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Spiking Reinforcement Learning Enhanced by Bioinspired Event Source of Multi-dendrite Spiking Neuron and Dynamic Thresholds

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IEEE/CAA Journal of Automatica Sinica 2025年第3期12卷 618-629页

作者： xingyue Liang Qiaoyun Wu Yun Zhou Chunyu Tan Hongfu Yin Changyin Sun the School of Artificial Intelligence Anhui University Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education IEEE the Institute of Artificial Intelligence Hefei Comprehensive National Science Center the School of Automation Southeast University the Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education

Deep reinforcement learning(DRL) achieves success through the representational capabilities of deep neural networks(DNNs). Compared to DNNs, spiking neural networks(SNNs),known for their binary spike information processing, exhibit more biological characteristics. However, the challenge of using SNNs to simulate more biologically characteristic neuronal dynamics to optimize decision-making tasks remains, directly related to the information integration and transmission in *** by the advanced computational power of dendrites in biological neurons, we propose a multi-dendrite spiking neuron(MDSN) model based on Multi-compartment spiking neurons(MCN), expanding dendrite types from two to multiple and deriving the analytical solution of somatic membrane *** apply the MDSN to deep distributional reinforcement learning to enhance its performance in executing complex decisionmaking tasks. The proposed model can effectively and adaptively integrate and transmit meaningful information from different sources. Our model uses a bioinspired event-enhanced dendrite structure to emphasize features. Meanwhile, by utilizing dynamic membrane potential thresholds, it adaptively maintains the homeostasis of MDSN. Extensive experiments on Atari games show that the proposed model outperforms some state-of-the-art spiking distributional RL models by a significant margin.

关键词： Deep reinforcement learning multi-compartment spiking neurons spiking neural network

Self-assembled carbon monoxide nanoprodrug for chemiexcitationtriggered synergistic chemotherapy against breast cancer

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Science China Chemistry 2025年

作者： Shunfei Cui Yiyao Pan Chenzhe Ma Bin Qi Qingqiang Min Ming Li Huabing Chen Hengte Ke xingyue Ji Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development College of Pharmaceutical ScienceSoochow University

Carbon monoxide（CO） has recently been well-established as a promising therapeutic modality against cancer. The development of transition-metal-free and tumor-targeted delivery platforms for CO is highly demanded but remains very sporadic. Herein, we developed a polyprodrug system for the co-delivery of CO and a chemotherapeutic agent combretastin A-4（CA-4） to the tumor site based on a chemiexcitation mechanism. Such a poly-prodrug successfully achieved the co-activation of CO and CA-4 in response to H2O2at the tumor site both in vitro and in vivo. Importantly, a synergist effect between CO and CA-4 was observed in suppressing tumor growth in a mouse tumor model. It is anticipated that such a poly-prodrug system could be potentially adapted for the co-delivery of CO and another drug payload for combinational therapy for other indications.

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Electrosynthesis of glyceric acid from glycerol oxidation on Au-CeO2/CNT catalyst

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Journal of Rare Earths 2025年第03期 453-461页

作者： Tao Chen Chaohui Guan Fei Yao xingyue Qi Jing Yu Junfeng Du Liang Lv Hang Wei Haibin Chu Inner Mongolia Key Laboratory of Chemistry and Physics of Rare Earth Materials Inner Mongolia Engineering and Technology Research Center for Catalytic Conversion and Utilization of Carbon Resource MoleculesSchool of Chemistry and Chemical EngineeringInner Mongolia University School of Public Health Inner Mongolia Medical University

Transformation of glycerol into value-added che micals via electro-oxidation using the green electricity is considered as a sustainable and promising ***,the synthesis of specific C3 products such as glyceric acid（GLA） from electro-oxidation of glycerol still suffers from poor catalytic ***,we used a two-step deposition strategy to prepare Au-CeO2/CNT catalyst for highly efficient electrosynthesis of GLA from glycerol oxidation under alkaline *** treating 0.5 mol/L glycerol at 1.12 V（***） for 12 h in 1.0 mol/L KOH solution,the glycerol conversion and GLA selectivity over Au-CeO2/CNT achieve 99.7% and 50.0%,*** glycerol conversion doubles when an optimal amount of CeO2is introduced to the Au/CNT catalyst,Au-CeO2/CNT provides numerous active sites at ternary junctions of Au-CeO2-CNT,which effectively suppress the adsorption of GLA on the surface of Au nanoparticles and prevent the nanoparticles from serious agglomeration,thereby facilitate the glycerol-to-GLA conversion with considerable *** study provides valuable insight into the rational design of high-performance catalysts for alcohol electro-oxidation.

