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基于DBSCAN和改进ConvLSTM的空间负荷预测方法
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作者 肖白 孙旭 +4 位作者 张大弛 辛昊阔 姚狄 孔译辉 张晓华 《电力自动化设备》 北大核心 2026年第2期169-175,共7页
Ⅰ类元胞的形状和大小会随着电网的发展而改变,给空间负荷预测带来不利影响,且现有预测模型未充分挖掘不同空间分布的Ⅱ类元胞之间潜在的相互作用关系。为此,提出一种利用基于密度的带有噪声的空间聚类(DBSCAN)算法和改进的卷积长短时... Ⅰ类元胞的形状和大小会随着电网的发展而改变,给空间负荷预测带来不利影响,且现有预测模型未充分挖掘不同空间分布的Ⅱ类元胞之间潜在的相互作用关系。为此,提出一种利用基于密度的带有噪声的空间聚类(DBSCAN)算法和改进的卷积长短时记忆神经网络(ConvLSTM)进行空间负荷预测的方法。通过DBSCAN分析历史Ⅰ类元胞负荷的异常数据特征,将密度较低且相对孤立作为数据集中异常值的剔除准则;在确定Ⅰ类元胞负荷的合理最大值后,利用网格化技术计算Ⅱ类元胞负荷的准实测值;改进ConvLSTM并构建空间负荷预测模型,该模型通过卷积操作改进门控机制层,选用能保留负荷数据特征的激活函数改进状态更新层,并选用强化学习过程的激活函数改进数据输出层;训练确定模型参数并实现SLF。算例分析验证了所提方法在实际应用中的有效性。 展开更多
关键词 空间负荷预测 DBSCAN convlstm 时空预测 元胞 地理信息系统
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结合注意力机制的ConvLSTM与新安江模型相融合的混合水文模型
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作者 张珂 刘杰 +2 位作者 王宇昊 申笑萱 齐千嘉 《水资源保护》 北大核心 2026年第1期137-143,151,共8页
为提高新安江模型(XAJ)在中小流域汇流计算中的精度,构建了结合注意力机制的卷积长短期记忆神经网络(ConvLSTM),用于替代XAJ中的汇流模块,从而建立了结合物理机制与机器学习技术的混合水文模型XAJ-ACL,基于呈村流域实测数据,探究了XAJ-... 为提高新安江模型(XAJ)在中小流域汇流计算中的精度,构建了结合注意力机制的卷积长短期记忆神经网络(ConvLSTM),用于替代XAJ中的汇流模块,从而建立了结合物理机制与机器学习技术的混合水文模型XAJ-ACL,基于呈村流域实测数据,探究了XAJ-ACL在中小流域有限样本容量条件下的性能,并分别采用ConvLSTM和传统LSTM替代XAJ汇流模块,构建了混合水文模型XAJ-CL和XAJ-LSTM进行对比分析。结果表明:在呈村流域径流模拟中,XAJ-ACL的模拟精度优于XAJ,测试期XAJ-ACL的纳什效率系数为0.85,相关系数为0.93,均高于XAJ;在3组小容量样本训练中,测试期XAJ-ACL的平均纳什效率系数分别为0.847、0.832和0.808,均高于XAJ-CL和XAJ-LSTM,且模拟结果表现出更好的稳定性;与XAJ相比,XAJ-ACL显著提升了有限资料条件下对中小流域汇流过程非线性规律的模拟能力。 展开更多
关键词 新安江模型 注意力机制 卷积长短期记忆神经网络 混合水文模型 汇流过程 径流模拟 呈村流域
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基于SA-ConvLSTM的电离层总电子含量时空预测
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作者 肖健 刘海军 +5 位作者 乐会军 周锐 马艳 袁静 单维锋 袁国铭 《地球物理学报》 北大核心 2026年第3期957-970,共14页
现有的电离层总电子含量(Total Electron Content,TEC)时空预测模型主要以堆叠ConvLSTM单元及其变体为主.这种依赖于ConvLSTM的TEC时空预测模型在捕捉局部时空依赖性的时候比较有效.但由于缺乏存储长距离空间记忆的单元,致使长距离的TE... 现有的电离层总电子含量(Total Electron Content,TEC)时空预测模型主要以堆叠ConvLSTM单元及其变体为主.这种依赖于ConvLSTM的TEC时空预测模型在捕捉局部时空依赖性的时候比较有效.但由于缺乏存储长距离空间记忆的单元,致使长距离的TEC空间特征依赖难以被ConvLSTM及其变体捕捉.为解决该问题,本文提出了一个基于自注意力记忆卷积长短期记忆网络的电离层TEC时空预测模型SA-ConvLSTM,该模型在具有短期记忆依赖的ConvLSTM基础上,增加了具有长距离记忆依赖的自注意力记忆(self-attention memory,SAM)模块,以便在TEC时空预测中同时兼顾短期记忆和长距离记忆.为了验证SA-ConvLSTM的性能,本文在12.5°S—87.5°N,25°E—180°E区域内选择3年太阳活动高年和3年太阳活动低年的TEC网格数据,在该数据上,将SA-ConvLSTM与目前主流的TEC时空预测模型ConvGRU、ConvLSTM、PredRNN、Residual Attention-BiConvLSTM及CODE提供的电离层预测产品C1PG进行了对比.结果表明,与C1PG、ConvGRU、ConvLSTM、PredRNN和Residual Attention-BiConvLSTM相比,SA-ConvLSTM的RMSE在太阳活动高年分别降低了6.58%、3.89%、5.79%、1.44%、1.21%;在太阳活动低年分别降低了13.42%、10.26%、11.40%、3.20%、4.37%.此外,本文还在不同月份和纬度区域情况下进行了对比,结果表明,在绝大多数月份和绝大多数纬度区域内,SA-ConvLSTM的预测性能更好.最后本文选取了两次磁暴事件来验证SA-ConvLSTM在极端情况下的预测能力.结果表明,SA-ConvLSTM在磁暴的大多数阶段均优于对比模型. 展开更多
关键词 电离层总电子含量 自注意力记忆 SA-convlstm 太阳活动高年 太阳活动低年
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基于XGBoost-ConvLSTM喀斯特流域农业干旱及重心迁移预测——以贵州省为例
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作者 郭站群 贺中华 +2 位作者 余欢 杨玉华 谭红梅 《水土保持研究》 北大核心 2026年第2期196-205,共10页
[目的]提高贵州省农业干旱的预测精度,以应对气候变化背景下日益加剧的干旱风险。[方法]基于1979—2023年贵州省标准化降水蒸散发指数(SPEI3)历史数据,构建了极度梯度提升树(XGBoost)和长短期记忆网络(LSTM)模型,并首次提出XGBoost-Conv... [目的]提高贵州省农业干旱的预测精度,以应对气候变化背景下日益加剧的干旱风险。[方法]基于1979—2023年贵州省标准化降水蒸散发指数(SPEI3)历史数据,构建了极度梯度提升树(XGBoost)和长短期记忆网络(LSTM)模型,并首次提出XGBoost-ConvLSTM混合模型,该模型融合了XGBoost、卷积神经网络(CNN)与LSTM,以更精准地捕捉干旱的时空特征。使用K值聚类结合泰森多边形将贵州省84个气象站点月均降雨进行了面积计算和子区域的划分,以评估各模型在3个子区域中农业干旱预警中的应用潜力。[结果](1)XGBoost-ConvLSTM模型在子区域Ⅰ,Ⅱ,Ⅲ的预测R^(2)分别为0.916,0.877,0.901,均优于XGBoost(0.760,0.853,0.735)和LSTM(0.760,0.778,0.710)。(2)贵州省未来30年农业干旱呈现显著的时空变化特征,2024—2026年为干旱高发期,尤其2024年干旱最为严重;2030年后干旱状况有所缓解。(3)通过重心模型对贵州省未来10年内的干旱重心迁移进行时空分析。研究表明贵州省干旱重心呈现阶段性和突变性的时空迁移特征,整体上由中南部逐步向北扩张。[结论]XGBoostConvLSTM用于贵州省的农业干旱预测,表现更优。贵州省农业干旱具有明显的阶段性与区域迁移特征,干旱过程呈现出复杂的时空耦合规律。XGBoost-ConvLSTM模型能够有效揭示这一规律,相较传统方法在刻画农业干旱动态方面更具优势。 展开更多
关键词 农业干旱 XGBoost-convlstm 重心迁移
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基于混合双向DB-DWConvLSTM的工业视频摘要方案
