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Effects of carbon content on the microstructure and tensile properties of a low-density steel

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International journal of Minerals,Metallurgy and Materials 2025年第2期32卷 391-401页

作者： Yongxuan Shang Mingyu Fan Shuyong jiang Zhongwu Zhang Key Laboratory of Superlight Materials and Surface Technology Ministry of EducationCollege of Materials Science and Chemical EngineeringHarbin Engineering UniversityHarbin 150001China State Key Laboratory of Metal Material for Marine Equipment and Application Iron&Steel Research Institute of Ansteel Group CorporationAnshan 114009China

Carbon can change the phase components of low-density steels and influence the mechanical *** this study,a new method to control the carbon content and avoid the formation ofδ-ferrite by decarburization treatment was *** microstructural changes and mechanical characteristics with carbon content induced by decarburization were systematically ***-jaoul(C-j)analysis was employed to examine the work hardening characteristics during the tensile *** decarburization by heat treatments,the carbon content within the austenite phase decreased,while Mn and Al were almost unchanged;this made the steel with full austenite transform into the austenite and ferrite dual ***,(Ti,V)C carbides existed in both matrix phase and the mole fraction almost the *** addition,the formation of other carbides *** loss induced a decrease in strength due to the weakening of the carbon solid *** the steel with the single austinite,the deformation mode of austenite was the dislocation planar glide,resulting in the formation of *** the dual-phase steel,the deformation occurred by the dislocation planar glide of austenite first,with the increase in strain,the cross slip of ferrite took place,forming dislocation cells in *** the late stage of deformation,the work hardening of austinite increased rapidly,while that of ferrite increased slightly.

关键词： low-density steels carbon content decarburization strengthening mechanisms work hardening behavior

Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin jun Xu Delong jiang jiayang hou Ying Liang Zhongyue Zou Xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOh) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOh estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOh estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. however, the lack of a clear review of current research hinders the further development of ensemble methods in SOh estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOh estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Lithium-ion battery State-of-health estimation Data-driven Machine learning Ensemble learning Ensemble diversity

Cah2-promoted activity of Ni-carbonate interface for CO2 methanation

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journal of Energy Chemistry 2025年第1期100卷 522-532页

作者： jin-Peng Wang Guo-Cui Mao hui-Lin jiang Bao-Xia Dong Yun-Lei Teng School of Chemistry and Chemical Engineering Yangzhou University

Transition metal-carbonate interfaces often act as active sites in heterogeneous catalytic *** interface between transition metal and metal carbonate exhibits a dynamic equilibrium during the CO2hydrogenation reaction,involving surface carbonate hydrogenation and ***,there have been few reports on engineering the activity of the interface between transition metal and alkaline earth metal carbonate for catalytic *** work demonstrated that the incorporation of Cah2in Ni/CaCO3enhances the CO2methanation activity of the *** CO2conversion for Ni/Cah2-CaCO3reached 68.5%at 400°C,which was much higher than that of the Ni/CaCO3（31.6%） and Ni/Cah2-CaO （42.4%） ***,the Ni/Cah2-CaCO3catalysts remained stable during the stability test for 24 h at 400°C and 8 *** research revealed that Cah2played a crucial role in promoting the activity of the Ni-carbonate interface for ***2could modify the electronic structure of Ni and tune the structural properties of CaCO3to generate medium basic sites （Oh groups）,which are favorable for the activation of h2and ***-situ Fourier transform infrared spectroscopy （FTIR） analysis combined with density functional theory calculations demonstrated that CO2activation occurs at the hydroxyl group （Oh） on the Cah2-modified Ni-carbonate surface,leading to the formation of CO3h****,our study has confirmed that CO2methanation over the Ni/Cah2-CaCO3catalysts proceeds via the formate pathway.

