeilongjiangChina Institute of Industrial Catalysis School of Chemical Engineering and TechnologyXi’an Jiaotong UniversityXi’an 710049ShaanxiChina

Surface reconstruction of electrocatalysts has been widely witnessed during the electrochemical ***,NiS_(2),NiSe_(2), and Se doped NiS_(2)(Se-NiS_(2)) are fabricated for oxygen evolution reaction(OER) through a mild sulfuration and/or selenylation process of Ni(OH)_(2) supported on carbon cloth(CC).Through careful in-situ Raman spectroscopy and ex-situ X-ray photoelectron spectroscopy,surface reconstruction of NiS_(2),NiSe_(2),and Se-NiS_(2) during the OER process has been revealed.A potentialdependent study shows that Se-NiS_(2) undergoes surface evolution at lower potentials and requires the lowest potential for conversion to NiOOH as a highly OER-active species,accompanied by the leaching of SO_(4)^(2-) and SeO_(4)^(2-) that can again be adsorbed on the catalyst surface to enhance the catalytic *** functional theory(DFT) calculations confirm that Se-NiS_(2) is more susceptible to surface oxidation through the OER ***,Se-NiS_(2) exhibits outstanding OER activity and stability in alkaline conditions,requiring an overpotential of 343 mV at a current density of 50 mA cm^(-2).A novel insight is provided by our work in understanding the surface reconstruction and electrocatalytic mechanism of Ni-based chalcogenides.

关键词： Oxygen evolution reaction Se-NiS_(2) In-situ Raman spectroscopy Anion leaching Surface reconstruction

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