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作者 滕晓宇 朱頔 +4 位作者 王刚 桂小林 张清 贾新会 王志通 《微电子学与计算机》 2026年第2期172-182,共11页
针对现有视频摘要算法以及摘要评价方法未能充分考虑工业智能终端所感知的视频数据特点以及工业智能感知相关应用需求,改写了代表性与多样性两种评价约束,基于此,结合DWConv(Depthwise Convolution)与ConvLSTM(Convolutional Long Short... 针对现有视频摘要算法以及摘要评价方法未能充分考虑工业智能终端所感知的视频数据特点以及工业智能感知相关应用需求,改写了代表性与多样性两种评价约束,基于此,结合DWConv(Depthwise Convolution)与ConvLSTM(Convolutional Long Short-Term Memory)设计了一种混合双向多层的工业视频摘要方案。该方案由全局粗粒度特征提取、局部细粒度特征提取、反馈更新以及以查询为驱动的特征融合这4部分组成。为应对工业数据高冗余性、感知的视频噪声大等特点,围绕着ConvLSTM与注意力机制搭建全局特征提取模块;为充分提取视频数据的时空特性,结合注意力机制与DB-DWConvLSTM构建局部特征提取模块;针对工业数据具有的周期性与局部稳定性,借助残差网络思想,设计了融合DWConv反馈模块;为了更加凸显关键帧特征,便于更好的筛选关键帧,研究以查询驱动的特征融合模块。为验证方案的有效性与可行性,将该方案在TVSum与SumMe两个数据集上进行分析验证。实验结果表明:该方案在交叉验证、消融实验以及对比分析中都有着较好的性能。 展开更多
关键词 工业视频摘要 注意力机制 DWConv convlstm 摘要评价 工业数据感知
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基于ConvLSTM修正测距的水下节点定位算法
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作者 张瑞 郭瑛 刘鹏 《青岛科技大学学报(自然科学版)》 2026年第1期149-158,共10页
水下传感器网络是实现海洋环境监测智能化的重要手段,受海水物理特性的影响,水声信号的传播速率是非线性且不稳定的,这使得基于水声信号的测距方法不可避免地出现较大的测距误差,为降低测距误差对水声无线传感器网络定位精度的影响,本... 水下传感器网络是实现海洋环境监测智能化的重要手段,受海水物理特性的影响,水声信号的传播速率是非线性且不稳定的,这使得基于水声信号的测距方法不可避免地出现较大的测距误差,为降低测距误差对水声无线传感器网络定位精度的影响,本文提出了一种基于卷积长短期记忆神经网络(ConvLSTM)修正测距的水下定位算法,利用基于ConvLSTM构建的神经网络对海洋环境的历史数据进行特征提取,对水声信号速率进行分层次预测,从而达到减小测距误差的目的。将修正过的测距值代入基于移动信标和已定位节点的迭代定位算法中,可以进一步提高水下未知节点的定位精度。仿真实验结果表明:该算法可以显著降低定位误差,具有较高的定位精度与可行性。 展开更多
关键词 水下定位算法 声速预测 convlstm 水下传感器网络
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基于ConvLSTM的强化学习导航算法性能优化研究
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作者 袁可帅 孙涵 《制造业自动化》 2026年第3期69-75,共7页
针对强化学习在移动机器人导航任务中存在的训练时间长、收敛慢以及在动态环境下成功率较低等问题,提出一种基于卷积长短时记忆网络(ConvLSTM)的强化学习导航性能优化方法。该方法利用ConvLSTM对历史占据图序列进行时空建模,预测未来环... 针对强化学习在移动机器人导航任务中存在的训练时间长、收敛慢以及在动态环境下成功率较低等问题,提出一种基于卷积长短时记忆网络(ConvLSTM)的强化学习导航性能优化方法。该方法利用ConvLSTM对历史占据图序列进行时空建模,预测未来环境的占据变化,并将预测结果转化为风险代价图,通过设计风险引导型奖励函数,使智能体能够提前识别潜在的碰撞区域,实现前瞻性决策。在Gazebo仿真环境中进行的对比实验表明,在相同训练时间内使收敛速度提高约40%,导航成功率在8~10小时训练阶段提升约9%~15%,验证了基于ConvLSTM的动态风险预测在强化学习导航加速中的有效性。该研究为移动机器人在复杂动态场景下的安全高效导航提供了一种可行的工程化方案。 展开更多
关键词 移动机器人 强化学习 convlstm 风险预测 路径规划
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Prediction of the summertime Northwest Pacific subtropical high based on ConvLSTM
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作者 Fei Yang Jing Ma +3 位作者 Hongxia Lan Bin Mu Shijin Yuan Jing-Jia Luo 《Atmospheric and Oceanic Science Letters》 2026年第2期14-19,共6页
The Northwest Pacific subtropical high(NWPSH)significantly affects East Asian weather and climate,rendering the prediction of its intensity and location critically important.This study aims to evaluate the performance... The Northwest Pacific subtropical high(NWPSH)significantly affects East Asian weather and climate,rendering the prediction of its intensity and location critically important.This study aims to evaluate the performance of the Convolutional Long and Short-Term Memory(ConvLSTM)model for predicting the summertime 500 hPa geopotential height and NWPSH intensity and area at a lead time of three months,and to compare it with the dynamical models of the Nanjing University of Information Science and Technology Climate Forecast System(NUIST-CFS1.0)and the Canadian Seasonal to Interannual Prediction System Version 2(CanSIPSv2).The mean latitude-weighted RMSE(RMSE_(w)),anomaly correlation coefficient(ACC),and NWPSH indices are used as evaluation metrics.For both summer mean and monthly prediction,the ConvLSTM model outperforms the two dynamical models in terms of RMSE_(w) and ACC for the 500 hPa geopotential height over the western Pacific region.The correlation coefficients between the NWPSH intensity index predicted by the ConvLSTM model and the observations are higher than those obtained from the two dynamical models.Regarding the NWPSH area index,the ConvLSTM model shows more stable performance.Particularly in August,the improvement of the ConvLSTM model compared to the two dynamical models is more significant,indicating the robust capability in capturing late-summer circulation patterns.Therefore,the ConvLSTM model demonstrates significant potential for summer NWPSH prediction,offering a new perspective and approach for climate prediction in this region. 展开更多