关键词： Metal hydride Ni catalysts Carbonate Metal-carbonate interface

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小动脉征：T4a结肠癌分期的影像学特征

国际医学放射学杂志 2024年第2期 250-250页

作者： Z.Guan Z.W.Li D.Yang T.Yu h.j.jiang X.Y.Zhang 束宏敏

摘要目的通过分析现有和新提出的pT1-3和pT4a期肿瘤的影像学特征分布，寻找一个显著特征并验证其诊断效能。方法回顾性收集2016年1月—2017年12月共3个中

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Metal nanoparticles decorated CoFe-(oxy)hydroxysulfides nanosheets fabricated by a general strategy for electrocatalytic water splitting

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journal of Energy Chemistry 2025年第1期100卷 26-38页

作者： Xiaodong Yang haochen Shen Xiaoming Xiao Zhichao Li Qi Zhou Wei Yang Bin jiang Yongli Sun Luhong Zhang Zhenhua Yan School of Chemical Engineering and Technology Tianjin University Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education) Nankai University

This study presents a novel method to fabricate metal-decorated,sulfur-doped layered double hydroxides （M/SLDh） through spontaneous redox and sulfurization *** developed Ag/SLDh and Pt/SLDh catalysts with abundant heterogeneous interfaces and hierarchical nanostructures demonstrated outstanding oxygen evolution reaction （OER） and hydrogen evolution reaction （hER） performance,achieving low overpotentials of 212 and 35 mV at 10 mA cm-2in 1 M KOh,*** both anode and cathode in water splitting,they required only 1.47 V to reach 10 mA cm-2and exhibited high structural robustness,maintaining stability at 1000 mA cm-2for 300 ***-situ Raman analysis revealed that the synergistic effects of metal nanoparticles and S doping significantly promote the transformation into the S-Co1-xFexOOh layer,which serves as the active phase for water ***,ultraviolet photoelectron spectroscopy （UPS） and density functional theory （DFT） analyses indicated that incorporating metal nanoparticles and S doping increase electron density near the Fermi level and reduce reaction energy barriers,thus enhancing intrinsic OER and hER *** study provides a scalable strategy for synthesizing high-performance electrocatalysts for water splitting,with promising potential for broader applications.

关键词： LDh Spontaneous reaction Metal nanoparticles Water splitting

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从领域到属性:亲环境行为测量的问题及建议

心理科学进展 2025年第1期33卷 163-175页

作者：张玥董艺佳蒋奖华北电力大学经济与管理学院北京102206 香港城市大学社会与行为科学系香港北京师范大学心理学部应用实验心理北京市重点实验室心理学国家级实验教学示范中心(北京师范大学)北京100875

已有研究开发了大量的亲环境行为测量工具,涉及量表、个体行为范式和群体博弈范式,其中大多数测量工具是基于行为领域设计,节约、出行、垃圾处理、消费和公域行为是5个最常被提及的领域。现有依据行为领域的亲环境行为测量方式存在标准... 详细信息

已有研究开发了大量的亲环境行为测量工具,涉及量表、个体行为范式和群体博弈范式,其中大多数测量工具是基于行为领域设计,节约、出行、垃圾处理、消费和公域行为是5个最常被提及的领域。现有依据行为领域的亲环境行为测量方式存在标准化程度低及测量结果推广性受限的问题,这主要是由于缺少对行为属性这一行为决定性特征的关注。未来研究应基于行为属性选用和开发标准化测量工具,并选取多种真实行为作为效标进行效度检验。

关键词：亲环境行为行为领域行为属性测量

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多尺度差分特征增强网络的遥感影像变化检测

计算机科学与探索 2025年第1期19卷 211-222页

作者：王杰蒋伏松蒋鹏上海海洋大学工程学院上海交通大学医学院附属第六人民医院内分泌代谢科上海交通大学医学院附属第六人民医院计算机中心

遥感影像变化检测旨在识别不同时期遥感影像中的目标差异，近年来基于卷积神经网络的方法在遥感影像变化检测任务中取得了很大进展。然而，受光照变化和季节更替的影响，不同时期遥感影像中的伪变化问题仍然难以解决。同时，大多方法中... 详细信息

