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Exciting lattice oxygen of nickel–iron bi-metal alkoxide for efficient electrochemical oxygen evolution reaction

Journal of Energy Chemistry 2024年第1期88卷 194-201,I0005页

作者： Saihang Zhang Senchuan Huang Fengzhan sun Yinghui Li Li Ren Hao Xu Zhao Li Yifei Liu Wei Li Lina chong Jianxin Zou National Engineering Research Center of Light Alloy Net Forming&State Key Laboratory of Metal Matrix Composites Center of Hydrogen ScienceSchool of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of Chemistry Laboratory of Advanced MaterialsShanghai Key Laboratory of Molecular Catalysis and Innovative MaterialsiChEM and State Key Laboratory of Molecular Engineering of PolymersCollege of Chemistry and MaterialsFudan UniversityShanghai 200433China

High efficiency,cost-effective and durable electrocatalysts are of pivotal importance in energy conversion and storage *** electro-oxidation of water to oxygen plays a crucial role in such energy conversion ***,we report a robust method for the synthesis of a bimetallic alkoxide for efficient oxygen evolution reaction(OER)for alkaline electrolysis,which yields current density of 10 mA cm^(-2)at an overpotential of 215 mV in 0.1 M KOH *** catalyst demonstrates an excellent durability for more than 540 h operation with negligible degradation in *** spectra revealed that the catalyst underwent structure reconstruction during OER,evolving into oxyhydroxide,which was the active site proceeding OER in alkaline ***-situ synchrotron X-ray absorption experiment combined with density functional theory calculation suggests a lattice oxygen involved electrocatalytic reaction mechanism for the in-situ generated nickel–iron bimetal-oxyhydroxide *** mechanism together with the synergy between nickel and iron are responsible for the enhanced catalytic activity and *** findings provide promising strategies for the rational design of nonnoble metal OER catalysts.

关键词： Oxygen evolution reaction Nickel-iron bi-metal alkoxide Lattice oxygen-mediated reaction mechanism Alkaline electrolysis Electrocatalysts

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Multi-process production occurs in the iron and steel industry,supporting‘dual carbon'target:An in-depth study of CO_(2)emissions from different processes

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Journal of Environmental Sciences 2024年第6期140卷 46-58页

作者： Hongming Na Yuxing yuan Tao Du Tianbao Zhang Xi Zhao Jingchao sun Ziyang Qiu Lei Zhang SEP Key Laboratory of Eco-Industry Northeastern UniversityShenyang 110819China School of Metallurgy Northeastern UniversityShenyang 110819China

Reducing CO_(2)emissions of the iron and steel industry,a typical heavy CO_(2)-emitting sector is the only way that must be passed to achieve the‘dual-carbon’goal,especially in *** previous studies,however,it is still unknown what is the difference between blast furnace basic oxygen furnace(BF-BOF),scrap-electric furnace(scrap-EF)and hydrogen metallurgy *** quantitative research on the key factors affecting CO_(2)emissions is insufficient There is also a lack of research on the prediction of CO_(2)emissions by adjusting industria *** on material flow analysis,this study establishes carbon flow diagrams o three processes,and then analyze the key factors affecting CO_(2)***_(2)emissions of the iron and steel industry in the future is predicted by adjusting industrial structure The results show that:(1)The CO_(2)emissions of BF-BOF,scrap-EF and hydrogen metallurgy process in a site are 1417.26,542.93 and 1166.52 kg,respectively.(2)By increasing pellet ratio in blast furnace,scrap ratio in electric furnace,etc.,can effectively reduce CO_(2)emissions(3)Reducing the crude steel output is the most effective CO_(2)reduction *** is still 5.15×10^(8)-6.17×10^(8) tons of CO_(2)that needs to be reduced by additional measures.

