科研成果 by Type: 期刊论文

2026
李颀, 刘欣, 周羿, 高廷明. 当前中国的父母受教育程度、家庭权力结构与子女姓氏. 青年研究. 2026;2026(2):134-154.Abstract
虽然子女冠父姓的文化规范在中国社会仍居于主导地位,但随着女性受教育程度的持续提高,这一规范正受到冲击并发生改变。本文认为,为家庭贡献较多资源、在家庭权力结构中处于优势地位的一方更有可能获得子女冠姓权。本文通过对中国家庭追踪调查2010—2016年的数据分析发现,母亲受教育程度越高越有可能在家中主事,子女越有可能冠母姓;相较于父母教育同质婚,母亲教育向下婚更有可能使母亲在家中主事,子女也越有可能冠母姓。上述发现支持了基于权力结构论的研究假设。
鞠孜涵, 王延飞 王冰琪 李国俊. 技术项目的情报事实谱系构建研究. 情报理论与实践. 2026;49(2):1-8.Abstract
【目的/意义】 解决决策过程中信息不完备的问题,始终是情报工作的中心任务。基于情报事实谱系,提供技术项目预见,是应对不确定性的核心关切。 【方法/过程】 探讨情报事实谱系构建的必要性及构建原则。从谱系架构设计、情报事实的扫描评估、摹因制作、摹因著录4个方面,详细阐述情报事实谱系构建的具体方法,并展示摹因刻画的结果。 【结果/结论】 情报研究重视在事实基础上的分析,按照情报任务要求建立情报事实谱系,是时代赋予情报机构和情报人的重要责任。
贾积有 陈昂轩. 推理语言模型赋能教育的实践价值、风险挑战与发展进路. 北京大学教育评论. 2026;24(1):66-77+188.
李文琦, 张鹏翼, 王军. 数据管护模型的系统性综述与理论框架构建. 图书情报知识. 2026.
陈功, 张承蒙. 气候老年学的方法论建构:范式转换与中国实践. 成都理工大学学报(社会科学版). 2026;34:54-70.
易红梅, 何煦, 智华勇, 黄季焜, 陈曦. 涉农数智技术采纳现状与现实挑战:基于两套具有代表性农户调查的研究. 智慧农业(中英文) [Internet]. 2026:1-16. 访问链接
刘怀亚, 贾积有. 生成式人工智能促进学生高阶思维发展的内在机制和教学建议——基于IRIT模型的构建. 北京教育学院学报 [Internet]. 2026;40(2):81-87. 访问链接
杨佳兴, 吴亚南, 李文琦, 张鹏翼, 王军. 生成式人工智能赋能文献遗产活化的方法路径分析. 图书馆杂志. 2026.
刘智锋, 罗鹏程, 唐星龙, 赵思琪, 王继民*. 组态视角下科学数据复用的驱动因素研究. 情报理论与实践. 2026;49(1):50-59.
金帆, 张鹏翼. 虚拟馆员的应用需求及启示——基于Q方法的探索研究. 图书情报工作. 2026.
金子,马昕蕾,杨明,邢昕. 血红蛋白结构与冬眠哺乳动物高氧亲和力研究. 兽类学报 [Internet]. 2026. 访问链接
张青萍, 高明. 迁移家庭的教育投资:基本事实、动因及结果. 金融研究. 2026;555(9):76–94.Abstract
本文使用具有全国代表性的家庭调查数据,系统考察迁移家庭教育投资的基本事实、动因及结果。实证发现,相较于本地家庭,迁移家庭教育投资更高。这一现象并不能由养老保障、风险分担和公共教育资源获取差异所解释,而是源于代际利他性动机:一方面,过往的社会地位跃升经历强化了迁移家庭对于教育回报和教育投资的信心;另一方面,当面临社会比较劣势、公共教育资源不足及社会网络缺乏时,迁移家庭会进一步增加教育投资。然而,平均而言,迁移家庭子代并未因更高的教育投资实现更高的向上流动;只有在代际流动性较高的环境中,迁移家庭更高的教育投资才能体现为子代更高的教育获得和收入水平。本文研究有助于深入理解迁移家庭的教育决策行为,为推进以人为核心的新型城镇化提供参考。
唐星龙, 徐扬*. 面向战略布局梳理的人智协作模式研究. 情报资料工作 [Internet]. 2026:1-26. 访问链接
2025
Gong J, Yin Z, Lei Y, Lu X, Zhang Q, Cai C, Chai Q, Chen H, Chen R, Chen W. The 2023 report of the synergetic roadmap on carbon neutrality and clean air for China: Carbon reduction, pollution mitigation, greening, and growth. Environmental Science and Ecotechnology. 2025;23:100517.
李雅瑄, 陈昂轩, 贾积有. 2024中国教育技术研究前沿与热点年度报告. 中国电化教育. 2025;2025(5):61-67.
