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基于全局残差注意力和门控特征融合的CNN-Transformer去雾算法 被引量:2
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作者 李海燕 乔仁超 +1 位作者 李海江 陈泉 《东北大学学报(自然科学版)》 北大核心 2025年第1期26-34,共9页
为解决现有图像去雾算法因缺乏全局上下文信息、处理分布不均匀的雾时效果差且复用细节信息时引入噪声的缺陷,提出了基于全局残差注意力和门控特征融合的CNN-Transformer去雾算法.首先,引入全局残差注意力机制编码模块自适应地提取非均... 为解决现有图像去雾算法因缺乏全局上下文信息、处理分布不均匀的雾时效果差且复用细节信息时引入噪声的缺陷,提出了基于全局残差注意力和门控特征融合的CNN-Transformer去雾算法.首先,引入全局残差注意力机制编码模块自适应地提取非均匀雾区的细节特征,设计跨维度通道空间注意力优化信息权重.然后,提出全局建模Transformer模块加深编码器的特征提取过程,设计带有并行卷积的Swin Transformer捕捉特征之间的依赖关系.最后,设计门控特征融合解码模块复用图像重建所需的纹理信息,滤除不相关的雾噪声,提高去雾性能.在4个公开数据集上进行定性和定量实验,实验结果表明:所提算法能够有效地处理非均匀雾区域,重建纹理细腻且语义丰富的高保真无雾图像,其峰值信噪比和结构相似性指数都优于经典对比算法. 展开更多
关键词 图像去雾 全局残差注意力机制 cnn-transformer架构 门控特征融合 图像重建
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结合CNN-Transformer特征交互的红外与可见光图像融合方法 被引量:1
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作者 张德银 张裕尧 +1 位作者 李俊佟 吴章辉 《红外技术》 北大核心 2025年第7期813-822,共10页
针对CNN与Transformer提取的特征之间交互作用未充分挖掘而导致的融合图像易产生红外特征分布不均匀、轮廓不清晰以及重要背景信息丢失等问题,本文提出了一种新的结合CNN-Transformer特征交互的红外与可见光图像融合网络。首先,新融合... 针对CNN与Transformer提取的特征之间交互作用未充分挖掘而导致的融合图像易产生红外特征分布不均匀、轮廓不清晰以及重要背景信息丢失等问题,本文提出了一种新的结合CNN-Transformer特征交互的红外与可见光图像融合网络。首先,新融合网络设计了新的空间通道混合注意力机制以提升全局及局部特征的提取效率并得到混合特征块;其次,利用CNN-Transformer的特征交互获取融合混合特征块,并构建多尺度重构网络以实现图像特征重构输出;最后,使用TNO数据集将新融合网络与其它9种融合网络进行对比图像融合实验。实验结果表明,新融合网络获得的融合图像在视觉感知方面表现优异,既突出了红外特征和物体轮廓,又保留了丰富的背景纹理细节;网络在EN、SD、AG、SF、SCD以及VIF指标上相较于现有融合网络平均提高约64.73%、8.17%、69.05%、66.34%、15.39%和25.66%。消融实验证明了新模型的有效性。 展开更多
关键词 cnn-transformer特征交互 全局特征 混合注意力 图像融合 局部特征
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一种轻量化CNN-Transformer的苹果叶片病害分类算法
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作者 嵇春梅 周鑫志 叶烨华 《江苏农业科学》 北大核心 2025年第9期216-224,共9页
准确识别苹果叶片病害,对于提高苹果产量和质量具有重要意义。为了解决现有的基于深度学习算法在苹果叶片病害分类识别中精度低、参数量大等问题,提出一种基于轻量化CNN-Transformer的苹果叶片病害分类模型。首先,使用数据增强技术扩充... 准确识别苹果叶片病害,对于提高苹果产量和质量具有重要意义。为了解决现有的基于深度学习算法在苹果叶片病害分类识别中精度低、参数量大等问题,提出一种基于轻量化CNN-Transformer的苹果叶片病害分类模型。首先,使用数据增强技术扩充苹果叶片病害数据集,以提高模型的泛化能力;其次,利用多层卷积操作来提取输入图像的局部特征表示,增强模型对图像细节的敏感性;设计多头局部自注意力机制模块,建立图像中不同区域之间的全局上下文依赖关系,提高模型对图像语义的理解能力;提出随机位置编码,更好地捕捉图像中的空间信息。试验结果显示,本研究模型在苹果叶片病害分类精度、GPU内存使用、分类时间方面的表现优于其他深度学习模型,能够有效识别苹果叶片病害的类型和程度;与单一Transformer模型相比,本研究模型在节约40%内存资源的同时,分类时间降低了55%,精确率、召回率、F_(1)分数分别达到98.2%、97.5%、97.3%。 展开更多
关键词 苹果叶片病害 cnn-transformer 局部自注意力机制 随机位置编码 轻量化