关键词： Blast furnace-basic oxygen furnace process Scrap-electric furnace process Hydrogen metallurgy process Carbon flow diagram Influencing factors CO_(2)emission prediction

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Data-driven casting defect prediction model for sand casting based on random forest classification algorithm

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China Foundry 2024年第2期21卷 137-146页

作者： Bang Guan Dong-hong Wang Da Shu Shou-qin Zhu Xiao-yuan Ji Bao-de sun Shanghai Key Lab of Advanced High-Temperature Materials and Precision Forming School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China State Key Lab of Metal Matrix Composites Shanghai Jiao Tong UniversityShanghai 200240China Hefei Casting and Forging Factory of Anhui Heli Co. LtdHefei 230000China State Key Laboratory of Materials Processing and Die&Mould Technology Huazhong University of Science and TechnologyWuhan 430074China

The complex sand-casting process combined with the interactions between process parameters makes it difficult to control the casting quality,resulting in a high scrap rate.A strategy based on a data-driven model was proposed to reduce casting defects and improve production efficiency,which includes the random forest(RF)classification model,the feature importance analysis,and the process parameters optimization with Monte Carlo *** collected data includes four types of defects and corresponding process parameters were used to construct the RF *** results show a recall rate above 90% for all *** Gini Index was used to assess the importance of the process parameters in the formation of various defects in the RF ***,the classification model was applied to different production conditions for quality *** the case of process parameters optimization for gas porosity defects,this model serves as an experimental process in the Monte Carlo method to estimate a better temperature *** prediction model,when applied to the factory,greatly improved the efficiency of defect *** show that the scrap rate decreased from 10.16% to 6.68%.

关键词： sand casting process data-driven method classification model quality prediction feature importance

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Super-resolution diffractive neural network for alloptical direction of arrival estimation beyond diffraction limits

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Light(Science & Applications) 2024年第8期13卷 1602-1614页

作者： Sheng Gao Hang Chen Yichen Wang Zhengyang Duan Haiou Zhang Zhi sun yuan Shen Xing Lin Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China

Wireless sensing of the wave propagation direction from radio sources lays the foundation for communication,radar,navigation,***,the existing signal processing paradigm for the direction of arrival estimation requires the radio frequency electronic circuit to demodulate and sample the multichannel baseband signals followed by a complicated computing process,which places the fundamental limit on its sensing speed and energy ***,we propose the super-resolution diffractive neural networks(S-DNN)to process electromagnetic(EM)waves directly for the DOA estimation at the speed of *** multilayer meta-structures of S-DNN generate super-oscillatory angular responses in local angular regions that can perform the all-optical DOA estimation with angular resolutions beyond the diffraction *** spatial-temporal multiplexing of passive and reconfigurable S-DNNs is utilized to achieve high-resolution DOA estimation over a wide field of *** S-DNN is validated for the DOA estimation of multiple radio sources over 5 GHz frequency bandwidth with estimation latency over two to four orders of magnitude lower than the state-of-the-art commercial devices in *** results achieve the angular resolution over an order of magnitude,experimentally demonstrated with four times,higher than diffraction-limited *** also apply S-DNN’s edge computing capability,assisted by reconfigurable intelligent surfaces,for extremely low-latency integrated sensing and communication with low power *** work is a significant step towards utilizing photonic computing processors to facilitate various wireless sensing and communication tasks with advantages in both computing paradigms and performance over electronic computing.

关键词： beyond optical network

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CO_(2)methanation boosted by support-size-dependent strong metal-support interaction and B-O-Ti component

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Green Energy & Environment 2024年第2期9卷 321-332页

作者： Shaoyu yuan Yushan Yang Zhangyi Xiong Peijing Guo Sufang sun Zejiang Li Jianlong Du Yongjun Gao College of Chemistry and Environmental Science Hebei UniversityNo.180Wusidong RoadBaoding071002HebeiChina

Strong metal-support interaction(SMSI)has a great impact on the activity and selectivity of heterogeneous catalysts,which was usually adjusted by changing reduction temperature or processing catalyst in different ***,few researches concentrate on modulating SMSI through regulating the structure of the ***,we show how changing the surface environment of the anatase TiO_(2)(B–TiO_(2))can be used to modulate the *** moderate TiOx overlayer makes the Ni metal highly dispersed on the high specific surface area of support,resulting in a substantially enhanced CO_(2)methanation ***,a novel phenomenon was observed that boron dopants promote the for-mation of the B–O–Ti interface site,enhancing the catalytic performance of CO_(2)*** calculations confirm that the B–O–Ti structure facilitates the activation of CO_(2)and further hydrogenation to methane.

