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Identifying the dynamic behaviors in complete reconstruction of Co-based complex precatalysts during electrocatalytic oxygen evolution

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Journal of Energy Chemistry 2025年第1期100卷 226-233页

作者： Jingfang Zhang Danyang Wu Linke Cai Youluan Lu Fanpeng Cheng Lijuan Shi Qun Yi Yao Liu Yi Huang Key Laboratory of Green Chemical Engineering Process of Ministry of Education Engineering Research Center of Phosphorus Resources Development and Utilization of Ministry of EducationHubei Key Laboratory of Novel Reactor and Green Chemical TechnologySchool of Chemical Engineering&PharmacyWuhan Institute of TechnologyWuhan 430205HubeiChina Key Laboratory of Pesticide&Chemical Biology of Ministry of Education Engineering Research Center of Photoenergy Utilization for Pollution Control and Carbon Reduction of Ministry of EducationCollege of ChemistryCentral China Normal UniversityWuhan 430079HubeiChina College of Materials Science and Engineering Fuzhou UniversityFuzhou 350108FujianChina

Transition metal-based nanomaterials have emerged as promising electrocatalysts for oxygen evolution reaction(OER).Considerable research efforts have shown that self-reconstruction occurs on these nanomaterials under operating conditions of OER ***,most of them undergo incomplete reconstruction with limited thickness of reconstruction layer,leading to low component utilization and arduous exploration of real catalytic ***,we identify the dynamic behaviors in complete reconstruction of Co-based complexes during *** hollow phytic acid(PA)cross-linked CoFe-based complex nanoboxes with porous nanowalls are designed because of their good electrolyte penetration and mass transport ability,in favor of the fast and complete reconstruction.A series of experiment characterizations demonstrate that the reconstruction process includes the fast substitution of PA by OH-to form Co(Fe)(OH)xand subsequent potential-driven oxidation to Co(Fe)*** obtained CoFeOOH delivers a low overpotential of 290 mV at a current density of 10 mA cm^(-2)and a long-term *** experiment results together with theory calculations reveal that the Fe incorporation can result in the electron rearrangement of reconstructed CoFeOOH and optimization of their electronic structure,accounting for the enhanced OER *** work provides new insights into complete reconstruction of metal-based complexes during OER and offers guidelines for rational design of high-performance electrocatalysts.

关键词： Complete reconstruction Co-based complex Precatalysts Oxygen evolution reaction

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Experimental study on preparation of nanoparticle-surfactant nanofluids and their effects on coal surface wettability

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International Journal of Mining science and technology 2022年第2期32卷 387-397页

作者： Gang Wang Yanqing Li Enmao Wang Qiming Huang Shibin Wang Huaixing Li Mine Disaster Prevention and Control-Ministry of State Key Laboratory Breeding Base Shandong University of Science and TechnologyQingdao 266590China College of Safety and Environmental Engineering Shandong University of Science and TechnologyQingdao 266590China College of Energy and Mining Engineering Shandong University of Science and TechnologyQingdao 266590China

To improve the efficiency of coal seam water injection,the influence of nanofluids on coal surface wettability was studied based on the nano drag reduction and injection enhancement technology in the field of tertiary oil *** composition optimization and performance evaluation of nanofluids with nano-silica and sodium lauryl sulfate as the main components were carried out,and the effects of the nanofluid with the optimal ratio on coal wettability were studied through spontaneous upward imbibition *** results show that the composite nanofluid has a lower surface tension,and the lowest value of the interfacial tension is 15.79 m N/***,the composite nanofluid can enhance the wettability of ***,its effects on coal samples with different metamorphic degrees is different,that is,low rank coal is the largest,middle rank coal is the second,and high rank coal is the *** addition,a functional relationship between time and imbibition height is found for pulverized coal with different particle *** the particle size of pulverized coal is 60–80 mesh,the wettability of nanofluid to coal is *** findings in this paper provide a new perspective for improving the water injection efficiency for coal seams with low permeability.