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SEFormer:A Lightweight CNN-Transformer Based on Separable Multiscale Depthwise Convolution and Efficient Self-Attention for Rotating Machinery Fault Diagnosis 被引量:3
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作者 Hongxing Wang Xilai Ju +1 位作者 Hua Zhu Huafeng Li 《Computers, Materials & Continua》 SCIE EI 2025年第1期1417-1437,共21页
Traditional data-driven fault diagnosis methods depend on expert experience to manually extract effective fault features of signals,which has certain limitations.Conversely,deep learning techniques have gained promine... Traditional data-driven fault diagnosis methods depend on expert experience to manually extract effective fault features of signals,which has certain limitations.Conversely,deep learning techniques have gained prominence as a central focus of research in the field of fault diagnosis by strong fault feature extraction ability and end-to-end fault diagnosis efficiency.Recently,utilizing the respective advantages of convolution neural network(CNN)and Transformer in local and global feature extraction,research on cooperating the two have demonstrated promise in the field of fault diagnosis.However,the cross-channel convolution mechanism in CNN and the self-attention calculations in Transformer contribute to excessive complexity in the cooperative model.This complexity results in high computational costs and limited industrial applicability.To tackle the above challenges,this paper proposes a lightweight CNN-Transformer named as SEFormer for rotating machinery fault diagnosis.First,a separable multiscale depthwise convolution block is designed to extract and integrate multiscale feature information from different channel dimensions of vibration signals.Then,an efficient self-attention block is developed to capture critical fine-grained features of the signal from a global perspective.Finally,experimental results on the planetary gearbox dataset and themotor roller bearing dataset prove that the proposed framework can balance the advantages of robustness,generalization and lightweight compared to recent state-of-the-art fault diagnosis models based on CNN and Transformer.This study presents a feasible strategy for developing a lightweight rotating machinery fault diagnosis framework aimed at economical deployment. 展开更多
关键词 cnn-transformer separable multiscale depthwise convolution efficient self-attention fault diagnosis
