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Journal of Rare Earths 2025年第2期43卷 304-311页

作者： Fugang Chen Suxin Lu Jie Wang yong zhao Wenqiang zhao Zhi Xu School of Materials Science and Engineering Jiangsu University of Science and Technology Baotou Tianshi Rare Earth New Materials Co. Ltd. Jiangsu Yangzi Xinfu Shipbuilding Co. Ltd.

A sintered Nd-Y-Fe-B magnet was designed and manufactured by the multi-main-phase *** distributed Y in the magnet decreases the adverse magnetic weakening effect of Y on the *** boundary diffusion process（GBDP） was conducted to further enhance the coercivity of the Nd-Y-Fe-B *** coercivity increases significantly from 884 to 1741 kA/m after GBDP with *** mechanism of the coercivity enhancement is discussed based on the microstructure *** simulation reveals that when the diffused Tb-rich shell thickness is lower than 12 nm the c-plane shell（perpendicular to the c-axis） is much more effective in enhancing the coercivity than the side plane shell（parallel to the c-axis）.But when the Tb-rich shell thickness is above12 nm the side plane shell contributes more to the coercivity *** results in this work can help to design and manufacture Nd-Fe-B magnets with low cost and high magnetic properties.

关键词： Grain boundary diffusion Micromagnetic simulation Multi-main-phase process Nd-Fe-B magnets Rare earths

Geostatistics-block-based characterization of the relationship between rock mass quality and powder factor and its application on open-pit limit optimization

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International Journal of Mining Science and Technology 2025年第1期35卷 135-147页

作者： Jinduo Li Tianhong Yang Feiyue Liu Shigui Du Wenxue Deng yong zhao Honglei Liu Leilei Niu Zhiqiang Xu Center for Rock Instability and Seismicity Research School of Resources&Civil EngineeringNortheastern UniversityShenyang 110819China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and TechnologyHuainan 232001China Institute of Rock Mechanics Ningbo UniversityNingbo 315211China Shuguang Gold and Copper Open Pit Mine Zijin Mining Group Company LimitedHunchun 133300China

Accurately predicting the powder factor during blasting is essential for sustainable production planning in low-grade *** research presents a method for predicting powder factor based on the heterogeneity of rock mass rating(RMR).Considering a low-grade metal mine as an example,this study exploited geostatistical methods to obtain independent RMR for each block unit.A three-dimensional spatial distribution model for the powder factor was developed on the basis of the relationships between the RMR and the powder ***,models for blasting cost and mining value were built and employed to optimize the open-pit *** multi-variable model based on the RMR performed well in predicting the powder factor,achieving a correlation coefficient of 0.88(root mean square error of 4.3)and considerably outperforming the uniaxial compressive strength *** model optimization,the mean size and standard deviation of the fragments in the blast pile decreased by 8.5%and 35.1%,respectively,whereas the boulder yield and its standard deviation decreased by 33.3%and 58.8%,***,optimizing the open-pit limit using this method reduced the amount of rock,increased the amount of ore,and lowered blasting costs,thereby enhancing the economic efficiency of the *** study provides valuable insights for blasting design and mining decisions,demonstrating the advantages and potential applications of powder factor prediction based on the heterogeneity of rock mass quality.

关键词： Geostatistics method Powder factor Open-pit limit optimization Blasting cost Rock mass quality

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硬磁软连续体的磁畴可重编程与优化设计

复合材料学报 2025年第1期42卷 548-559页

作者：赵勇李木军中国科学技术大学工程科学学院

硬磁软材料是一种新型的磁驱动复合材料，其中硬磁软连续体具有响应快、变形大、生物安全性好的特点，在生物医疗、仿生、软体触手等领域获得了广泛的关注。然而，现有的硬磁软连续体通过脉冲磁场磁化，磁畴模式单一，难以满足复杂的变... 详细信息

硬磁软材料是一种新型的磁驱动复合材料，其中硬磁软连续体具有响应快、变形大、生物安全性好的特点，在生物医疗、仿生、软体触手等领域获得了广泛的关注。然而，现有的硬磁软连续体通过脉冲磁场磁化，磁畴模式单一，难以满足复杂的变形需求，此外如何解决硬磁软连续体在复杂变形下的磁畴优化设计问题也是当前的重要挑战。针对该问题，本文开发了基于二氧化铬的硬磁软连续体，通过激光直写实现了复杂磁畴模式的可重构编程。而后针对不同变形需求的磁畴分段设计问题，对尺寸大小、磁粉含量和磁畴方向进行优化设计。最后针对多种变形需求进行磁畴的优化设计并通过实验进行验证，同时进行功能化展示。

