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RE-SEGNN:recurrent semantic evidence-aware graph neural network for temporal knowledge graph forecasting

Science China(Information Sciences) 2025年

作者： Wenyu CAI Mengfan LI Xuanhua shi Yuanxin FAN Quntao ZHU Hai JIN National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and TechnologyHuazhong University of Science and Technology

Temporal knowledge graph(TKG) reasoning, has seen widespread use for modeling real-world events, particularly in extrapolation settings. Nevertheless, most previous studies are embedded models, which require both entity and relation embedding to make predictions, ignoring the semantic correlations among different entities and relations within the same timestamp. This can lead to random and nonsensical predictions when unseen entities or relations occur. Furthermore, many existing models exhibit limitations in handling highly correlated historical facts with extensive temporal depth. They often either overlook such facts or overly accentuate the relationships between recurring past occurrences and their current counterparts. Due to the dynamic nature of TKG, effectively capturing the evolving semantics between different timestamps can be *** address these shortcomings, we propose the recurrent semantic evidenceaware graph neural network(RE-SEGNN), a novel graph neural network that can learn the semantics of entities and relations simultaneously. For the former challenge, our model can predict a possible answer to missing quadruples based on semantics when facing unseen entities or relations. For the latter problem, based on an obvious established force, both the recency and frequency of semantic history tend to confer a higher reference value for the current. We use the Hawkes process to compute the semantic trend, which allows the semantics of recent facts to gain more attention than those of distant facts. Experimental results show that RE-SEGNN outperforms all SOTA models in entity prediction on 6 widely used datasets, and 5 datasets in relation prediction. Furthermore, the case study shows how our model can deal with unseen entities and relations.

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Upcycling of polyethylene terephthalate to1,4-cyclohexanedimethanol in water

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Science China Chemistry 2025年

作者： Shuhui Fang Zhiwen Gao Xinrui shi Min Zhang Wei Zhang Yue Liu State Key Laboratory of Petroleum Molecular & Process Engineering Shanghai Key Laboratory of Green Chemistry and Chemical ProcessesSchool of Chemistry and Molecular Engineering East China Normal University Engineering Center for Sustainable Carbon Science and Technology East China Normal University Institute of Eco-Chongming

The recycling of waste polyethylene terephthalate（PET）, an extensively used polymer as plastic and fiber materials, has become an urgent topic due to the rapid generation and accumulation of plastic waste into the environment. Current chemical recycling approaches to depolymerize and convert PET into 1,4-cyclohexanedimethanol（CHDM）, an important chemical in the production of advanced polyesters, predominantly use organic solvents, such as alcohols or dioxane. Herein, we developed an environmentally friendly and economically viable pathway for converting PET to CHDM using water as the solvent. In this process, PET is sequentially hydrolyzed in water, hydrogenated to 1,4-cyclohexane dicarboxylic acid（CHDA）, and then reduced to CHDM. The PET conversion rate is self-enhanced in aqueous medium via acid-catalyzed hydrolysis by the generated CHDA intermediate. A Pd-based catalyst（e.g., Pd/C） selectively hydrogenates the arene ring of the PET monomer, terephthalic acid intermediate, and a Ru-Sn/C bimetallic catalyst reduces its COOH to CH2OH group. At optimized reaction conditions, a complete conversion of PET and 80.1% yield of CHDM are obtained. Alternatively, this approach can also efficiently produce CHDA from PET, with a yield up to 86.4%.

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Cooperative output regulation of heterogeneous directed multi-agent systems: a fully distributed model-free reinforcement learning framework

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Science China(Information Sciences) 2025年

作者： Xiongtao shi Yanjie LI Chenglong DU Huiping LI Chaoyang CHEN Weihua GUI Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics School of Mechanical Engineering and Automation Harbin Institute of Technology (Shenzhen) School of Automation Central South University School of Marine Science and Technology Northwestern Polytechnical University School of Information and Electrical Engineering Hunan University of Science and Technology