遥感影像变化检测旨在识别不同时期遥感影像中的目标差异，近年来基于卷积神经网络的方法在遥感影像变化检测任务中取得了很大进展。然而，受光照变化和季节更替的影响，不同时期遥感影像中的伪变化问题仍然难以解决。同时，大多方法中未充分利用多尺度特征，导致模型的性能和准确率受到一定程度的限制。针对上述问题，提出一种多尺度差分特征增强的变化检测方法。利用由孪生网络编码器和差分网络编码器组成的并行编码框架分别提取不同层级的特征，将同级的双时特征和差分特征通过拼接的方式建立两者间的互补关系。引入差分特征增强模块获取更具判别性的特征图并将其作为差分网络编码器的补充输入，丰富变化信息的同时增加模型对变化区域的关注度，使其准确地区分地物的真实变化与伪变化。为了增强特征的多样性和表达能力，使用特征错位融合模块实现语义特征的交叉融合，让每个特征中的语义信息得到充分而不同的交互。该方法在CDD数据集和LEVIRCD数据集上的F1分数分别达到了95.45%和92.04%，交并比分别达到了92.26%和82.93%，与其余八种主流方法相比均为最优，实验结果证明了该方法的有效性。

关键词：遥感影像变化检测差分增强并行编码多尺度特征融合

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中国特色高等教育话语体系的历史演进、核心要义与建构理路

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高校教育管理 2025年第1期19卷 84-98页

作者：姜嘉伟厦门大学教育研究院厦门大学教师发展中心福建厦门361005

中国特色高等教育话语体系本质上是一种坚持民族理想、推动国家治理、促进知识发展、开展对外交流的关系性实践。百年来,中国高等教育发展历经萌芽期、探索期、发展期和成长期,形成了以“救国”“革命”“改革”“复兴”为代表的高等教... 详细信息

中国特色高等教育话语体系本质上是一种坚持民族理想、推动国家治理、促进知识发展、开展对外交流的关系性实践。百年来,中国高等教育发展历经萌芽期、探索期、发展期和成长期,形成了以“救国”“革命”“改革”“复兴”为代表的高等教育话语体系。本土化是中国特色高等教育话语体系逐渐成形的关键线索,民族图像的大众化、国家权力的人民性、知识建构的自主性以及对外交流的平等性则在话语主体、话语权力、话语知识、话语秩序四个方面构成其核心要义。中国特色高等教育话语体系通过提升话语主体的民族自信、夯实话语意识形态的思想根基、提升高等教育的治理效能、激发话语知识的内生动力、重塑话语秩序的国际格局以推动中国高等教育本土化转型,不断形成具有中国现代性的高等教育理论与实践体系,全面增强中国特色高等教育话语体系的理论概括力、实践生命力、现实感召力和国际影响力。

关键词：中国特色话语体系高等教育话语体系本土化中国式现代化

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新质生产力、双循环联动与共同富裕

华东经济管理 2025年第1期39卷 10-20页

作者：王江吉林农业大学马克思主义学院吉林长春130118 东北师范大学思想政治教育研究中心吉林长春130024

文章以2012—2022年为考察区间,选取我国276个地级及以上城市面板数据,就新质生产力对共同富裕的影响效应与作用机制展开研究。基准回归结果发现,新质生产力可显著推动共同富裕;异质性分析显示,新质生产力对共同富裕的影响效应具有城市... 详细信息

文章以2012—2022年为考察区间,选取我国276个地级及以上城市面板数据,就新质生产力对共同富裕的影响效应与作用机制展开研究。基准回归结果发现,新质生产力可显著推动共同富裕;异质性分析显示,新质生产力对共同富裕的影响效应具有城市规模异质性和分时段异质性;中介效应检验表明,国内循环、国际循环以及双循环联动在新质生产力与共同富裕之间发挥中介效应;门槛效应结果证实,随着数字金融水平不断提升,新质生产力对共同富裕的影响效应持续扩大。研究结论有利于进一步发挥新质生产力“助推器”作用,为实现共同富裕目标提供有益借鉴。

关键词：共同富裕新质生产力双循环联动数字金融新发展格局

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