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以新质生产力促进西藏低空经济高质量发展的策略研究

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西藏发展论坛 2024年第3期 57-61页

作者：肖星月谢春生孙惠君黄保全杨洋西藏自治区发展和改革委员会航空事业发展处中国民航大学空中交通管理学院首都机场集团有限公司大兴机场中土集团福州勘察设计研究院有限公司建筑所中国土木工程集团有限公司

新质生产力是创新起主导作用,摆脱传统经济增长方式、生产力发展路径,具有高科技、高效能、高质量特征,符合新发展理念的先进生产力质态。本文从新质生产力核心内涵及其对高质量发展的现实意义为出发点,结合低空经济作为新兴产业所呈现... 详细信息

新质生产力是创新起主导作用,摆脱传统经济增长方式、生产力发展路径,具有高科技、高效能、高质量特征,符合新发展理念的先进生产力质态。本文从新质生产力核心内涵及其对高质量发展的现实意义为出发点,结合低空经济作为新兴产业所呈现的典型特征,分析新质生产力与低空经济之间的关系和内在联系。立足西藏自治区低空经济发展的实际情况,客观评价低空产业发展现状,深入剖析存在的难点问题,灵活运用新质生产力的方法论,从强化科技创新、促进产业融合、加强要素供给等方面,提出针对西藏的低空经济高高原发展策略,推动实现低空产业的高质量发展。

关键词：新质生产力西藏自治区低空经济高高原发展策略

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行政诉讼中大数据证据审查的困境与出路

武陵学刊 2025年第1期50卷 93-102页

作者：郭倩阳星月上海海洋大学海洋生物资源与管理学院上海201306

行政诉讼实践中,大数据证据审查具有种类定位不一、审查强度有别和真实性争议大的特点。这折射了其所面临的三重困境,一是由新兴证据与封闭证据种类规则的不适应造成的种类定位难,二是由复审性要求与审查强度规则的不匹配造成的审查强... 详细信息

行政诉讼实践中,大数据证据审查具有种类定位不一、审查强度有别和真实性争议大的特点。这折射了其所面临的三重困境,一是由新兴证据与封闭证据种类规则的不适应造成的种类定位难,二是由复审性要求与审查强度规则的不匹配造成的审查强度不当,三是技术或然性与真实性审查规则的不兼容造成的真实性审查难。未来有必要以证据方法逐渐取代证据种类,以比例原则为依据构建审查强度规则,并从数据和算法维度构建不同强度的真实性审查规则。

关键词：行政诉讼大数据证据证据方法审查强度真实性审查

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融合注意力与时空图卷积网络的交通流量预测

昆明理工大学学报(自然科学版) 2025年第1期50卷 178-185页

作者：唐继强张远琼邹兴悦邱凌重庆理工大学计算机科学与技术学院重庆400054 重庆市轨道交通(集团)有限公司重庆401120

交通流量预测是交通领域的重要研究课题,虽然深度学习在实践中展现出良好的预测效果,但现有方法尚未充分考虑交通数据的时空依赖性.为解决这一问题,提出了一种融合多种注意力与时空图卷积网络(HASTGCN)模型.该模型由若干个ST Block组成... 详细信息

交通流量预测是交通领域的重要研究课题,虽然深度学习在实践中展现出良好的预测效果,但现有方法尚未充分考虑交通数据的时空依赖性.为解决这一问题,提出了一种融合多种注意力与时空图卷积网络(HASTGCN)模型.该模型由若干个ST Block组成,每个模块由注意力机制层和时空图卷积层构成.注意力机制层捕获交通数据的动态时空相关性,时空图卷积层捕获空间模式和时间特征.在PEMS公开数据集上进行实验,大量实验结果表明,HASTGCN模型的预测性能明显优于此前提出的方法,提升了交通流量预测的准确性和可靠性.

关键词：交通流量预测注意力 GCN 时空相关性

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细粒沉积岩优质储集层发育主控因素分析:以渤海湾盆地沾化凹陷为例

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古地理学报 2025年第1期27卷 55-71页

作者：林兴悦朱筱敏王晓琳张美洲中国石油大学(北京)油气资源与探测国家重点实验室北京102249 中国石油大学(北京)地球科学学院北京102249

为了深化对湖相细粒沉积岩储集层的认识,以渤海湾盆地济阳坳陷沾化凹陷渤南洼陷沙三下亚段(Es3L)为研究对象,利用岩心描述、薄片鉴定、扫描电镜观察、物性分析和测井曲线,揭示了储集层特征、分布规律及其主控因素。基于矿物组成、沉积... 详细信息