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结合CNN-Transformer的跨模态透明物体分割 被引量:1
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作者 潘惟兰 张荣芬 +2 位作者 刘宇红 张吉友 孙龙 《计算机工程与应用》 北大核心 2025年第4期222-229,共8页
透明物体具有高透明度、光泽度和特殊质地等视觉特性,这些特性使得物体与背景之间的边界往往模糊不清,导致传统的图像分割算法难以准确识别和分割,因此提出结合CNN-Transformer的跨模态透明物体语义分割算法CTNet。该算法采用CNN和Trans... 透明物体具有高透明度、光泽度和特殊质地等视觉特性,这些特性使得物体与背景之间的边界往往模糊不清,导致传统的图像分割算法难以准确识别和分割,因此提出结合CNN-Transformer的跨模态透明物体语义分割算法CTNet。该算法采用CNN和Transformer混合网络的编码-解码结构跨模态对透明物体类别和位置进行预测,CNN用于提取图像特征,Transformer用于多模态融合(multimodal fusion transformer,MFT);设计边界特征增强注意力模块(enhanced boundary attention module,EBAM),提升图像边缘分割能力;提出多尺度融合解码结构,减少模糊特征。CTNet在RGB-T-Glass数据集上的平均绝对误差(mean absolute error,MAE)为3.3%,交并比(intersection over union,IOU)在包含透明物体和不含透明物体的测试集上分别为90.18%和95.00%;在GDD数据集上,MAE为6.9%,IOU为87.6%。实验结果表明,CTNet利用可见光和热红外图像成功实现了对透明物体的准确分割,满足目标任务中对透明物体分割时的精确性和鲁棒性要求。 展开更多
关键词 cnn-transformer 多模态 透明物体 语义分割 特征融合
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基于CNN-Transformer网络融合时频域的滚动轴承剩余使用寿命预测 被引量:1
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作者 张发振 张清华 +3 位作者 秦宾宾 朱冠华 黄权斯 刘学斌 《机床与液压》 北大核心 2025年第14期7-14,共8页
针对现有深度学习滚动轴承预测方法存在的预测准确度不足、学习长期依赖关系困难以及特征信息表达单一等问题,提出一种基于CNN-Transformer并行网络结合交叉注意力机制融合时域和频域信息的轴承剩余使用寿命预测方法。利用快速傅里叶变... 针对现有深度学习滚动轴承预测方法存在的预测准确度不足、学习长期依赖关系困难以及特征信息表达单一等问题,提出一种基于CNN-Transformer并行网络结合交叉注意力机制融合时域和频域信息的轴承剩余使用寿命预测方法。利用快速傅里叶变换(FFT)提取输入信号的频域特征,使用因果卷积运算提取时频域局部特征,并通过Transformer编码层增强模型对特征的表达能力,最终通过交叉注意力机制融合两种特征。此方法有效利用了时域和频域信息的互补性,显著提升了滚动轴承RUL预测的性能,并在IEEE PHM 2012数据集上进行了验证。结果表明:相比CT、CLSTM、CNN和LSTM预测方法,所提方法的预测结果最优,相邻预测结果的波动性更小。其中,平均绝对误差(MAE)和均方根误差(RMSE)均为最低。在工况1的3号轴承验证中,所提方法的RUL预测MAE值分别比其他4种模型降低了15.0%、20.6%、44.1%和56.4%;在工况2的4号轴承验证中,RUL预测RMSE值分别降低了41.1%、50.9%、72.4%和73.1%,表明所提滚动轴承剩余使用寿命预测方法具有更高的精度。 展开更多
关键词 剩余使用寿命 轴承 因果卷积神经网络 cnn-transformer 交叉注意力
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基于注意力机制的混合CNN-Transformer单幅图像去雨网络
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作者 杨瑞 任嘉璇 +1 位作者 史昕冉 柴国强 《电脑与电信》 2025年第7期1-4,共4页
降雨会导致获取的图像出现细节丢失、纹理模糊等问题,严重影响后续计算机视觉任务的分析和研究。为去除图像中的雨条纹,获得干净的背景图像,提出一种基于注意力机制的混合CNN-Transformer单幅图像去雨网络。首先利用Resnet18的前5层进... 降雨会导致获取的图像出现细节丢失、纹理模糊等问题,严重影响后续计算机视觉任务的分析和研究。为去除图像中的雨条纹,获得干净的背景图像,提出一种基于注意力机制的混合CNN-Transformer单幅图像去雨网络。首先利用Resnet18的前5层进行浅层特征提取,然后利用高低频雨条纹检测模块,分别采用拉普拉斯算子和全局处理器得到高频雨条纹注意力图和低频背景注意力图,生成雨条纹注意力图,促使后续网络对雨条纹重点关注。在传统Transformer结构中加入通道和空间双重注意力,形成改进的混合CNN-Transformer模块以充分提取图像特征,最后通过像素上采样实现特征重构,得到去雨图像。与其他主流去雨方法在公用数据集上的比较结果表明,所提出的网络取得了更好的量化指标与视觉效果,证实本文方法的有效性。 展开更多
