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Effect of High-Temperature Annealing on Microstructure and Mechanical Properties of Extremely Deformed Fe35Ni35Cr20Mn10 High-Entropy Alloy Wire

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JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE 2025年第1期34卷 885-895页

作者： Shi, Mengchuan Liao, Hengcheng Zhou, Jun Li, Guangjing Cui, Zhan Yan, Tianrui liu, xuwen Southeast Univ Sch Mat Sci & Engn Jiangsu Key Lab Adv Met Mat Nanjing 211189 Peoples R China Jiangsu Univ Sci & Technol Sch Mat Sci & Engn Zhenjiang 212100 Peoples R China

Fe35Ni35Cr20Mn10 high-entropy alloy wire with a diameter of 0.45 mm, prepared by continuous cold-drawing from a rod with a diameter of 6.34 mm, was subjected to high-temperature annealing at 600, 700, 800, 900, and 1000 degrees C for 1 h. The microstructure and mechanical properties in different states were investigated by microscopy observations and tensile testing. The wire in the as-drawn state exhibited the highest strength but the lowest elongation because of its fine multilayer structure and high dislocation density. Annealing, particularly at higher temperatures, considerably reduced the yield strength and caused significant recovery in both the elongation and strain-hardening exponent. Increasing the annealing temperature significantly decreased the dislocation density, notably coarsened the recrystallized grains, and significantly increased the fraction of twin boundaries and mean widths of annealing twins. The yield strength was found to be positively related to the dislocation density, and the elongation exhibited a negative relationship. In addition to the decrease in dislocation density, the formation of annealing twins played an important role in enhancing the elongation.

关键词： cold drawing high-entropy alloy wire high-temperature annealing mechanical properties microstructure

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Pioneering Insights into the Reaction Kinetics of Metastable Intermolecular Composites Based on Metal Fluorides: Virtually non-existent condensed Phase Combustion Products and Ultra-Efficient Reactivity

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ADVANCED SCIENCE 2025年第14期12卷 e2415073页

作者： liu, xuwen Li, Jingwei Feng, Shenghua Jia, Yongsheng Hu, Maocong Yao, Yingkang Sun, Jinshan Xie, Quanmin Sang, Hongqian Jianghan Univ State Key Lab Precis Blasting Wuhan 430113 Peoples R China Jianghan Univ Hubei Key Lab Blasting Engn Wuhan 430056 Peoples R China Anhui Univ Sci & Technol Sch Chem & Blasting Engn Huainan 232001 Peoples R China Jianghan Univ Sch Optoelect Mat & Technol Wuhan 430056 Peoples R China

As a typical representative of Metastable intermolecular composites (MICs), the energy release of nano-thermites relying on aluminum-oxygen reaction is limited by the formation of high boiling point condensed phase products. Low pressure output performance constitutes another pivotal factor influencing their efficacy. In this work, metal fluorides BiF3 at different scales were incorporated into nano-thermites as oxidants, thereby facilitating the tunability of the released energy. The boiling points of all resultant reaction products fall below the combustion temperature, theoretically abolishing the agglomeration of condensed-phase products, thus preventing the entrapment of active metals. Additionally, it facilitates the smooth conduction of heat flux, thereby averting losses in biphasic flow dynamics. The n-Al/n-BiF3 system exhibits a significant amplification in reactive kinetic properties in stark contrast to the n-Al/n-Bi2O3 system. The reduction in ignition threshold is ascribed to a novel reaction kinetics mechanism within the n-Al/BiF3 system. The highly electronegative fluorine within BiF3 corrodes the Al2O3 shell, inducing a "pre-ignition" reaction. The application of Density Functional Theory (DFT) evaluations has further corroborated the n-Al/n-BiF3 system's preeminence in electron transfer capacity between the oxidizing agent and fuel, thereby furnishing an molecular-electronic basis for its potent reactive kinetic properties.

关键词： combustion mechanism metal fluorides metastable intermolecular composites nanostructured energetic materials pre-ignition reactions

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A Novel and High-Efficiency Approach to Improve the Sustainability of Agitation Leaching Technology to Refractory Copper Oxide Ore Using the Self-Pressurizing Technology

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JOURNAL OF SUSTAINABLE METALLURGY 2025年 1-17页