关键词 convlstm Northwest Pacific subtropical high Deep learning Climate prediction
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Lifespan Estimates of Solutions to the Tricomi Equation with Memory Terms
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作者 YANG Jie YAO Jiangyan 《应用数学》 北大核心 2026年第2期605-623,共19页
The main purpose of this paper is to investigate the singularities of solutions to the single Tricomi equation with derivative term and combined memory term.In addition,the blow-up of the solution to the weakly couple... The main purpose of this paper is to investigate the singularities of solutions to the single Tricomi equation with derivative term and combined memory term.In addition,the blow-up of the solution to the weakly coupled system with memory term is also considered,where one is a power nonlinear term and the other is a derivative nonlinear term.Upper bound lifespan estimates of solution are obtained in the sub-critical by utilizing the test function method and iteration technique.The innovation of this paper focuses on the lifespan estimates of the solutions,which extends the well-known Strauss and Glassey conjectures. 展开更多
关键词 Tricomi equation memory term Semilinear weakly coupled system Test function method Iteration method
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The multilayered identity of B cell memory
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作者 Vassilis Glaros Nimmy Francis Taras Kreslavsky 《Cellular & Molecular Immunology》 2026年第2期150-167,共18页
The distinctive feature of the adaptive immune system is its ability to generate immunological memory that can provide defense against subsequent infections.In the case of antibody-mediated immune responses,this memor... The distinctive feature of the adaptive immune system is its ability to generate immunological memory that can provide defense against subsequent infections.In the case of antibody-mediated immune responses,this memory comes in two cellular forms:plasma cells(PCs)and memory B cells(MBCs).PCs protect against reinfection by constitutively producing antibodies.The presence of a diverse pool of MBCs,which can expand and differentiate into PCs in secondary immune responses,is thought to be particularly important for defense against new pathogen variants.Recent studies have shown that the MBC compartment is far more heterogeneous than previously anticipated.This heterogeneity,among other factors,is shaped by their developmental pathway(germinal center(GC)vs non-GC-derived MBCs),the duration and strength of antigenic stimulation,anatomical and microanatomical localization,and the timing of generation in ontogeny.Combinations of these“layers”of MBC identities can define MBCs’properties and their fate in recall responses.Here,we review the mechanisms underlying MBC differentiation,maintenance,and reactivation and explore how the layered identity of MBCs contributes to the functions of these cells. 展开更多
关键词 B cell memory Humoral immune response Tissue-resident memory B cells
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Role of 5-hydroxytryptamine type 3 receptors in aerobic exercise-induced improvement of memory and hippocampal synaptic plasticity
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作者 Xiaoqian He Ziying Lai +6 位作者 Xueyan Wang Jingjing Li Guangbing Duan Junwen Wang Zhao Qin Shuchang Xu Ying Huang 《Neural Regeneration Research》 2026年第8期3641-3649,共9页