关键词： Silica nanoparticles Composite nanofluids Hydrophobic modification Surface tension Spontaneous upward imbibition

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CT-NeRF: Incremental Optimization of Neural Radiance Field and Camera Poses with Complex Trajectory

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IEEE Transactions on Circuits and Systems for Video technology 2025年

作者： Ran, Yunlong Li, Yanxu Ye, Qi Huo, Yuchi Cui, Zhaopeng Bai, Zechun Sun, Jiahao Chen, Jiming Zhejiang University College of Control Science and Engineering Hangzhou China Zhejiang University College of Control Science and Engineering State Key Laboratory of Industrial Control Technology China Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province China Zhejiang University State Key Lab of CAD and CG China

Neural radiance field (NeRF) has achieved impressive results in high-quality 3D scene reconstruction. However, NeRF heavily relies on precise camera poses. While recent works like BARF have introduced camera pose optimization within NeRF, their applicability is limited to simple trajectory scenes. Existing methods struggle while tackling complex trajectories involving large rotations. To address this limitation, we propose CT-NeRF, an incremental reconstruction and optimization pipeline using only RGB images without pose and depth input. In this pipeline, we first propose a local-global bundle adjustment under a pose graph connecting neighboring frames to enforce the consistency between poses to escape the local minima caused by only pose consistency with the scene structure. Further, we instantiate the consistency between poses as a reprojection error constraint resulting from pixel-level correspondences between input image pairs. Through the incremental reconstruction, CT-NeRF enables the recovery of both camera poses and scene structure and is capable of handling scenes with complex trajectories. We evaluate the performance of CT-NeRF on two real-world datasets, NeRF-Buster and Free-Dataset, which feature complex trajectories. Results show CT-NeRF outperforms existing methods in novel view synthesis and pose estimation accuracy. © 1991-2012 IEEE.

关键词： 3D Reconstruction bundle adjustment NeRF novel view synthesis structure from motion

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Long-term leucine supplementation increases body weight in goats by controlling appetite and muscle protein synthesis under proteinrestricted conditions

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Animal Nutrition 2025年第1期20卷 404-418页

作者： Xiaokang Lv Aoyu Jiang Jinling Hua Zixin Liu Qiongxian Yan Shaoxun Tang Jinhe Kang Zhiliang Tan Jian Wu Chuanshe Zhou Chinese Academy of Sciences Key Laboratory of Agro-Ecological Processes in Subtropical Region National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry ProductionHunan Provincial Key Laboratory of Animal Nutrition&Physiology and MetabolismInstitute of Subtropical AgricultureChinese Academy of SciencesChangsha 410125China College of Animal Science Anhui Science and Technology UniversityFengyang 233100China

An inadequate amino acid(AA)supply in animals under protein-restricted conditions can slow skeletal muscle *** translation can be activated by short-term leucine(Leu)stimulation;however,whether muscle mass increases under long-term Leu supplementation and how the gut and muscle respond to Leu supplementation are largely *** this study,we investigated if muscle mass increases with long-term Leu supplementation under protein-restricted *** identified changes in the link between the gut and muscles under different amino acid supply conditions,using goats as the study object.A total of 27 Xiangdong black male goats with average initial body weight(BW)of 10.88±1.22 kg were randomly divided into three dietary treatments:a normal protein diet(NP,14.24%crude protein[CP]);a low protein diet(LP,8.27%CP with supplemental 1.66%rumen-protected lysine[RPLys]and 0.09%rumen-protected methionine[RPMet]);and LP diet with rumen-protected Leu(RPLeu)(LP t RPLeu,8.75%CP with supplemental 1.66%RPLys,0.09%RPMet and 1.46%RPLeu).The animal trial lasted for 110 d,consisting of 20 d of adaptation and a 90 d of experimental *** results showed that long-term protein restriction increased gut tryptophan hydroxylase 1(TPH1)activity(P<0.001),tryptophan(Trp)catabolism(P<0.001),and 5-hydroxytryptamine(5-HT)synthesis(P<0.001),which all subsequently reduced goat ***-term Leu supplementation inhibited 5-HT synthesis(P<0.001),decreased Trp catabolism in the gut,and increased appetite in ***-term protein restriction enhanced jejunal and ileal branched-chain amino acid transferase(BCAT)(P<0.001)and branched-chain a-Keto acid dehydrogenase(BCKD)(P=0.048)activities,which increased branchedchain amino acid(BCAA)*** results showed that protein restriction decreased the intestinal mucosal expression of solute carrier family 1 member 5(SLC1A5)(P=0.032)and solute carrier family 7 member 5(SLC7A5)(P<0.001),reduced BCAA transport from the

关键词： Leucine Protein synthesis Tryptophan metabolism 5-Hydroxytryptamine Amino acid transport Goat

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TCPP: A Benchmark Platform for Traffic Congestion Prediction with Multi-Source Auxiliary Data

TCPP: A Benchmark Platform for Traffic Congestion Prediction...