作者： Wang, Jian Zeng, Xin liu, xuwen Xu, Wenlong Pan, Yue Li, Jinhui Wang, Ruixiang Xiao, Yanfei Xu, Zhifeng Jiangxi Prov Key Lab Green & Low Carbon Met Strate Ganzhou 341000 Peoples R China Jiangxi Univ Sci & Technol Sch Met Engn 86 Hongqi Ave Ganzhou 341000 Peoples R China Ganzhou Engn Technol Res Ctr Green Met & Proc Inte Ganzhou 341000 Peoples R China Nanchang Univ Sch Phys & Mat Sci Nanchang 330031 Peoples R China Tibet Yulong Copper Co Ltd 22 West City Rd Chengdu 854000 Peoples R China Jiangxi Coll Appl Technol 9 Wenfeng Rd Ganzhou 341000 Peoples R China Minist Nat Resources Key Lab Ion Rare Earth Resources & Environm Ganzhou 341000 Peoples R China

Considering economics and environmental protection, the agitation leaching technology using sulfuric acid is considered a preferred alternative to recover copper oxide ores in the copper industry. However, this process is still extremely difficult to extract copper from some complex polymetallic and refractory oxide ores, such as copper oxide ores with high alkalinity gangues (HAG) and high binding rates (HBR), respectively. In this paper, a novel and high-efficiency extraction process involving agitation leaching with self-pressurizing technology at low temperatures is proposed to improve copper extraction of the refractory HAG and HBR copper oxide ores from Tibet. Under the self-pressurizing agitation leaching process, the effects of leaching parameters are investigated on copper extraction and other elements dissolution including aluminum, arsenic, and iron, respectively. The results show that the self-pressurizing leaching technology of complex copper oxide ores has some advantages, including relatively simple to apply, environmentally friendly, energy-saving, and high efficiency, especially the higher copper extraction (more than 98.0%) over the conventional agitation leaching process in the sulfuric acid media. Under optimum experimental conditions of mass ratio of copper oxide ores of 5:5, agitation speed of 400 rpm, initial sulfuric acid concentration of 4.0 mol/L, and leaching time of 60 min at 80 degrees C, the copper extraction reached 98.9%, while the maximum average pressure reached 1.31 MPa in the closed reaction vessel. The self-pressurizing leaching technology can significantly improve the adaptability of the conventional agitation leaching technology to the refractory copper oxide ore without adding the other reagent.

关键词： Self-driven pressurization Agitation leaching Copper oxide ores Low temperature

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Preparation and properties of ceramic coated nitrogen-doped carbon coated SiOx anode materials for lithium-ion batteries

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APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING 2025年第5期131卷 1-7页

作者： Zhou, Zhengyang Wen, Lijun Jin, Chenxin Hong, Junjie liu, xuwen Xu, Guojun Sun, Fugen Li, Yong Zhou, Lang Yue, Zhihao Nanchang Univ Inst Photovolta Nanchang 330031 Peoples R China Jiangxi Prov Key Lab Solar Photovolta Nanchang 330031 Peoples R China NCU GQC Inst PV HE ES Technol Gongqing 332020 Peoples R China Nanchang Univ Sch Phys & Mat Sci Nanchang 330031 Peoples R China

Nitrogen doping and carbon coating were identified to be two effective ways to alleviate the problems of silicon raw materials in our previous work. Building upon the foundation of this, a ceramic coating technique is introduced to further enhance the physical and electrochemical characteristics of nitrogen-doped carbon-coated silicon monoxide (N-doped SiOx@C) materials. This study explores the application of alumina (Al2O3) and boehmite (AlOOH) powders as coating on the surface of N-doped SiOx@C materials to assess their effects. The outcomes demonstrate that AlOOH coating surpasses Al2O3 coating in terms of wettability and liquid absorption capacity, leading to a reduction in the contact angle from 28 degrees to 20 degrees. Following 100 cycles at a current density of 1.05 Ag-1, the capacity retention rate of AlOOH coated N-doped SiOx@C materials reaches 98.4%, whereas uncoated materials maintain a capacity retention rate of 91.4%. Notably, AlOOH coating significantly enhances the electrochemical performance of N-doped SiOx@C materials.

关键词： Ceramic coating Surface modification Silicon oxide materials Lithium ion batteries

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Empowering rural revitalization in China with GAI: the application value, challenges, and optimization paths

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Cogent Food and Agriculture 2025年第1期11卷

