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Construction of N-doped copper metal-organic frameworks for promoting photocatalytic carbon dioxide reduction to ethylene

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Science China Chemistry 2025年第2期68卷 601-609页

作者： Fan Guo Zong-Zheng He Peng Wang Xiao-yu Zhang Hongjian yu Qin-Chao Wang Wei-Yin Sun School of Chemistry and Chemical Engineering Yangzhou UniversityYangzhou 225002China Coordination Chemistry Institute State Key Laboratory of Coordination ChemistrySchool of Chemistry and Chemical EngineeringNanjing National Laboratory of MicrostructuresCollaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210023China

Engineering nonmetallic atom-doped metal-organic framework(MOF)catalyst to promote C−C coupling and realize conversion of CO_(2) into C_(2 )multi-carbon hydrocarbon products is still ***,with 2-methylimidazole as a dopant of N element,an N-doped NH_(2)-CuBDC catalyst was obtained via a facile and simple stirring *** illumination,compared with catalytic CO_(2) reduction to C1 product of CO by original MOF,N-doped NH_(2)-CuBDC can motivate generation of C_(2)H_(4),which is difficult to achieve in photocatalytic system by MOF-based *** transfer rates of photo-generated charges have been expedited due to the high electron density around Cu catalytic sites after *** importantly,C–C coupling intermediate CO–CHO*was identified by in situ Fourier transform infrared spectroscopy during the catalytic CO_(2) reduction reaction process,which further indicates the presence of Cu–N sites in the NH_(2)-CuBDC can facilitate the formation of C2H_(4) *** work uncovers a new paradigm to design photocatalysts for enhancing the reduction of CO_(2) to C_(2) products.

关键词： metal-organic frameworks C-C coupling doping photocatalytic CO_(2) reduction Cu-based catalysts

Development and application of an intelligent thermal state monitoring system for sintering machine tails based on CNN-LSTM hybrid neural networks

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Journal of Iron and Steel Research International 2025年第1期32卷 52-63页

作者： Da-lin Xiong Xin-yu Zhang Zheng-wei yu Xue-feng Zhang Hong-ming Long Liang-jun Chen Anhui Province Key Laboratory of Metallurgical Engineering&Resources Recycling Anhui University of TechnologyMa’anshan243002AnhuiChina School of Metallurgical Engineering Anhui University of TechnologyMa’anshan243032AnhuiChina School of Computer Science Anhui University of TechnologyMa’anshan243032AnhuiChina

Real-time prediction and precise control of sinter quality are pivotal for energy saving,cost reduction,quality improvement and efficiency enhancement in the ironmaking *** advance,the accuracy and comprehensiveness of sinter quality prediction,an intelligent flare monitoring system for sintering machine tails that combines hybrid neural networks integrating convolutional neural network with long short-term memory(CNN-LSTM)networks was *** system utilized a high-temperature thermal imager for image acquisition at the sintering machine tail and employed a zone-triggered method to accurately capture dynamic feature images under challenging conditions of high-temperature,high dust,and *** feature images were then segmented through a triple-iteration multi-thresholding approach based on the maximum between-class variance method to minimize detail loss during the segmentation *** the advantages of CNN and LSTM networks in capturing temporal and spatial information,a comprehensive model for sinter quality prediction was constructed,with inputs including the proportion of combustion layer,porosity rate,temperature distribution,and image features obtained from the convolutional neural network,and outputs comprising quality indicators such as underburning index,uniformity index,and FeO content of the *** accuracy is notably increased,achieving a 95.8%hit rate within an error margin of±*** the system is applied,the average qualified rate of FeO content increases from 87.24%to 89.99%,representing an improvement of 2.75%.The average monthly solid fuel consumption is reduced from 49.75 to 46.44 kg/t,leading to a 6.65%reduction and underscoring significant energy saving and cost reduction effects.