关键词：硬磁软材料二氧化铬磁畴的优化设计有限元仿真磁畴重编程

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教育范式的转变:来自生态学角度的分析

华东师范大学学报(教育科学版) 2025年第3期43卷 12-23页

作者：赵勇仲若君堪萨斯大学教育与人文科学学院美国堪萨斯州劳伦斯66045 北京易知简教育科技有限公司北京100007

AI作为学习伙伴、(可)个性化学习、学生自主权以及自我导向学习,这些新的理念为实现优质教育提供了可能性。然而,要真正落实这些理念,学校体系需要进行范式转变。尽管学校在社会体系中展现出极强的韧性(吸收变化以及自我修复),但它们在... 详细信息

AI作为学习伙伴、(可)个性化学习、学生自主权以及自我导向学习,这些新的理念为实现优质教育提供了可能性。然而,要真正落实这些理念,学校体系需要进行范式转变。尽管学校在社会体系中展现出极强的韧性(吸收变化以及自我修复),但它们在适应变革时往往也能表现出灵活性。在过去200多年里,尽管课程、教材、测试和教学方法发生了诸多变化,但学校教育的核心理念几乎没有改变。如今,为了让学生能够应对人工智能时代的不确定性,我们亟需采用一种新的教育范式,赋予学生更多的自主权与学习控制权。然而,传统学校体系似乎对真正的范式转变和系统性变革具有强大的抵抗力。本文采用生态学的潘宁体系理论(Panarchy Theory,亦称为“泛体系理论”)作为分析框架,从系统的韧性、适应性和变革能力角度出发,探讨教育变革的可能性,并提出了如何实现这一范式转变的创新路径。

关键词： AI时代课程学生自主权个性化学习教育创新/变革生态学

姜黄素介导的光动力技术保障三文鱼品质安全初步机制探究

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上海海洋大学学报 2025年第1期34卷 237-247页

作者：张涵王敬敬赵勇上海海洋大学食品学院农业农村部水产品贮藏保鲜质量安全风险评估实验室佛山大学

三文鱼因其营养丰富和口感鲜嫩深受广大消费者喜爱，然而在加工贮藏过程中易被微生物污染导致营养流失和组织结构破坏。本研究以姜黄素为光敏剂，应用光动力技术（Photodynamic technology,PDT）对三文鱼进行保鲜。通过检测PDT处理后三... 详细信息

三文鱼因其营养丰富和口感鲜嫩深受广大消费者喜爱，然而在加工贮藏过程中易被微生物污染导致营养流失和组织结构破坏。本研究以姜黄素为光敏剂，应用光动力技术（Photodynamic technology,PDT）对三文鱼进行保鲜。通过检测PDT处理后三文鱼中微生物的增殖情况探究姜黄素介导光动力的抑菌效率，并从色差、内源酶活性、组织切片和水分迁移等角度对PDT保障三文鱼品质机制进行初步探究。结果表明，150μmol/L姜黄素配合光照处理1 h可有效杀灭三文鱼中1.6 log10CFU/g微生物。此外，姜黄素介导的PDT显著抑制了三文鱼中ATP酶和脂肪酶的活性，延缓了游离氨基酸和游离脂肪酸的降解，从而保障了三文鱼结构完整性和水分含量，使其货架期延长2 d。本研究可为光动力技术在保障三文鱼品质方面提供数据和理论支持，以期推动其在食品保鲜领域的实际应用。

关键词：姜黄素光动力技术三文鱼保鲜

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基于核心素养的初中语文项目化写作教学策略

语文教学之友 2025年第1期44卷 43-45页

作者：赵永先甘肃省武威第二十四中学

写作是语文教学的重要板块。在语文教学中,强化学生的写作水平,提升写作教学的品质,对学生语文综合素养的提升和发展有着积极的影响。实施项目化写作教学,通过以学生为本位,以完成具体项目为目标实施教学,可以提升写作教学水平,促进学... 详细信息

写作是语文教学的重要板块。在语文教学中,强化学生的写作水平,提升写作教学的品质,对学生语文综合素养的提升和发展有着积极的影响。实施项目化写作教学,通过以学生为本位,以完成具体项目为目标实施教学,可以提升写作教学水平,促进学生的深度学习与发展。立足《学写传记》的写作主题,从搭设教学情境、密切联系主题等角度出发,探讨核心素养视角下初中语文项目化写作教学的有效策略。