作者： liu, xuwen School of Marxism Guangxi University Guangxi Nanning China

In the context of China’s path to modernization, rural revitalization is facing a new landscape of “technology empowerment.” Generative artificial intelligence (GAI), with its powerful text generation capabilities, continuous human-machine interaction mode, and versatility across multiple scenarios, can not only drive the comprehensive digital transformation of cities but also make significant contributions to rural revitalization. Although the application of GAI in rural revitalization has not yet become widespread, it is foreseeable that it will play a crucial role in rural revitalization across five dimensions: organizational revitalization, industrial revitalization, cultural revitalization, ecological revitalization, and talent revitalization. However, it should also be anticipated that the smooth operation of technology is influenced by external environments. Currently, the large digital divide between urban and rural areas, the insufficient integration of GAI with rural governance, and potential risks constitute practical obstacles that hinder GAI’s empowerment of rural revitalization. Therefore, it is necessary to make preparations for its role in empowering rural revitalization by advancing the construction of software and hardware infrastructure, transforming the governance approach of grassroots governments, creating a favorable application atmosphere, and strengthening institutional guarantees. © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： Artificial Intelligence China’s path to modernization GAI Human Computer Intelligence Robotics Rural Development rural revitalization sustainable development Sustainable Development technical empowerment

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党际交往推动中越命运共同体建设的机理与实践

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当代世界社会主义问题 2025年第1期 93-100,167页

作者：刘旭雯徐秦法广西大学马克思主义学院

党际交往对于推动国家关系发展有着重要意义。中共和越共同为马克思主义执政党,通过党际交往推动两国关系良性发展,能够为构建中越命运共同体营造稳定环境、凝聚共同价值、注入强大动力。两党通过高层交往、理论交流、务实合作、民间交... 详细信息

党际交往对于推动国家关系发展有着重要意义。中共和越共同为马克思主义执政党,通过党际交往推动两国关系良性发展,能够为构建中越命运共同体营造稳定环境、凝聚共同价值、注入强大动力。两党通过高层交往、理论交流、务实合作、民间交流等实践路径,不仅展现了党际交往的独特优势,也为构建具有战略意义的中越命运共同体提供了坚实支撑。

关键词：党际交往中越命运共同体中国共产党越南共产党

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民营经济助推乡村共同富裕的作用机理及优化路径

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理论月刊 2025年第4期 87-95,159页

作者：刘旭雯张龙杰广西大学马克思主义学院中共浙江省委党校党史党建部中共浙江省委党校全面从严治党研究中心

民营经济是推动乡村振兴,实现乡村现代化发展和农民共同富裕的重要力量。然而,从结构维度来看,城乡民营经济发展差距阻碍乡村产业高质量发展;从环境维度来看,制约民营经济在乡村发展的外部因素较多;从动力维度来看,民营经济面临助推共... 详细信息

民营经济是推动乡村振兴,实现乡村现代化发展和农民共同富裕的重要力量。然而,从结构维度来看,城乡民营经济发展差距阻碍乡村产业高质量发展;从环境维度来看,制约民营经济在乡村发展的外部因素较多;从动力维度来看,民营经济面临助推共同富裕动力不足的现实困境,对实现乡村农民共同富裕构成了严峻挑战,应予以纾解。民营经济通过将推动高质量发展、弘扬企业家勤劳致富精神和涵养“向上向善”文化有机融合,在推动农业农村现代化发展中赋能农民共同富裕。因此,应引导民营经济深度参与乡村振兴,助力乡村多业并举;激活乡村各类资源要素,扫除阻碍民营经济在乡村发展的外在障碍;保护民营经济合法利益,增强其助推乡村共同富裕的责任感。

关键词：民营经济乡村共同富裕乡村振兴作用机理优化路径

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新建大跨度隧道近接平行既有老旧公路隧道安全性研究

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国防交通工程与技术 2025年第2期23卷 76-82页

作者：刘旭文中铁十八局集团第三工程有限公司河北保定072750

新建大跨度隧道平行近接既有公路隧道的情况日益增多,新建隧道的施工活动往往会对既有隧道产生不可忽视的影响,确保既有公路隧道的安全稳定运行、同时顺利推进新建大跨度隧道的施工是工程技术人员面临的重要问题。深圳至岑溪高速公路新... 详细信息

新建大跨度隧道平行近接既有公路隧道的情况日益增多,新建隧道的施工活动往往会对既有隧道产生不可忽视的影响,确保既有公路隧道的安全稳定运行、同时顺利推进新建大跨度隧道的施工是工程技术人员面临的重要问题。深圳至岑溪高速公路新建莲花山隧道与既有隧道小净距相邻,对既有隧道裂缝、衬砌等病害采取相应加固措施,对新建隧道采取双侧壁导坑法、双层超前小导管+环向注浆小导管、严控爆破参数等措施推进工程施工。监测表明:既有公路隧道附近的地表位移、拱顶沉降、水平收敛的变化范围远小于变形控制标准,隧道衬砌纵波波速基本上处于控制值以下,衬砌服役状态完全满足隧道运营要求。研究对于保障既有隧道在新建工程施工期间的安全运营以及指导新建隧道的合理施工具有重要意义。