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Chinese Automation Congress (CAC)

作者： Yusong Zhou Xinmin Zhang Xiaoyu Jiang Zhihuan Song State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Zhejiang China Huzhou Institute of Industrial Control Technology Huzhou Zhejiang China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

With rapid urbanization, traffic congestion has become a challenge to efficient urban transportation. To address this challenge, we develop a novel traffic congestion prediction platform (TCPP) which is a unified benchmark tool for traffic congestion prediction with multi-source auxiliary data. By combining data integration, model selection and evaluation modules, TCPP provides a standardized framework for researchers to compare and evaluate different models and datasets. Meanwhile, through a comprehensive and detailed configuration syntax, TCPP allows users to flexibly schedule tasks and execute multiple tasks continuously and uninterruptedly. In addition, two datasets collected from California highways are enriched with multi-source weather data and temporal features. We evaluate the performance of TCPP on these two datasets and demonstrate its effectiveness in predicting traffic congestion. The results demonstrate that TCPP can contribute to future research on traffic congestion prediction and the development of intelligent transportation systems and urban traffic management.

关键词： Schedules Diversity reception Data integration Predictive models Benchmark testing Syntactics Data models Forecasting Traffic congestion Meteorology

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Construction of Pressure Vessel Accident Emergency Drill System and Design of Scoring Mechanism based on Virtual Reality technology

Construction of Pressure Vessel Accident Emergency Drill Sys...

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2024 International Conference on Measurement, Communication, and Virtual Reality, MCVR 2024

作者： Wang, Xinmiao Ma, Dezhong Niu, Chenchen Han, Yichi Li, Zhichao College of Measurement-control Technology & Communications Engineering Harbin University of Science & Technology Harbin China Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application Harbin University of Science and Technology Harbin China

ISBN: (纸本)9781510691773

To address the issues of high risk, high cost, limited coverage, and low effectiveness in pressure vessel emergency drills, this study aims to construct a pressure vessel accident emergency drill system based on virtual reality technology. The system utilizes Unity3D to develop a human-computer interaction interface and implements various functional modules using C# scripting. The system incorporates features such as scenario simulation, safety education and training, interactive operations, multi-player collaboration, and feedback and evaluation, enabling drill participants to train and examine their emergency response skills within a virtual environment. To ensure the objectivity and comprehensiveness of the scoring system, this study employs a combined weighting method of the Entropy Weight Method and Analytic Hierarchy Process to analyze the weights of the operational steps in the exercise process. A comprehensive and objective scoring mechanism for the pressure vessel accident emergency exercise system has been designed, which evaluates the performance of the exercise personnel from multiple dimensions and levels. Furthermore, a comprehensive and objective rating mechanism for the emergency drill system of pressure vessels was designed to evaluate the performance of the drill personnel from multiple dimensions and hierarchical levels. This system effectively enhances participants' abilities in rapid response, emergency handling, and teamwork during accidents. © 2025 SPIE.

关键词： Virtual environments

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Improving Power Response of Single-controllable VSG-Based Active Distribution Network

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CSEE Journal of Power and Energy Systems 2025年第1期11卷 102-114页

作者： Shah Fahad Arman Goudarzi Pierluigi Siano Ji Xiang Department of Electrical and Computer Engineering Missouri University of Science and TechnologyUSA University of Victoria Canada Department of Management&Innovation Systems University of SalernoItaly Department of Electrical and Electronic Engineering Science University of JohannesburgJohannesburg2006South Africa National Laboratory of Industrial Control Technology College of Electrical EngineeringZhejiang UniversityHangzhou310058China

controlling an active distribution network(ADN)from a single PCC has been advantageous for improving the performance of coordinated Intermittent RESs(IRESs).Recent studies have proposed a constant PQ regulation approach at the PCC of ADNs using coordination of non-MPPT based ***,due to the intermittent nature of DGs coupled with PCC through uni-directional broadcast communication,the PCC becomes vulnerable to transient *** address this challenge,this study first presents a detailed mathematical model of an ADN from the perspective of PCC regulation to realize rigidness of PCC against ***,an H_(∞)controller is formulated and employed to achieve optimal performance against disturbances,consequently,ensuring the least oscillations during transients at ***,an eigenvalue analysis is presented to analyze convergence speed limitations of the newly derived system ***,simulation results show the proposed method offers superior performance as compared to the state-of-the-art methods.