关键词： CO_(2)Methanation B-doped TiO_(2) SMSI Size-dependent

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Dynamic Response of A Group of Cylindrical Storage Tanks with Baffles Considering the Effect of Soil Foundation

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China Ocean Engineering 2024年第1期38卷 129-143页

作者： sun Ying WANG Jia-dong HUO Rui-li ZHOU Ding GU Zhen-yuan QIAN Wang-ping School of Transportation and Civil Engineering Nantong UniversityNantong 226019China Faculty of Civil Engineering and Mechanics Jiangsu UniversityZhenjiang 212013China College of Civil Engineering Nanjing Tech UniversityNanjing 211816China

The sloshing in a group of rigid cylindrical tanks with baffles and on soil foundation under horizontal excitation is studied *** solutions for the velocity potential are derived out by the liquid subdomain *** models with mass-spring oscillators are established to replace continuous *** with the least square technique,Chebyshev polynomials are employed to fit horizontal,rocking and horizontal-rocking coupling impedances of soil,respectively.A lumped parameter model for impedance is presented to describe the effects of soil on tank structures.A mechanical model for the soil-foundation-tank-liquid-baffle system with small amount of calculation and high accuracy is proposed using the substructure *** analytical solutions are in comparison with data from reported literature and numerical codes to validate the effectiveness and correctness of the *** dynamic properties and seismic responses of the soil-tank system are given for the baffle number,size and location as well as soil parameter.

关键词： cylindrical tanks multiple annular baffles equivalent analytical model soil−structure interaction subdomain method dynamic response

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X-Ray Source Classification Using Machine Learning:A Study with EP-WXT Pathfinder LEIA

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Research in Astronomy and Astrophysics 2024年第8期24卷 175-195页

作者： Xiaoxiong Zuo Yihan Tao yuan Liu Yunfei Xu Wenda Zhang Haiwu Pan Hui sun Zhen Zhang Chenzhou Cui Weimin yuan National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China National Astronomical Data Center Beijing 100101China

X-ray observations play a crucial role in time-domain *** Einstein Probe(EP),a recently launched X-ray astronomical satellite,emerges as a forefront player in the field of time-domain astronomy and high-energy *** a focus on systematic surveys in the soft X-ray band,EP aims to discover high-energy transients and monitor variable sources in the *** achieve these objectives,a quick and reliable classification of observed sources is *** this study,we developed a machine learning classifier for autonomous source classification using data from the EP-WXT Pathfinder—Lobster Eye Imager for Astronomy(LEIA)and EP-WXT *** proposed Random Forest classifier,built on selected features derived from light curves,energy spectra,and location information,achieves an accuracy of approximately 95%on EP simulation data and 98%on LEIA observational *** classifier is integrated into the LEIA data processing pipeline,serving as a tool for manual validation and rapid classification during *** paper presents an efficient method for the classification of X-ray sources based on single observations,along with implications of most effective features for the *** work facilitates rapid source classification for the EP mission and also provides valuable insights into feature selection and classification techniques for enhancing the efficiency and accuracy of X-ray source classification that can be adapted to other X-ray telescope data.

关键词： methods data analysis-X-rays binaries-stars variables general-X-rays bursts

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Effectivenss of electroacupuncture for skeletal muscle pain in Parkinson's disease:a Clinical randomized controlled trial

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Journal of Traditional Chinese Medicine 2024年第2期44卷 388-395页

作者： WANG Shaosong sun Jingqing FENG Qingyin LI Bin WANG Xin yuan Fan CUI Yingxue Department of acupuncture Beijing Hospital of Traditional Chinese MedicineBeijing 100010China

OBJECTIVE:To explore the effect of electroacupuncture on skeletal muscle pain in Parkinson's disease(PD).METHODS:A single-center randomized controlled trial was conducted with sixty patients with Parkinson's disease with skeletal muscle pain were randomly divided into electroacupuncture group and sham acupuncture control group with 30 patients *** electric acupuncture group was treated with electric acupuncture,while the control group was treated with Park needle *** groups were treated 5 times a week for a total of 4 weeks,and both groups completed 20 ***'s Parkinson's Pain Scale(KPPS)and visual analog scale(VAS)were used before and after treatment to evaluate the pain degree of *** shear wave elastography(SWE)and modified Ashworth score(MAS)were used to evaluate the changes of muscle ***'s comprehensive Score Scale(MDS-UPDRS,including UPDRS Ⅱ and UPDRS Ⅲ)was used to evaluate exercise *** Depression Scale(HAMD)score was used to evaluate the emotional changes of *** correlation analysis was used to explore the correlation between pain degree and muscle tone,exercise ability and ***:During the study,one case fell off in the control group,and 30 cases were eventually included in the analysis and treatment group and 29 cases in the control *** treatment,Young's modulus of biceps and quadriceps and shear wave velocity of biceps were decreased in electroacupuncture group compared with before treatment,while KPPS score,VAS score,UPDRS Ⅱ,UPDRS Ⅲ and modified Ashworth score were decreased,with statistical significance(P0.05).After treatment,KPPS score,VAS score,UPDRS Ⅱ and UPDRS Ⅲ,MAS,HAMD score,Young's modulus of biceps and shear wave velocity in electroacupuncture group were significantly lower than those in control group(P<0.05).Spearman correlation analysis showed that KPPS score was positively correl