Aerobic exercise facilitates synaptic plasticity,thereby improving cognitive functions such as learning and memory.The 5-hydroxytryptamine system has been indicated in these processes.5-Hydroxytryptamine type 3 recept... Aerobic exercise facilitates synaptic plasticity,thereby improving cognitive functions such as learning and memory.The 5-hydroxytryptamine system has been indicated in these processes.5-Hydroxytryptamine type 3 receptors are necessary for exercise-induced hippocampal neurogenesis.Some antipsychotic drugs with 5-hydroxytryptamine type 3 receptor antagonistic properties may impede the amelioration of cognitive impairment and hippocampal plasticity induced by exercise.However,the mechanisms underlying the facilitation of synaptic plasticity by aerobic exercise have not yet been elucidated.In this study,we found that 5-hydroxytryptamine type 3 receptors played an important role in aerobic exercise-mediated improvement of hippocampal-dependent spatial and exploratory memory in mice.While 5-hydroxytryptamine type 3 receptors did not affect baseline neurogenesis in the hippocampal dentate gyrus,5-hydroxytryptamine type 3 receptors were required for aerobic exercise-induced neurogenesis and astrocyte proliferation in this region.In addition,5-hydroxytryptamine type 3 receptors were crucial for maintaining long-term potentiation in the CA1,dentate gyrus,and CA3 regions of the hippocampus.The long-term potentiation changes induced by aerobic exercise in sub-regions of the hippocampus were heterogeneous:5-hydroxytryptamine type 3 receptors were essential for aerobic exercise to enhance long-term potentiation in the CA3,but not the CA1 or dentate gyrus,regions of the hippocampus.Furthermore,aerobic exercise up-regulated 5-hydroxytryptamine type 3 receptor expression and increased brain-derived neurotrophic factor release in the hippocampus in a 5-hydroxytryptamine type 3 receptor-dependent manner.These results suggest that aerobic exercise increases hippocampal dentate gyrus neurogenesis and astrocyte proliferation via the up-regulation of 5-hydroxytryptamine type 3 receptors,leading to more brain-derived neurotrophic factor production and release from these cells,which results in long-term potentiation facilitation in the hippocampal CA3 region and help improve memory.Our findings provide insight into the mechanisms by which physical activity enhances memory and may have implications for improving memory through modulating 5-hydroxytryptamine type 3 receptor. 展开更多
关键词 5-HYDROXYTRYPTAMINE 5-hydroxytryptamine type 3 receptor aerobic exercise brain-derived neurotrophic factor exploratory memory hippocampus long-term potentiation NEUROGENESIS neuroglia proliferation spatial memory
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Lignin-derived High-performance Near-infrared Light-responsive Shape Memory Polyurethanes for Biomedical Applications
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作者 Su-Yang Dai Jia-Yue Li +5 位作者 Ling-Chen Mao Dan-Hua Zhou Yu Zhang Zhi-Hua Gana Zhen-Bo Ning Yun-Feng Lu 《Chinese Journal of Polymer Science》 2026年第4期1090-1101,I0016,共13页
Near-infrared(NIR)light-responsive shape memory polymers(SMPs)show great promise for biomedical applications,but conventional photothermal agents suffer from high cost,complex preparation,or poor biocompatibility,whil... Near-infrared(NIR)light-responsive shape memory polymers(SMPs)show great promise for biomedical applications,but conventional photothermal agents suffer from high cost,complex preparation,or poor biocompatibility,while lignin-based alternatives exhibit insufficient photothermal conversion efficiency.Herein,we developed a novel strategy to enhance photothermal performance of lignin through sequential demethylation modification and Fe^(3+)complexation