In this paper, the cooperative output regulation (COR) problem of a class of unknown heterogeneous multi-agent systems (MASs) with directed graphs is studied via a model-free reinforcement learning (RL) based fully distributed eventtriggered control (ETC) strategy. First, we consider the scenario that the exosystem is accessible globally to all agents, an internal model-based augmented algebraic Riccati equation (AARE) is constructed, and its solution is learned by the proposed model-free RL algorithm via online input-output data. Further, for the scenario that the exosystem is accessible only to its adjacent followers, the distributed observers are designed for each agent to get the state of the exosystem, and an internal modelbased fully distributed adaptive ETC protocol is then synthesized to construct the corresponding AARE, and the feedback gain matrix is learned in a model-free fashion. The model-free RL-based control protocol proposed in this paper can not only remove the prior knowledge of agents’ dynamics, but also release the dependence on global information by the adaptive event-triggered mechanism (ETM) and the new graph-based Lyapunov function. Finally, simulation results are illustrated to show the feasibility and effectiveness of the proposed control scheme.

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Inhibition of the NLRP3 inflammasome attenuates spiral ganglion neuron degeneration in aminoglycoside-induced hearing loss

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Neural Regeneration Research 2025年第10期20卷 3025-3039页

作者： Jia Fang Zhuangzhuang Li Pengjun Wang Xiaoxu Zhang Song Mao Yini Li Dongzhen Yu Xiaoyan Li Yazhi Xing Haibo shi Shankai Yin Department of Otolaryngology Head and Neck Surgery Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of MedicineOtolaryngology Institute of Shanghai Jiao Tong UniversityShanghai Key Laboratory of Sleep Disordered BreathingShanghaiChina Department of Otorhinolaryngology-Head and Neck Surgery Shanghai Children’s HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghaiChina

Aminoglycosides are a widely used class of antibacterials renowned for their effectiveness and broad antimicrobial ***,their use leads to irreversible hearing damage by causing apoptosis of hair cells as their direct *** addition,the hearing damage caused by aminoglycosides involves damage of spiral ganglion neurons upon *** investigate the mechanisms underlying spiral ganglion neuron degeneration induced by aminoglycosides,we used a C57BL/6J mouse model treated with *** found that the mice exhibited auditory deficits following the acute loss of outer hair *** ganglion neurons displayed hallmarks of pyroptosis and exhibited progressive degeneration over *** profiling of these neurons showed significant upregulation of genes associated with inflammation and immune response,particularly those related to the NLRP3 *** of the canonical pyroptotic pathway in spiral ganglion neurons was observed,accompanied by infiltration of macrophages and the release of proinflammatory *** intervention targeting NLRP3 using Mcc950 and genetic intervention using NLRP3 knockout ameliorated spiral ganglion neuron degeneration in the injury *** findings suggest that NLRP3 inflammasome-mediated pyroptosis plays a role in aminoglycoside-induced spiral ganglion neuron *** of this pathway may offer a potential therapeutic strategy for treating sensorineural hearing loss by reducing spiral ganglion neuron degeneration.

关键词： degeneration hearing loss macrophages Mcc950 neuroinflammation NLRP3 inflammasome ototoxicity pyroptosis sensorineural hearing loss spiral ganglion neuron

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T cell interactions with microglia in immune-inflammatory processes of ischemic stroke

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Neural Regeneration Research 2025年第5期20卷 1277-1292页

作者： Yuxiao Zheng Zilin Ren Ying Liu Juntang Yan Congai Chen Yanhui He Yuyu shi Fafeng Cheng Qingguo Wang Changxiang Li Xueqian Wang School of Traditional Chinese Medicine Beijing University of Chinese MedicineBeijingChina Library Beijing University of Chinese MedicineBeijingChina Dongzhimen Hospital Beijing University of Chinese MedicineBeijingChina

The primary mechanism of secondary injury after cerebral ischemia may be the brain inflammation that emerges after an ischemic stroke,which promotes neuronal death and inhibits nerve tissue *** the first immune cells to be activated after an ischemic stroke,microglia play an important immunomodulatory role in the progression of the *** an ischemic stroke,peripheral blood immune cells(mainly T cells)are recruited to the central nervous system by chemokines secreted by immune cells in the brain,where they interact with central nervous system cells(mainly microglia)to trigger a secondary neuroimmune *** review summarizes the interactions between T cells and microglia in the immune-inflammatory processes of ischemic *** found that,during ischemic stroke,T cells and microglia demonstrate a more pronounced synergistic ***1,Th17,and M1 microglia can co-secrete proinflammatory factors,such as interferon-γ,tumor necrosis factor-α,and interleukin-1β,to promote neuroinflammation and exacerbate brain ***2,Treg,and M2 microglia jointly secrete anti-inflammatory factors,such as interleukin-4,interleukin-10,and transforming growth factor-β,to inhibit the progression of neuroinflammation,as well as growth factors such as brain-derived neurotrophic factor to promote nerve regeneration and repair brain *** interactions between microglia and T cells influence the direction of the subsequent neuroinflammation,which in turn determines the prognosis of ischemic stroke *** trials have been conducted on the ways to modulate the interactions between T cells and microglia toward anti-inflammatory communication using the immunosuppressant fingolimod or overdosing with Treg cells to promote neural tissue repair and reduce the damage caused by ischemic ***,such studies have been relatively infrequent,and clinical experience is still *** summary,in ischemic stroke,T cell subsets and activated micro