关键词：公路隧道近接平行爆破位移变形衬砌病害

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Optimized prediction of sugar content in 'Snow' pear using near-infrared diffuse reflectance spectroscopy combined with chemometrics

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SPECTROSCOPY LETTERS 2019年第7期52卷 376-388页

作者： liu, xuwen Wu, Xin Li, Guanglin Southwest Univ Coll Engn & Technol 2 Tiansheng Rd Chongqing 400715 Peoples R China Chongqing Coll Elect Engn Sch Elect & Internet Things Chongqing Peoples R China

In near-infrared spectroscopy applications, the original spectra often contain redundant information, which will seriously affect the performance of chemometric models. Therefore, preprocessing, effective wavelengths selection, and appropriate regression models are essential. The objective of this study was to optimize the nondestructive determination multivariate calibration model of sugar content in 'Snow' pears, using near-infrared diffuse reflectance spectroscopy combined with chemometrics. All data (sugar content reference values and spectra data) from three measuring positions (P1, P2, and P3, marked around the pear's equator at angular distances of approximately 120 degrees) were divided into four grouped datasets, namely Set-1 (P1), Set-2 (P2), Set-3 (P3), and Set-4 (average of the three measuring positions). All subsequent optimized processes were performed based on each grouped dataset. First, different preprocessing methods were tested and an optimal method was determined. Then, synergy interval partial least squares and synergy interval partial least squares-competitive adaptive reweighted sampling were applied to select effective regions and effective wavelengths from all wavelengths, respectively, and partial least squares regression models were established and analyzed. In addition, support vector regression models were also established for comparative study. After comprehensive analysis of prediction accuracy and model complexity, the partial least squares regression model based on the 16 selected effective wavelengths for Set-4 was optimal, with the correlation coefficient for prediction, root-mean-square error of prediction, and residual predictive deviation of 0.9701, 0.2311, and 4.12, respectively. The results indicated that with these optimized processes, the multivariate calibration model of sugar content in 'Snow' pears was effectively optimized for each dataset. In addition, it is concluded that partial least squares regression was superior t

关键词： Effective wavelengths selection model optimization near-infrared reflectance spectroscopy 'Snow' pear sugar content

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单细胞测序结合机器学习算法揭示心力衰竭病人细胞间通讯及关键调控基因

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中西医结合心脑血管病杂志 2025年第4期23卷 525-538页

作者：王学付饶晋张立刘旭雯张宇峰上海理工大学健康科学与工程学院上海200093 海军军医大学附属长征医院上海200003 广西大学医学院

目的:基于单细胞测序和机器学习算法构建心力衰竭(HF)的诊断模型,并探索HF病人中细胞间通讯。方法:使用Seurat包对单细胞转录组测序(scRNA-seq)数据质控、降维、聚类和注释。通过AUCell评估各细胞亚群的免疫活性,选择免疫活性最高的细... 详细信息

目的:基于单细胞测序和机器学习算法构建心力衰竭(HF)的诊断模型,并探索HF病人中细胞间通讯。方法:使用Seurat包对单细胞转录组测序(scRNA-seq)数据质控、降维、聚类和注释。通过AUCell评估各细胞亚群的免疫活性,选择免疫活性最高的细胞亚群进行后续分析。基于批量转录组测序(Bulk RNA-seq)数据,使用limma包筛选差异表达基因并进行基因集富集分析(GSEA)。进一步将疾病分类被作为反应变量,差异基因作为解释变量,通过4种机器学习模型来筛选具有诊断价值的巨噬细胞相关特征基因,并通过受试者工作特征(ROC)曲线评估关键基因的诊断能力。构建列线图预测HF发生的总风险分数。最后使用CellChat来探索细胞亚群之间的细胞间相互作用。结果:与正常样本相比,HF病人中巨噬细胞的比例高于正常样本,且巨噬细胞免疫活性评分最高。巨噬细胞亚群差异基因富集分析表明,白细胞介导的免疫过程和抗原的处理和呈递显著富集。多种机器学习算法相交结果发现SERPINA3、GPAT3、ANPEP和FCGBP可作为特征基因并与巨噬细胞密切相关。ROC曲线表明,诊断模型具有很好的预测能力。细胞通讯发现,由巨噬细胞移动抑制因子(MIF)介导的成纤维细胞-巨噬细胞以及ANNEXIN介导的巨噬细胞-中性粒细胞之间的信号通路表现出复杂的传出和传入动力学。结论:4个关键基因作为生物标志物具有良好的诊断价值。巨噬细胞介导的免疫过程以及细胞间通讯在HF的免疫微环境中起着关键作用。

关键词：心力衰竭单细胞测序机器学习诊断模型细胞通讯

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