for constructing NIR light responsive SMPs.Dealkaline lignin(DL)was first demethylated using iodocyclohexane to produce demethylated lignin(DDL)with increased catechol content,which was then incorporated into polycaprolactone-based polyurethane synthesis followed by Fe^(3+)complexation.Results showed that DDL-Fe^(3+)complexes have significantly enhanced photothermal conversion performance,and the resulting PU-DDL+Fe^(3+)polyurethane with 0.5 wt%DDL content demonstrated a temperature increases of 39.8℃under 0.33 W·cm-2808 nm NIR irradiation.This excellent photothermal performance enables the shape-fixed PU-DDL+Fe^(3+)polyurethane to rapidly recover to its initial shape under NIR light irradiation.Additionally,PU-DDL+Fe^(3+)polyurethane exhibits good mechanical properties and biocompatibility,demonstrating significant biomedical application potential. 展开更多
关键词 LIGNIN POLYURETHANE Shape memory polymers NIR light responsive POLYCAPROLACTONE
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Uniform Attractors for the Kirchhoff Type Suspension Bridge Equation with Nonlinear Damping and Memory Term
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作者 Ling XU Yanni WANG 《Journal of Mathematical Research with Applications》 2026年第1期71-86,共16页
The goal of this paper is to investigate the long-time dynamics of solutions to a Kirchhoff type suspension bridge equation with nonlinear damping and memory term.For this problem we establish the well-posedness and e... The goal of this paper is to investigate the long-time dynamics of solutions to a Kirchhoff type suspension bridge equation with nonlinear damping and memory term.For this problem we establish the well-posedness and existence of uniform attractor under some suitable assumptions on the nonlinear term g(u),the nonlinear damping f(u_(t))and the external force h(x,t).Specifically,the asymptotic compactness of the semigroup is verified by the energy reconstruction method. 展开更多
关键词 uniform attractor Kirchhoff type suspension bridge equation nonlinear damping memory term
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Restoration of Extrasynaptic/Synaptic GABA_(A)R-α5 Localization Improves Sevoflurane-Induced Early Memory Impairment in Aged Mice
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作者 Mengxue Zhang Xiaokun Wang +5 位作者 Zhun Wang Jinpeng Dong Sixuan Wang Ying Dong Changyu Jiang Yiqing Yin 《Neuroscience Bulletin》 2026年第2期301-318,共18页
GABA_(A) receptors containingα5-subunits(GABA_(A)R-α5)cluster at both extrasynaptic and synaptic locations,interacting with the scaffold proteins radixin and gephyrin,respectively,and the re-localization of GABA_(A... GABA_(A) receptors containingα5-subunits(GABA_(A)R-α5)cluster at both extrasynaptic and synaptic locations,interacting with the scaffold proteins radixin and gephyrin,respectively,and the re-localization of GABA_(A)R-α5 influences GABAergic transmission.Here,we found that when early spatial memory deficits occurred in aged mice at 24 h after sevoflurane anesthesia,there was a re-localization of GABA_(A)R-α5 that enhanced tonic inhibition and reduced the decay kinetics of miniature inhibitory postsynaptic currents in the hippocampal CA1 region.Mechanistically,increased phosphorylation of radixin at threonine 564(Thr564)mediates the re-localization of GABA_(A)R-α5.Acute treatment with the selective extrasynaptic GABA_(A)R-α5 antagonist S44819 restored the GABA_(A)R-α5-mediated inhibitory currents by reversing radixin phosphorylation-dependent GABA_(A)R-α5 re-localization,then improved the sevoflurane-induced spatial memory impairment in aged mice.Our results suggest that the localization of GABA_(A)R-α5 altered by sevoflurane is linked to unbalanced GABAergic transmission,which induces early memory impairment in aged mice.Modulating the GABA_(A)R-α5 localization might be a novel strategy to improve memory after sevoflurane exposure. 展开更多