Du J, Haley BA, McManus J, Blaser P, Rickli J, Vance D. Abyssal seafloor as a key driver of ocean trace-metal biogeochemical cycles. Nature [Internet]. 2025;642:620–627. 访问链接Abstract
Trace elements and isotopes (TEIs) are important to marine life and are essential tools for studying ocean processes1. Two different frameworks have arisen regarding marine TEI cycling: reversible scavenging favours water-column control on TEI distributions2–5, and seafloor boundary exchange emphasizes sedimentary imprints on water-column biogeochemistry6,7. These two views lead to disparate interpretations of TEI behaviours8–10. Here we use rare earth elements and neodymium isotopes as exemplar tracers of particle scavenging11 and boundary exchange6,7,12. We integrate these data with models of particle cycling and sediment diagenesis to propose a general framework for marine TEI cycling. We show that, for elements with greater affinity for manganese oxide than biogenic particles, scavenging is a net sink throughout the water column, contrary to a common assumption for reversible scavenging3,13. In this case, a benthic flux supports increasing elemental concentrations with water depth. This sedimentary source consists of two components: one recycled from elements scavenged by water-column particles, and another newly introduced to the water column through marine silicate weathering inside sediment8,14,15. Abyssal oxic diagenesis drives this benthic source, and exerts a strong influence on water-column biogeochemistry through seafloor geometry and bottom-intensified turbulent mixing16,17. Our findings affirm the role of authigenic minerals, often overshadowed by biogenic particles, in water-column cycling18, and suggest that the abyssal seafloor, often regarded as inactive, is a focus of biogeochemical transformation19,20.
Activation of Chlorite with Sunlight for the Efficient Disinfection of Antibiotic-Resistant Bacteria: the Overlooked Contribution of Cytomembrane-Bound Chlorite
Shen Y, Liu F, Liang J, Li Z, Hou Y, Wu J, Ting Y, Guo R, Liu Y, Han P, et al. Activation of Chlorite with Sunlight for the Efficient Disinfection of Antibiotic-Resistant Bacteria: the Overlooked Contribution of Cytomembrane-Bound Chlorite. Environmental Science & Technology [Internet]. 2025;59:19526-19536. 访问链接Abstract
Current antibiotic-resistant bacteria (ARB) disinfection techniques commonly rely on large dosages of oxidants, resulting in the presence of considerable amounts of residuals and toxic disinfection byproducts (DBPs) in water. Herein, we propose a highly effective ARB disinfection approach via activating an ultralow concentration (10 μM) of chlorite (ClO2–) by naturally abundant sunlight to generate various reactive species (i.e., HO•, Cl•, ClO•, and ClO2) with negligible generation of halogenated DBPs. Combining in situ characterization with theoretical calculations, we reveal that, in addition to the photolysis of ClO2– in the bulk solution, ClO2– ions electrostatically adsorbed on the positive local sites of lipids can boost light absorption and facilitate the in situ generation of reactive species upon sunlight irradiation, enabling more efficient attacks toward cell membranes and the intracellular antioxidant enzyme system. The intracellular antibiotic resistance genes (ARGs) are then released and further degraded, inhibiting horizontal ARG transfer. This approach can also achieve excellent ARB disinfection performance in real water matrices (e.g., lake and river water) in 1 L tanks and 500 mL plastic bottles with natural sunlight irradiation. Overall, this work presents an efficient, safe, and sustainable method to inactivate ARB with deep insights into disinfection mechanisms at the subcellular level.
Guo H, Sun T, Liu H, Wu Z. Adaptive Ensemble Learning With Category-Aware Attention and Local Contrastive Loss. IEEE Transactions on Circuits and Systems for Video Technology [Internet]. 2025;35:1224–1236. 访问链接
Deng Y, Shao S, Mogilner A, Xia M. Adaptive hyperbolic-cross-space mapped Jacobi method on unbounded domains with applications to solving multidimensional spatiotemporal integrodifferential equations. Journal of Computational Physics [Internet]. 2025;520:113492. 访问链接Abstract
In this paper, we develop a new adaptive hyperbolic-cross-space mapped Jacobi (AHMJ) method for solving multidimensional spatiotemporal integrodifferential equations in unbounded domains. By devising adaptive techniques for sparse mapped Jacobi spectral expansions defined in a hyperbolic cross space, our proposed AHMJ method can efficiently solve various spatiotemporal integrodifferential equations such as the anomalous diffusion model with reduced numbers of basis functions. Our analysis of the AHMJ method gives a uniform upper error bound for solving a class of spatiotemporal integrodifferential equations, leading to effective error control.
Guo X, Yu W, Li X, Wang H, Liu Q, Zou Y, Gao Y, Chen Z, Xiao L, Qu B. Ag management of rudorffites solar cells utilizing aliphatic ammonium. MATERIALS FUTURES. 2025;4.

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