为了深化对湖相细粒沉积岩储集层的认识,以渤海湾盆地济阳坳陷沾化凹陷渤南洼陷沙三下亚段(Es3L)为研究对象,利用岩心描述、薄片鉴定、扫描电镜观察、物性分析和测井曲线,揭示了储集层特征、分布规律及其主控因素。基于矿物组成、沉积构造和有机质含量,将渤南洼陷Es3L细粒沉积岩划分为6类岩相:富有机质纹层状灰质细粒混积岩(LF1)、富有机质纹层状长英质细粒碳酸盐岩(LF2)、富有机质层状灰质细粒混积岩(LF3)、富有机质层状/块状长英质细粒碳酸盐岩(LF4)、富有机质层状含长英细粒碳酸盐岩(LF5)、含有机质块状含长英细粒碳酸盐岩(LF6)。储集层的主要储集空间为粒间孔、晶间孔、溶蚀孔和层间微裂缝,储集层孔隙度主要介于0.67%~5.56%之间(平均值为4.93%),渗透率主要介于(0.02~4.87)×10^(-3)μm^(2)之间(平均值为0.59×10^(-3)μm^(2))。渤南洼陷Es3L细粒沉积岩储集层分布的主控因素包括岩相、沉积环境、成岩作用和有机质热演化。渤南洼陷Es3L的中下部的陆源输入水平低、水体盐度大、水体分层性强,主要发育岩相LF2和LF4,容易发育Ⅰ类和Ⅱ类优质储集层。渤南洼陷Es3L细粒沉积岩储集层处于中成岩A阶段,黏土矿物转化作用、溶蚀作用、重结晶和白云石化以及有机质热演化产生次生孔缝,改善了储集层物性。

关键词：渤南洼陷沙三下亚段湖相细粒沉积岩优质储集层主控因素分布规律

Spatial variability of summer and autumn phytoplankton community structure in Xiamen Western Bay based on pigment analysis

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Acta Oceanologica Sinica 2012年第5期31卷 165-175页

作者： HE Xuejia PENG xingyue Research Center for Harmful Algae and Marine Biology Jinan UniversityGuangzhou 510632China School of Life Sciences Xiamen UniversityXiamen 361005China

The spatial variations of phytoplankton community structure in the Xiamen Western Bay during the summer and autumn cruises in 2001 were investigated based on HPLC analysis of photosynthetic pigments in algal cells and CHEMTAX processing of pigment data. The Chl a concentration reached 18.9 μg/L in the summer and declined to 0.28–2.17 in the autumn, respectively, consistent with the observation of diatom blooms in June. Among the accessory pigments, fucoxanthin was consistently the most abundant, ranging from 0.172 to 8.46 μg/L, with the maximum concentrations in June. 19’- hexfucoxanthin and alloxanthin were the other two abundant pigments in the summer and autumn. In addition, 19’-butanoyloxyfucoxanthin or peridinin was also important in late autumn. Generally the biomass of all the phytoplankton or each group was higher in the inner part than the mouth of this bay, represented by Chl a. CHEMTAX processing revealed the dominance of diatoms with their contribution of 14.6%–52.5% to the total Chl a, but its importance decreased in the autumn. Cryptophytes and Haptophytes, with an average contribution of 16.9%–31.4% and 12.1%–26.3%, were the other two important groups, especially in the autumn. On the contrary, Dinoflagellates and Chlorophytes were the minor groups, but the former became important sporadically in the autumn. It was suggested that there was distinctive variation in both the phytoplankton community structure and biomass between summer and autumn in the Xiamen Western Bay and the latter was coupled to the changes in temperature and dissolved oxygen. However, the spatial variation of the phytoplankton community structure was not as clear as the trend in the biomass of phytoplankton among all the sites in this bay.

关键词： phytoplankton pigment Xiamen Western Bay

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四甲基二丙烯三胺的制备及其应用研究进展

化学世界 2024年第2期65卷 76-82页

作者：孙逸帆姚羽佳肖兴玥张媛媛黄旭娟闫鑫焱蔡照胜盐城工学院化学化工学院江苏盐城224051

四甲基二丙烯三胺(TMBPA)为一种具有仲胺和叔胺结构的线性多胺,在精细化学品的制备中有广泛的应用。介绍了TMBPA的典型制备方法及其在聚氨酯和环氧树脂材料、表面活性剂、基因转染材料、气体吸附与分离材料等领域的应用,分析了制备TMBP... 详细信息

四甲基二丙烯三胺(TMBPA)为一种具有仲胺和叔胺结构的线性多胺,在精细化学品的制备中有广泛的应用。介绍了TMBPA的典型制备方法及其在聚氨酯和环氧树脂材料、表面活性剂、基因转染材料、气体吸附与分离材料等领域的应用,分析了制备TMBPA的重点研究方向。

关键词：四甲基二丙烯三胺制备应用开发精细化学品