关键词 Aging SEVOFLURANE memory GABA_(A)R-α5 HIPPOCAMPUS
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Oxide Semiconductor for Advanced Memory Architectures:Atomic Layer Deposition,Key Requirement and Challenges
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作者 Chi‑Hoon Lee Seong‑Hwan Ryu +3 位作者 Taewon Hwang Sang‑Hyun Kim Yoon‑Seo Kim Jin‑Seong Park 《Nano-Micro Letters》 2026年第6期80-124,共45页
Oxide semiconductors(OSs),introduced by the Hosono group in the early 2000s,have evolved from display backplane materials to promising candidates for advanced memory and logic devices.The exceptionally low leakage cur... Oxide semiconductors(OSs),introduced by the Hosono group in the early 2000s,have evolved from display backplane materials to promising candidates for advanced memory and logic devices.The exceptionally low leakage current of OSs and compatibility with three-dimensional(3D)architectures have recently sparked renewed interest in their use in semiconductor applications.This review begins by exploring the unique material properties of OSs,which fundamentally originate from their distinct electronic band structure.Subsequently,we focus on atomic layer deposition(ALD),a core technique for growing excellent OS films,covering both basic and advanced processes compatible with 3D scaling.The basic surface reaction mechanisms—adsorption and reaction—and their roles in film growth are introduced.Furthermore,material design strategies,such as cation selection,crystallinity control,anion doping,and heterostructure engineering,are discussed.We also highlight challenges in memory applications,including contact resistance,hydrogen instability,and lack of p-type materials,and discuss the feasibility of ALD-grown OSs as potential solutions.Lastly,we provide an outlook on the role of ALD-grown OSs in memory technologies.This review bridges material fundamentals and device-level requirements,offering a comprehensive perspective on the potential of ALD-driven OSs for next-generation semiconductor memory devices. 展开更多
关键词 Oxide semiconductor(OS) Atomic layer deposition(ALD) memory applications
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Real-time decision support for bolter recovery safety:Long short-term memory network-driven aircraft sequencing
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作者 Wei Han Changjiu Li +4 位作者 Xichao Su Yong Zhang Fang Guo Tongtong Yu Xuan Li 《Defence Technology(防务技术)》 2026年第2期184-205,共22页
The highly dynamic nature,strong uncertainty,and coupled multiple safety constraints inherent in carrier aircraft recovery operations pose severe challenges for real-time decision-making.Addressing bolter scenarios,th... The highly dynamic nature,strong uncertainty,and coupled multiple safety constraints inherent in carrier aircraft recovery operations pose severe challenges for real-time decision-making.Addressing bolter scenarios,this study proposes an intelligent decision-making framework based on a deep long short-term memory Q-network.This framework transforms the real-time sequencing for bolter recovery problem into a partially observable Markov decision process.It employs a stacked long shortterm memory network to accurately capture the long-range temporal dependencies of bolter event chains and fuel consumption.Furthermore,it integrates a prioritized experience replay training mechanism to construct a safe and adaptive scheduling system capable of millisecond-level real-time decision-making.Experimental demonstrates that,within large-scale mass recovery scenarios,the framework achieves zero safety violations in static environments and maintains a fuel safety violation rate below 10%in dynamic scenarios,with single-step decision times at the millisecond level.The model exhibits strong generalization capability,effectively responding to unforeseen emergent situations—such as multiple bolters and fuel emergencies—without requiring retraining.This provides robust support for efficient carrier-based aircraft recovery operations. 展开更多