关键词 图像去雨 高低频雨条纹检测 混合cnn-transformer
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基于白鲸优化VMD算法和CNN-Transformer的滚动轴承故障诊断研究
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作者 李朝阳 李晓勤 +2 位作者 孙宇乔 李昊 刘书梅 《机械管理开发》 2025年第12期79-82,86,共5页
针对复杂工况下滚动轴承振动信号特征提取困难及诊断精度易受噪声干扰等问题,提出一种白鲸(BWO)优化变分模态分解(VMD)算法和CNN-Transformer相结合的故障诊断方法。采用BWO对VMD中的模态个数K及惩罚因子α进行优化,并对原信号进行分解... 针对复杂工况下滚动轴承振动信号特征提取困难及诊断精度易受噪声干扰等问题,提出一种白鲸(BWO)优化变分模态分解(VMD)算法和CNN-Transformer相结合的故障诊断方法。采用BWO对VMD中的模态个数K及惩罚因子α进行优化,并对原信号进行分解和提取最佳模态分量(IMFs);构建CNN-Transformer双通道特征模型,通过卷积神经网络(CNN)挖掘信号的局部时频特征,并结合Transformer捕捉全局时序依赖关系,实现对多尺度故障特征的有效表征;通过全连接层与Softmax分类器实现精确的故障识别。基于CWRU轴承数据集,将该模型与其他模型相比,其故障识别率达到99.1%以上,为滚动轴承故障诊断提供了具有创新性和可靠性的技术支持。 展开更多
关键词 cnn-transformer 白鲸优化算法 变分模态分解 故障诊断
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基于CNN-Transformer的致密砂岩储层孔隙度参数预测研究
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作者 庞振宇 鲁玉清 +3 位作者 徐颖晋 陈志聪 蔡镇波 彭梦婷 《石油地球物理勘探》 北大核心 2025年第6期1399-1408,共10页
致密砂岩储层评价技术是非常规油气勘探的关键科学问题与技术挑战,其中对致密砂岩储层参数的精确预测尤为关键。传统基于线性或非线性回归的预测方法在表征测井曲线与储层参数之间复杂非线性关系方面存在局限,导致预测精度不足。文中以... 致密砂岩储层评价技术是非常规油气勘探的关键科学问题与技术挑战,其中对致密砂岩储层参数的精确预测尤为关键。传统基于线性或非线性回归的预测方法在表征测井曲线与储层参数之间复杂非线性关系方面存在局限,导致预测精度不足。文中以延长油田甘谷驿采油厂唐157井区长6储层为例,基于测井数据和岩心分析孔隙度数据,开展多源数据融合预处理,创新性地提出了一种融合CNN和Transformer核心优势的新型神经网络架构(CNN-Transformer Network)。通过综合对比RMSE、MAE与R2指标分析CNN-Transformer模型与传统线性回归模型(LR)、TCN-LSTM、GRU与ResNet三种主流模型的预测性能。实验结果表明:CNNTransformer模型的预测精度达到96.7%,显著优于其他对比模型。该模型能够有效捕捉致密砂岩储层中测井曲线与孔隙度之间特有的复杂非线性映射关系,显著提升储层参数预测的准确性,为致密砂岩储层的高效勘探与开发决策提供了可靠的技术支撑。 展开更多
关键词 致密砂岩 储层参数 多源数据融合 深度学习 cnn-transformer
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温度引导的CNN-Transformer红外与可见光图像融合方法
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作者 岩宝 张丽萍 +3 位作者 郝浩博 王颂 汪兵兵 罗德林 《新疆大学学报(自然科学版中英文)》 2025年第2期246-256,共11页
红外与可见光图像轻量化融合是计算机视觉领域研究的一项重要任务,融合模型可部署在边缘设备上实现实时融合.然而,基于CNN的方法仍然存在局限性,轻量化的实现使得模型牺牲了一定程度的融合性能,单调的卷积结构导致融合的泛化能力较低,... 红外与可见光图像轻量化融合是计算机视觉领域研究的一项重要任务,融合模型可部署在边缘设备上实现实时融合.然而,基于CNN的方法仍然存在局限性,轻量化的实现使得模型牺牲了一定程度的融合性能,单调的卷积结构导致融合的泛化能力较低,在某些复杂场景仍然表现出不足.针对以上问题,提出了一种基于温度引导的CNN-Transformer红外与可见光图像融合方法.首先引入像素预增强模块来增强输入图像,同时将Transformer与CNN结合作为特征提取与重建网络的结构,捕获红外与可见光图像之间的关联信息,提高模型的融合效果.在公开数据集及自建变电数据集上将提出的方法与其他11种融合方法进行对比分析,实验结果验证提出的算法显著提高了融合性能. 展开更多
关键词 深度学习 图像融合 红外与可见光图像 cnn-transformer
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基于CNN-Transformer的灰铸铁表面锈蚀等级识别与失效预测