关键词： Cooperative control of DGs hierarchical control system high penetration of intermittent RESs H_(∞)control optimal control in power systems single-controllable active distribution networks

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Cognitive Load state Analysis of Drivers Using Multimodal Physiological Data and Machine Learning in a VR Simulator

Cognitive Load State Analysis of Drivers Using Multimodal Ph...

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2024 International Conference on Measurement, Communication, and Virtual Reality, MCVR 2024

作者： Tao, Xinyu Ma, Dezhong Xiong, Xiaotong College of Measurement-control Technology & Communications Engineering Harbin University of Science & Technology Harbin China Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application Harbin University of Science and Technology Harbin China

ISBN: (纸本)9781510691773

Driver inattention is the primary cause of highway accidents. Various distractions can impair driving performance, posing a significant threat to road safety. This study uses a VR driving simulator to examine distracted driving, creating a simulated driving environment. It involves designing main and sub-driving tasks to replicate the cognitive load and distractions experienced by drivers. Data are collected using NASA-TLX scales, eye-tracking technology, and physiological signal acquisition. The impact of different distraction workloads on driver performance was assessed using statistical analysis and support vector machines (SVM). A multi-source data fusion model was developed to discriminate distracted driving behaviors. This research aims to provide theoretical insights and practical guidance for improving safe driving practices. © 2025 SPIE.

关键词： Automobile driver simulators

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A Novel Multi-head Self-attention Long Short-Term Memory Fault Detection Method based on Spatial-temporal feature learning

A Novel Multi-head Self-attention Long Short-Term Memory Fau...

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第34届中国过程控制会议

作者： Yan Liu Zuhua Xu Jun Zhao Zhijiang Shao Chunyue Song State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang University

industrial process data shows the characteristics of large scale,high dimension,and strong correlation,which brings a big challenge for process fault *** this paper,a dynamic intelligent fault detection method based on multi-head self-attention and long short-term memory neural network(MSLSTM) is *** MSLSTM model accurately captures the spatial-temporal fault features by making full use of previous ***,the MSLSTM model adopts the multi-head self-attention mechanism to make the whole network structure not only pay attention to the global information,but also emphasize the local ***,the Tennessee Eastman process(TEP) case is utilized to verify the practicability and superiority of the proposed *** experimental results show that the MSLSTM method achieves better fault detection performance in comparison with other conventional methods for detection.

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A Survey on Design,Actuation,Modeling,and control of Continuum Robot

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Cyborg and Bionic Systems 2022年第1期2022卷 22-34页

作者： Jingyu Zhang Qin Fang Pingyu Xiang Danying Sun Yanan Xue Rui Jin Ke Qiu Rong Xiong Yue Wang Haojian Lu State Key Laboratory of Industrial Control and Technology Zhejiang UniversityHangzhou 310027China Institute of CyberSystems and Control The Department of Control Science and Engineering Zhejiang UniversityHangzhou 310027China Department of Plastic Surgery Sir Run Run Shaw HospitalZhejang University of MedicineHangzhou 310016China

Inthis paper,we describethe advances inthe design,actuation,modeling,and controlfield of continuum *** decades ofpioneering research,many innovativeve structural designandUntethered magnetic robots are agood example;its external actuationcharteristigotten a lot of interest ***,modeling approachesbased on continuunnechals after years oof *** when combined withnumerical analytic methodschtFifecodle-b *** the control,*** and hybrid control methodscombined with sensor *** the other hand,tladeg and control of continum *** data-driven modeling technique simplifies modeling aproves anti-interference and generalization *** paper discusses the current development and challenges of continum robots in the above felds and provides prospectsfor the future.

关键词： Robot modeling generalization

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