关键词 Carrier-based aircraft Recovery scheduling Deep reinforcement learning Long short-term memory networks Dynamic real-time decision-making
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4D printing of reprocessable thiocyanate covalent adaptable networks with reconfigurable shape memory ability
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作者 Ting Xu Kexiang Chen +7 位作者 Zhiyuan He Chuanzhen Zhang Xiaoyu Li Ziyan Zhang Wenbo Fan Zhishen Ge Chenhui Cui Yanfeng Zhang 《Chinese Chemical Letters》 2026年第2期505-511,共7页
Shape memory polymers used in 4D printing only had one permanent shape after molding,which limited their applications in requiring multiple reconstructions and multifunctional shapes.Furthermore,the inherent stability... Shape memory polymers used in 4D printing only had one permanent shape after molding,which limited their applications in requiring multiple reconstructions and multifunctional shapes.Furthermore,the inherent stability of the triazine ring structure within cyanate ester(CE)crosslinked networks after molding posed significant challenges for both recycling,repairing,and degradation of resin.To address these obstacles,dynamic thiocyanate ester(TCE)bonds and photocurable group were incorporated into CE,obtaining the recyclable and 3D printable CE covalent adaptable networks(CANs),denoted as PTCE1.5.This material exhibits a Young's modulus of 810 MPa and a tensile strength of 50.8 MPa.Notably,damaged printed PTCE1.5 objects can be readily repaired through reprinting and interface rejoining by thermal treatment.Leveraging the solid-state plasticity,PTCE1.5 also demonstrated attractive shape memory ability and permanent shape reconfigurability,enabling its reconfigurable 4D printing.The printed PTCE1.5 hinges and a main body were assembled into a deployable and retractable satellite model,validating its potential application as a controllable component in the aerospace field.Moreover,printed PTCE1.5 can be fully degraded into thiol-modified intermediate products.Overall,this material not only enriches the application range of CE resin,but also provides a reliable approach to addressing environmental issue. 展开更多
关键词 4D Printing Dynamic thiocyanate ester bonds Covalent adaptable networks Cyanate ester resin Shape memory
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Laser-induced in situ reprogramming of magnetic shape memory composites for adaptive devices
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作者 Qianqian Zhang Rui Li +5 位作者 Yuan Tao Yiyu Chen Yanlei Hu Dong Wu Jiaru Chu Jiawen Li 《International Journal of Extreme Manufacturing》 2026年第1期767-779,共13页
Programmable/reprogrammable magneto-responsive composites(MRCs)are highly desirable for applications in soft robotics,morphable actuators,and biomedical devices due to their capabilities of undergoing reversible,compl... Programmable/reprogrammable magneto-responsive composites(MRCs)are highly desirable for applications in soft robotics,morphable actuators,and biomedical devices due to their capabilities of undergoing reversible,complex,untethered,and rapid deformations.However,current MRC-based devices primarily rely on soft matrices,which revert to their original shapes and cease functioning when external magnetic fields are removed.Moreover,their magnetization programming,deformations,and functioning need to alternate between encoding and actuation platforms,limiting the adaptability and efficiency.Here,we present a reprogrammable magnetic shape-memory