关键词： Sinter quality Convolutional neural network Long short-term memory Image segmentation FeO prediction

Evaluating complementaries among urban water,energy,infrastructure,and social Sustainable Development Goals in China

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Journal of Environmental Sciences 2025年第3期149卷 585-597页

作者： Ke yu Yifan Song Jin Lin Shen Qu School of Management and Economics Beijing Institute of TechnologyBeijing 100081China Center for Energy&Environmental Policy Research Beijing Institute of TechnologyBeijing 100081China

Urban areas’performance in water,energy,infrastructure,and socio-economic sectors is intertwined and measurable through Sustainable Development Goals(SDGs)6–*** synergy among these is critical for *** study constructs an indicator framework that reflects progress towards these urban SDGs in *** indicate underperformance in SDGs 8–11,suggesting the need for transformative *** network analysis,the research reveals complementarities among these ***,the SDG space divides into socio-economic and ecological clusters,with SDG 6(Clean Water and Sanitation)central to ***,SDG 8(Decent Work and Economic Growth)and SDG 9(Industry,Innovation,and Infrastructure)act as bridges,while greater synergies exist between SDG 12(Responsible Consumption and Production)and SDG 13(Climate Action).An in-depth view at the indicator-level shows a core-periphery structure,emphasizing indicators like SDG 6.2(Wastewater Treatment Rate)and SDG 6.6(Recycled Water Production Capacity per capita)as *** study confirms the urban SDG space’s stability and predictiveness,underscoring its value in steering well-aligned policy decisions for sustainable growth.

关键词： Sustainable development goals Synergy Urban development Policy decisions

No-go guide for the Hubble tension:Late-time or local-scale new physics

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Science China(Physics,Mechanics & Astronomy) 2025年第2期68卷 73-85页

作者： Lu Huang Shao-Jiang Wang Wang-Wei yu CAS Key Laboratory of Theoretical Physics Institute of Theoretical PhysicsChinese Academy of Sciences(CAS)Beijing100190China Asia Pacific Center for Theoretical Physics(APCTP) Pohang37673Korea Max-Planck-Institut für Gravitationsphysik(Albert-Einstein-Institut) HannoverD-30167Germany Leibniz Universität Hannover Hannover30167Germany

The standard model of modern cosmology might be cracked by the recent persistent hot debate on the Hubble-constant(H_(0))tension,which manifests itself as the sound-horizon(r_(s))tension or absolute-magnitude(M_(B))tension if deeming the origin of the Hubble tension from modifying the early or late Universe,*** this study,we achieve a fully model-independent constraint(fitting a model-independent global parameterization to a model-independent inverse distant ladder with a modelindependent high-redshift calibration)on late-time models with strong evidence against homogeneous new physics over theΛ-cold-dark-matter(ΛCDM)*** using this model-independent constraint to calibrate sufficiently local supernovae with corresponding late-time models extrapolated below the homogeneity scale,we find surprisingly that,although both H_(0)tension and MB tension are absent in our local Universe,a combination of H_(0)and M_(B)as the intercept a B of the magnitude-redshift relation exhibits 3~7σtension even for theΛCDM *** aBtension seems to call for local-scale inhomogeneous new physics disguised as local observational systematics.

关键词： Hubble constant inverse distance ladder local Universe

Prediction of intrusive gas pores caused by resin burning in sand core for iron castings

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China Foundry 2025年第1期22卷 23-32页

作者： Ji-wu Wang Xiao-long Wang yu-cheng Sun yu-hang Huang Xiu-ming Chen Xiong-zhi Wu Na Li Jin-wu Kang Tao Jing Tian-you Huang Hai-liang yu School of Mechanical Electronic and Control EngineeringBeijing Jiaotong UniversityBeijing 100044China Weichai Power Co. Ltd.Weifang 261061ShandongChina School of Mechanical Engineering Central South UniversityChangsha 41000China School of Materials Science and Engineering Key Laboratory for Advanced Materials Processing TechnologyTsinghua UniversityBeijing 100084China