关键词： Parkinson disease muscle skeletal pain electroacupuncture muscle tention mood disorders randomized controlled trial

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Vibration-Based Fault Diagnosis for Railway Point Machines Using VMD and Multiscale Fluctuation-Based Dispersion Entropy

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Chinese Journal of Electronics 2024年第3期33卷 803-813页

作者： Yongkui sun yuan CAO Peng LI Guo XIE Tao WEN Shuai SU National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University School of Electronic and Information Engineering Beijing Jiaotong University Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University

As one of the most important railway signaling equipment,railway point machines undertake the major task of ensuring train operation *** fault diagnosis for railway point machines becomes a hot *** the advantage of the anti-interference characteristics of vibration signals,this paper proposes an novel intelligent fault diagnosis method for railway point machines based on vibration signals.A feature extraction method combining variational mode decomposition(VMD) and multiscale fluctuation-based dispersion entropy is developed,which is verified a more effective tool for feature ***,a two-stage feature selection method based on Fisher discrimination and ReliefF is proposed,which is validated more powerful than single feature selection ***,support vector machine is utilized for fault *** comparisons show that the proposed method performs *** diagnosis accuracies of normal-reverse and reverse-normal switching processes reach 100% and 96.57% ***,it is a try to use new means for fault diagnosis on railway point machines,which can also provide references for similar fields.

关键词： Fault diagnosis Vibrations Support vector machines Diversity reception Switches Feature extraction Rail transportation

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ZNF554 Inhibits Endometrial Cancer Progression via Regulating RBM5 and Inactivating WNT/β-Catenin Signaling Pathway

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Current Medical Science 2024年第2期44卷 406-418页

作者： Cheng-cheng ZHU Heng-liang sun Teng-fei LONG yuan-yuan LYU Jiang-li LIU Guan-tai NI Anhui Medical University Hefei 230032China Department of Obstetrics and Gynecology The First Affiliated Hospital of Wannan Medical CollegeWuhu 241001China

Objective:Uterine corpus endometrial carcinoma(UCEC),a kind of gynecologic malignancy,poses a significant risk to women’s *** precise mechanism underlying the development of UCEC remains *** finger protein 554(ZNF554),a member of the Krüppel-associated box domain zinc finger protein superfamily,was reported to be dysregulated in various illnesses,including malignant *** study aimed to examine the involvement of ZNF554 in the development of ***:The expression of ZNF554 in UCEC tissues and cell lines were examined by qRT-PCR and Western blot *** with stably overexpressed or knocked-down ZNF554 were established through lentivirus ***-8,wound healing,and Transwell invasion assays were employed to assess cell proliferation,migration,and *** iodide(PI)staining combined with fluorescence-activated cell sorting(FACS)flow cytometer was utilized to detect cell cycle ***-PCR and Western blotting were conducted to examine relative mRNA and protein *** immunoprecipitation assay and luciferase reporter assay were used to explore the regulatory role of ZNF554 in RNA binding motif 5(RBM5).Results:The expression of ZNF554 was found to be reduced in both UCEC samples and cell *** expression of ZNF554 was associated with higher tumor stage,decreased overall survival,and reduced disease-free survival in ***554 overexpression suppressed cell proliferation,migration,and invasion,while also inducing cell cycle *** contrast,a decrease in ZNF554 expression resulted in the opposite ***,ZNF554 transcriptionally regulated RBM5,leading to the deactivation of the Wingless(WNT)/β-catenin signaling ***,the findings from rescue studies demonstrated that the inhibition of RBM5 negated the impact of ZNF554 overexpression onβ-catenin and p-glycogen synthase kinase-3β(p-GSK-3β).Similarly,the deliberate activation of RBM5 reduced the increase inβ-catenin and

关键词： zinc finger protein 554 endometrial carcinoma RNA binding motif 5 Wingless/β-catenin signaling pathway

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