关键词： brain immune inflammation interaction ischemic stroke mechanism microglia neuron secondary injury T cells

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Translation of steel surface defect detection algorithm with fusion of multiple attention detection heads

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Optoelectronics Letters 2025年

作者： shi Tao CUI Jie LI Song Tianjin University of Technology， School of Electrical Engineering and Automation North China University of Science and Technology， School of Electrical Engineering

This paper proposes an end-to-end defect detection algorithm model called YOLOv5-CJ to address the issues of missed detections and low accuracy in visual steel surface defect detection. By incorporating the C3＿MSBlock module， which is designed based on Res2Net and contains multi-scale information， into the backbone network， the model can represent multi-scale features at a finer granularity level and increase the network's receptive field. In the detection head， the DyHead attention mechanism is introduced， which integrates scale awareness， spatial awareness， and task awareness， to help the model better cope with complex industrial scenes with large background interference， significant defect scale variations， and easily confused defect categories. Soft NMS is employed to enhance the recognition capability in overlapping regions. Experimental results demonstrate that the proposed YOLOv5-CJ model outperforms YOLOv5s，achieving an average precision (mAP0.5 and mAP0.5:0.95) improvement of 1.9% and 7.2% on the NEU-DET dataset， and 5.3% and 4.3% on the GC10-DET dataset， respectively， validating the feasibility and effectiveness of the proposed model.

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Transient chemical-mediated epigenetic modulation confers unrestricted lineage potential on human primed pluripotent stem cells

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Science China Life Sciences 2025年

作者： shi Chen Yuanyuan He Lejun Lv Bei Liu Cheng Li Hongkui Deng Jun Xu Department of Cell Biology School of Basic Medical Sciences Peking University Stem Cell Research Center Peking University Health Science Center Peking University Academy of Advanced Interdisciplinary Studies Peking University BeiCell Therapeutics School of Life Sciences Center for Bioinformatics Center for Statistical Science Peking University MOE Engineering Research Center of Regenerative Medicine School of Basic Medical Sciences State Key Laboratory of Natural and Biomimetic Drugs Peking University Health Science Center and the MOE Key Laboratory of Cell Proliferation and Differentiation College of Life Sciences Peking-Tsinghua Center for Life Sciences Peking University

Human primed pluripotent stem cells are capable of generating all the embryonic ***,their extraembryonic trophectoderm potentials are *** remains unclear how to expand their developmental potential to trophectoderm *** we show that transient treatment with a cocktail of small molecule epigenetic modulators imparts trophectoderm lineage potentials to human primed pluripotent stem cells while preserving their embryonic *** chemically treated cells can generate trophectoderm-like cells and downstream trophoblast stem cells,diverging into syncytiotrophoblast and extravillous trophoblast *** and CUT&Tag analyses reveal that these induced cells share transcriptional profiles with in vivo trophectoderm and cytotrophoblast,and exhibit reduced H3K27me3 modification at gene loci specific to trophoblast lineages compared with primed pluripotent *** exploration highlighted the critical roles of epigenetic modulators HDAC2,EZH1/2,and KDM5s in the activation of trophoblast lineage *** findings demonstrate that transient epigenetic resetting activates unrestricted lineage potential in human primed pluripotent stem cells,and offer new mechanistic insights into human trophoblast lineage specification and in vitro models for studying placental development and related disorders.