关键词：核心素养项目化写作教学有效策略

基于PSO-BP神经网络的玛纳斯河短期径流预测

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水利技术监督 2025年第2期 29-33页

作者：赵勇安杰王帅莎车县水利局新疆喀什844700 石河子大学水利建筑工程学院新疆石河子832000 寒旱区生态水利工程兵团重点实验室新疆石河子832000 中国广核新能源投资(深圳)有限公司新疆分公司新疆乌鲁木齐830000

为提高机器学习模型在径流预测中的精度,构建基于粒子群算法(PSO)优化的反向传播(BP)神经网络模型,对肯斯瓦特水文站进行径流预测。结果表明,模型预测精度随预见期延长而下降,当预见期为1d时,各模型预测径流过程曲线与实际径流过程曲线... 详细信息

为提高机器学习模型在径流预测中的精度,构建基于粒子群算法(PSO)优化的反向传播(BP)神经网络模型,对肯斯瓦特水文站进行径流预测。结果表明,模型预测精度随预见期延长而下降,当预见期为1d时,各模型预测径流过程曲线与实际径流过程曲线基本吻合。TOPSIS综合评价表明,PSO-BP神经网络的预测性能优于LSTM、CNN和BP神经网络模型,MAE和RMSE较传统BP神经网络模型降低2.18%和0.33%,表明改进后的模型在径流预测中具有更高的适用性,具有一定的应用价值。

关键词：径流预测机器学习深度学习神经网络玛纳斯河流域

Observer-Based Controller Design for Singular Stochastic Markov Jump Systems with State Dependent Noise

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Journal of Systems Science & Complexity 2016年第4期29卷 946-958页

作者： zhao yong ZHANG Weihai College of Electrical Engineering and Automation and College of Mathematics and Systems Science Shandong University of Science and TechnologyQingdao 266590China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China

This paper is concerned with the problem of observer-based controller design for singular stochastic Markov jump systems with state-dependent noise. Two concepts called "non-impulsiveness"and "mean square admissibility" are introduced, which are different from previous ones. Sufficient conditions for the open-and closed-loop singular stochastic Markov jump systems with state-dependent noise to be mean square admissible are provided in terms of strict LMIs. The controller gain and the observer gain which guarantee the resulting closed-loop error system to be mean square admissible are obtained in turn by solving the strict LMIs. A numerical example is presented to show the efficiency of the design approach.

关键词： Linear matrix inequalities observer-based controller singular stochastic systems stability.

Multi-attribute decision making model based on optimal membership and relative entropy

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Journal of Systems Engineering and Electronics 2009年第3期20卷 537-542页

作者： Rao Congjun zhao yong Inst. of Systems Engineering Huazhong Univ. of Science and Technology Wuhan 430074 P. R. China Coll. of Mathematics and Information Science Huanggang Normal Univ. Huanggang 438000 P. R. China

To study the problems of multi-attribute decision making in which the attribute values are given in the form of linguistic fuzzy numbers and the information of attribute weights are incomplete, a new multi-attribute decision making model is presented based on the optimal membership and the relative entropy. Firstly, the definitions of the optimal membership and the relative entropy are given. Secondly, for all alternatives, a set of preference weight vectors are obtained by solving a set of linear programming models whose goals axe all to maximize the optimal membership. Thirdly, a relative entropy model is established to aggregate the preference weight vectors, thus an optimal weight vector is determined. Based on this optimal weight vector, the algorithm of deviation degree minimization is proposed to rank all the alternatives. Finally, a decision making example is given to demonstrate the feasibility and rationality of this new model.

关键词： multi-attribute decision making optimal membership relative entropy deviation degree

The First Discovered Last Glacial Maximum (LGM) Event in the Middle and Lower Region of the yongding River Basin, Southern Beijing Plain

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Acta Geologica Sinica(English Edition) 2018年第4期92卷 1676-1677页

作者： zhao yong Beijing Institute of Geological Survey Beijing 100195 China

Objective LGM is a critical climate period in the late Quaternary and is the most recent extreme cold event. Clark et al. （2009） used 4271^14C records and 475 cosmogenic nuclide datings to define LGM be in 26.5-19.0 kaBP. LGM age often changes with time in different regions （Mix et al., 2001; Zhang Zhigang et al., 2015）. However, LGM has not been described to date in the Beijing region. During our field work in 2015-2017, LGM event stratigraphy was discovered from sevral boreholes in the middle and lower region of yongding river basin, Southern Beijing plain.

关键词： LGM Southern Beijing Plain The First Discovered Last Glacial Maximum