In the production of castings,intrusive gas pore represents a kind of common defects which can lead to leakage in high gas-tightness requirement castings,such as cylinder blocks and cylinder heads for *** occurs due to the intrusion of gases generated during the resin burning of the sand core into castings during the casting ***,a gas generation and flow constitution model was established,in which the gas generation rate is a function of temperature and time,and the flow of gas is controlled by the gas release,conservation,and Darcy's *** heat transfer and gas flow during casting process was numerically *** dangerous point of cores is firstly identified by a virtual heat transfer method based on the similarity between heat transfer and gas flow in the sand *** gas pores in castings are predicted by the gas pressure,the viscosity and state of the melt for these dangerous *** distinct sand core structures were designed and used for the production of iron castings,and the simulated gas pore results were validated by the obtained castings.

关键词： gas pore numerical simulation iron casting sand core resin

Exponential Stability of Impulsive System via Saturated Sliding Mode Control

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 469-471页

作者： Miaomiao yu Xiaodi Li the Shandong Provincial Engineering Research Center of System Control and Intelligent Technology Shandong Normal University School of Mathematics and Statistics Shandong Normal University IEEE

Dear Editor,This letter presents a class of saturated sliding mode control (SMC)strategy for linear systems subject to impulsive disturbance and input saturation. To ensure the feasibility of proposed SMC under saturation, a relationship is established among attraction domain, saturation structure and control gain.

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Assessment of internal exposure risk from metals pollution of occupational and non-occupational populations around a non-ferrous metal smelting plant

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Journal of Environmental Sciences 2025年第1期147卷 62-73页

作者： Yingjun Wu Mengdie Qi Hang yu Guiying Li Taicheng An Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health Guangdong Key Laboratory of Environmental Catalysis and Health Risk ControlInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Guangzhou Key Laboratory of Environmental Catalysis and Pollution Control Key Laboratory for City Cluster Environmental Safety and Green DevelopmentSchool of Environmental Science and EngineeringGuangdong University of TechnologyGuangzhou 510006China

Non-ferrous metal smelting poses significant risks to public ***,the copper smelting process releases arsenic,a semi-volatile metalloid,which poses an emerging exposure risk to both workers and nearby *** comprehensively understand the internal exposure risks of metal(loid)s from copper smelting,we explored eighteen metal(loid)s and arsenic metabolites in the urine of both occupational and non-occupational populations using inductively coupled plasma mass spectrometry with high-performance liquid chromatography and compared their health *** showed that zinc and copper(485.38 and 14.00μg/L),and arsenic,lead,cadmium,vanadium,tin and antimony(46.80,6.82,2.17,0.40,0.44 and 0.23μg/L,respectively)in workers(n=179)were significantly higher compared to controls(n=168),while Zinc,tin and antimony(412.10,0.51 and 0.15μg/L,respectively)of residents were significantly higher than ***,workers had a higher monomethyl arsenic percentage(MMA%),showing lower arsenic methylation *** appointment analysis identified arsenic,lead,cadmium,antimony,tin and thallium as co-exposure metal(loid)s from copper smelting,positively relating to the age of *** hazard index(HI)of workers exceeded 1.0,while residents and control were approximately at ***,all three populations had accumulated cancer risks exceeding 1.0×10^(-4),and arsenite(AsIII)was the main contributor to the variation of workers and ***,residents living closer to the smelting plant had higher health *** study reveals arsenic exposure metabolites and multiple metals as emerging contaminants for copper smelting exposure populations,providing valuable insights for pollution control in non-ferrous metal smelting.