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略论唐代宰相制度

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史学集刊 2025年第1期 88-97页

作者：孟宪实中国人民大学历史学院北京100872

在中国古代政治制度史中,宰相制度无疑是一个重要课题。众所周知,在讨论中国的皇帝制度时,有一个重要的观点是讨论“君权”与“相权”的斗争,而君权的不断增长、相权的不断被削弱,正是君主专制持续发展的重要途径。事实上,各个时期的宰... 详细信息

在中国古代政治制度史中,宰相制度无疑是一个重要课题。众所周知,在讨论中国的皇帝制度时,有一个重要的观点是讨论“君权”与“相权”的斗争,而君权的不断增长、相权的不断被削弱,正是君主专制持续发展的重要途径。事实上,各个时期的宰相制度既有变迁,又各具特色,从每个朝代的宰相制度是否能够得出君主专制获得发展的结论,显然是需要具体论证的。唐代宰相制度的研究,通常是在三省制的背景下展开的,而唐代的宰相制度也有自己的发展变化。唐代宰相制度经过三个历史时期,政事堂时期是兼职宰相时期,中书门下时期是专职宰相时期。自唐后期至北宋,是首相制时期。唐代宰相制度的变化,是不是君相斗争的结果?而从兼职宰相到专职宰相再到首相制,宰相的职权明显是处在加强的进程中,按照君相斗争的习惯思路,难道是君主在君相斗争中败下阵来?恐怕不能得出这样的结论。此外,唐宋历史的关系,向来有“唐宋变革论”,强调唐宋之别,但从宰相制度来看,唐宋历史的联系性似乎更突出。

关键词：唐代政事堂中书门下首相制

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习近平关于新质生产力重要论述的理论体系和实践指向研究

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新疆师范大学学报（哲学社会科学版） 2025年第1期46卷 60-68页

作者：方世南苏州大学东吴智库苏州大学马克思主义学院江苏省习近平新时代中国特色社会主义思想研究中心苏州大学基地江苏苏州215006

习近平总书记关于新质生产力重要论述深刻阐明了新质生产力的基本内涵、本质特征、鲜明标志、核心要素、形成规律以及实现路径等重大理论和实践问题,是具有重大原创性、标识性、系统性、实践性的理论创新成果,是习近平新时代中国特色社... 详细信息

习近平总书记关于新质生产力重要论述深刻阐明了新质生产力的基本内涵、本质特征、鲜明标志、核心要素、形成规律以及实现路径等重大理论和实践问题,是具有重大原创性、标识性、系统性、实践性的理论创新成果,是习近平新时代中国特色社会主义思想的重要组成部分。习近平总书记关于新质生产力重要论述是在推进中国式现代化进程中形成的新的生产力理论,是指导我国经济社会高质量发展的学理化、体系化的理论体系,是具有深邃而丰富辩证法则的实践指向。

关键词：中国式现代化新质生产力重要论述理论体系实践指向

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含孔洞CoCrNiFeCu高熵合金纳米压入的分子动力学模拟

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原子与分子物理学报 2025年第3期42卷 141-148页

作者：史银花施琴江苏联合职业技术学院镇江分院镇江212016

高熵合金具有优异的力学性能、耐磨耐蚀耐高温等性能,成为未来最有发展潜力的新型材料之一.因此,本文通过分子动力学模拟的方法探究了孔洞对CoCrNiFeCu高熵合金模型纳米压痕力学性能和位错演化的影响.结果表明,屈服点、载荷、杨氏模量... 详细信息

高熵合金具有优异的力学性能、耐磨耐蚀耐高温等性能,成为未来最有发展潜力的新型材料之一.因此,本文通过分子动力学模拟的方法探究了孔洞对CoCrNiFeCu高熵合金模型纳米压痕力学性能和位错演化的影响.结果表明,屈服点、载荷、杨氏模量和硬度等力学参数随着孔洞深度D的增加呈现先增加后稳定的趋势.孔洞的存在显著影响了位错形核的位置,随着孔洞深度的增加,初始位错优先在孔洞与表面之间形成,随后集中在模型表面形成,且位错环由平面圆环状转变为“翼状”.在孔洞深度较小时(D<40A),位错环沿(110)面水平扩展,随着孔洞深度的增加,位错环开始向下扩展.此外,在压痕深度为30?时,位错密度随着孔洞深度的增加逐渐增加.

关键词： CoCrNiFeCu 分子动力学纳米压入力学性能位错演变

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