composite(RM-SMC)integrating a shape-memory polymer(SMP)skeleton with phase-transition magnetic microcapsules.High-intensity laser melts microcapsules for magnetic realignment under programmed fields,while low-intensity laser softens SMP for structural reconfiguration without compromising integrity.This dual-laser strategy facilitates in situ magnetization programming,shape morphing,and function execution within a single material system.Our innovative approach enables unique applications,including omnidirectional multi-degree-of-freedom actuators that can activate light switches,solar trackers that optimize energy capture,and adaptive impellers that modulate fluid pumping.By eliminating platform alternation and enabling shape/function retention post-actuation,the RM-SMC platform overcomes critical limitations in conventional MRCs,establishing a paradigm for multifunctional devices requiring persistent configuration control and field-independent operation. 展开更多
关键词 magneto-responsive composites shape memory polymer in situ programming and deformation omnidirectional multi-degree of freedom actuator adjustable fluid pumping
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Intelligent Reconfigurable Skyrmion-Based Multi-Port Logic Device for In-Memory Computing
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作者 Fuhao Zou Ziyuan Liu +3 位作者 Zijing Zhao Muhammad Humayun Chundong Wang Xiaolei Wang 《Chinese Physics Letters》 2026年第3期331-345,共15页
New electronic devices based on the physical properties of electrically driven skyrmions are promising for logic computing and nonvolatile memory applications.However,achieving efficient and practical compute-storage ... New electronic devices based on the physical properties of electrically driven skyrmions are promising for logic computing and nonvolatile memory applications.However,achieving efficient and practical compute-storage integration remains challenging owing to the structural complexity,limited functionality,and low flexibility observed in most skyrmion-based devices.In this study,we designed a novel device architecture that integrates seven basic logic gates into a unified physical structure.Their operation can be enabled by physical mechanisms,such as spin-orbit torque,spin-transfer torque,skyrmion-edge repulsions,and skyrmion-skyrmion interactions.Furthermore,by incorporating voltage-controlled magnetic anisotropy,the device achieved multi-input capability and reconfigurability functionality.Ultralow power consumption(<1 fJ/bit per logic function)and extremely high logic density were achieved.Significantly,the compatibility of this nanotrack design with existing skyrmion racetrack memory paves the way for advanced in-memory computing in spintronic architectures. 展开更多
关键词 voltage controlled magnetic anisotropy intelligent reconfigurable skyrmion based multi port logic device memory computing logic computing device architecture spin transfer torque spin orbit torque integrates seven basic logic gates
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基于ConvLSTM的核电温度传感器数据重构研究
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作者 张万洲 刘永阔 +2 位作者 顾阳 刘级 石周鑫 《哈尔滨商业大学学报(自然科学版)》 2026年第2期171-178,214,共9页
卷积长短期记忆网络(Convolutional Long Short-Term Memory,ConvLSTM)能够融合卷积层的空间特征提取能力与长短期记忆网络(Long Short-Term Memory,LSTM)的时间依赖建模优势,因此,逐渐被用来预测系统或者设备的关键参数.数据重构是使... 卷积长短期记忆网络(Convolutional Long Short-Term Memory,ConvLSTM)能够融合卷积层的空间特征提取能力与长短期记忆网络(Long Short-Term Memory,LSTM)的时间依赖建模优势,因此,逐渐被用来预测系统或者设备的关键参数.数据重构是使用已有的可用数据来重构出失效传感器的故障数据的一个过程.应用ConvLSTM模型进行核电过程传感器的数据重构,能帮助操作人员及时准确地获得系统或设备的运行状态信息,避免因失效传感器产生错误的测量数据而做出错误的操作,从而保证系统或设备的正常运行.以福清核电仿真机数据集为实验数据,同时开发传感器故障模型,模拟真实传感器发生故障时的重构流程和结果.与CNN、LSTM和CNN-LSTM模型对比,证明了ConvLSTM模型具有更高的重构精度和适用性. 展开更多
关键词 核电站 传感器 卷积长短期记忆网络 数据重构 特征提取 数据修复
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