关键词： Arsenic metabolites Metal(loid)s Non-ferrous metal smelting Human biomonitoring Exposure Urine

南昌东北部地下水重金属污染源解析及健康风险评价

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环境科学 2025年第2期46卷 854-863页

作者：陈雯余绍文廖金王世昌刘广宁中国地质调查局武汉地质调查中心(中南地质科技创新中心) 武汉430205

地下水重金属污染严重威胁生态安全和人体健康.长江中游鄱阳湖平原广泛分布原生高砷、高铁和高锰地下水,城市化和人类活动又进一步加剧了地下水重金属污染,开展重金属污染源解析及健康风险评价可为该地区地下水重金属污染的精准防控及... 详细信息

地下水重金属污染严重威胁生态安全和人体健康.长江中游鄱阳湖平原广泛分布原生高砷、高铁和高锰地下水,城市化和人类活动又进一步加剧了地下水重金属污染,开展重金属污染源解析及健康风险评价可为该地区地下水重金属污染的精准防控及居民健康管理提供科学依据.因此,选取鄱阳湖平原中心城市——南昌东北部作为研究区,采集94组地下水样品,利用PMF模型和健康风险评价模型解析评估了南昌东北部地下水中重金属污染源及其健康风险.结果表明:(1)研究区地下水重金属元素质量浓度均值排序为:Mn>Fe>As>Zn>Al>Cd>Pb>Cu>Hg,其中Mn、Fe和As质量浓度均值超过了地下水质量标准(GB/T 14848-2017)III类水标准限值,各重金属空间分布差异较大;(2)污染源解析结果表明:自然源和农业活动混合源、交通污染源、垃圾焚烧和矿物溶解是南昌东北部地下水中重金属的4个主要来源,其中自然源和农业活动混合源对重金属的累计贡献率最大(80.1%);(3)健康风险评价结果表明:经饮水摄入途径暴露的健康风险远高于皮肤入渗途径.非致癌健康风险(HI)主要由As经饮水摄入途径引起,两个人群的非致癌健康风险均超过了可接受水平(HI>1).由As引起的致癌风险值(CR)在成人群体、两种途径下和儿童群体、饮水途径下以及由Cd引起的致癌风险值在儿童群体和饮水途径下,均高于最大可接受风险水平(1E-04).从饮水安全角度考虑,在饮用前需要对地下水中的As和Cd进行适当控制.

关键词：地下水重金属健康风险评价源解析南昌

Method for Estimating the State of Health of Lithium-ion Batteries Based on Differential Thermal Voltammetry and Sparrow Search Algorithm-Elman Neural Network

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Energy Engineering 2025年第1期122卷 203-220页

作者： yu Zhang Daoyu Zhang TiezhouWu School of Electrical and Electronic Engineering Hubei University of TechnologyWuhan430068China

Precisely estimating the state of health(SOH)of lithium-ion batteries is essential for battery management systems(BMS),as it plays a key role in ensuring the safe and reliable operation of battery ***,current SOH estimation methods often overlook the valuable temperature information that can effectively characterize battery aging during capacity ***,the Elman neural network,which is commonly employed for SOH estimation,exhibits several drawbacks,including slow training speed,a tendency to become trapped in local minima,and the initialization of weights and thresholds using pseudo-random numbers,leading to unstable model *** address these issues,this study addresses the challenge of precise and effective SOH detection by proposing a method for estimating the SOH of lithium-ion batteries based on differential thermal voltammetry(DTV)and an SSA-Elman neural ***,two health features(HFs)considering temperature factors and battery voltage are extracted fromthe differential thermal voltammetry curves and incremental capacity ***,the Sparrow Search Algorithm(SSA)is employed to optimize the initial weights and thresholds of the Elman neural network,forming the SSA-Elman neural network *** validate the performance,various neural networks,including the proposed SSA-Elman network,are tested using the Oxford battery aging *** experimental results demonstrate that the method developed in this study achieves superior accuracy and robustness,with a mean absolute error(MAE)of less than 0.9%and a rootmean square error(RMSE)below 1.4%.

关键词： Lithium-ion battery state of health differential thermal voltammetry Sparrow Search Algorithm