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作者 王棋 《热处理技术与装备》 2025年第6期70-74,共5页
灰铸铁作为工厂机床底座、管道支撑等核心部件的关键制作材料,长期暴露于潮湿环境,易发生锈蚀,进而引发设备失效与安全隐患。针对传统人工检测成本高、精度低及单一模型难以兼顾全局关联与局部细节的问题,提出构建CNN-Transformer联合... 灰铸铁作为工厂机床底座、管道支撑等核心部件的关键制作材料,长期暴露于潮湿环境,易发生锈蚀,进而引发设备失效与安全隐患。针对传统人工检测成本高、精度低及单一模型难以兼顾全局关联与局部细节的问题,提出构建CNN-Transformer联合模型。该模型以Swin Transformer为目标检测骨干,实现灰铸铁部件的快速定位与全局特征提取;结合DeepLabV3+完成锈蚀区域像素级标注与ISO标准等级(A~D级)划分;引入前馈神经网络进行失效预测,分析锈蚀对材料性能的影响。通过模型训练和工程应用验证,CTSCNet能够准确识别锈蚀等级并预测潜在失效风险,为灰铸铁设备维护提供支持。 展开更多
关键词 锈蚀等级识别 cnn-transformer联合模型 失效预测
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Ligand-directed construction of cobalt-oxo cluster-based organic frameworks:Structural modulation,semiconductor,and antiferromagnetic properties
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作者 SHI Jinlian LIU Xiaoru XU Zhongxuan 《无机化学学报》 北大核心 2026年第1期45-54,共10页
Under hydrothermal and solvothermal conditions,two novel cobalt-based complexes,{[Co_(2)(CIA)(OH)(1,4-dtb)]·3.2H_(2)O}n(HU23)and{[Co_(2)(CIA)(OH)(1,4-dib)]·3.5H2O·DMF}n(HU24),were successfully construct... Under hydrothermal and solvothermal conditions,two novel cobalt-based complexes,{[Co_(2)(CIA)(OH)(1,4-dtb)]·3.2H_(2)O}n(HU23)and{[Co_(2)(CIA)(OH)(1,4-dib)]·3.5H2O·DMF}n(HU24),were successfully constructed by coordinatively assembling the semi-rigid multidentate ligand 5-(1-carboxyethoxy)isophthalic acid(H₃CIA)with the Nheterocyclic ligands 1,4-di(4H-1,2,4-triazol-4-yl)benzene(1,4-dtb)and 1,4-di(1H-imidazol-1-yl)benzene(1,4-dib),respectively,around Co^(2+)ions.Single-crystal X-ray diffraction analysis revealed that in both complexes HU23 and HU24,the CIA^(3-)anions adopt aκ^(7)-coordination mode,bridging six Co^(2+)ions via their five carboxylate oxygen atoms and one ether oxygen atom.This linkage forms tetranuclear[Co4(μ3-OH)2]^(6+)units.These Co-oxo cluster units were interconnected by CIA^(3-)anions to assemble into 2D kgd-type structures featuring a 3,6-connected topology.The 2D layers were further connected by 1,4-dtb and 1,4-dib,resulting in 3D pillar-layered frameworks for HU23 and HU24.Notably,despite the similar configurations of 1,4-dtb and 1,4-dib,differences in their coordination spatial orientations lead to topological divergence in the 3D frameworks of HU23 and HU24.Topological analysis indicates that the frameworks of HU23 and HU24 can be simplified into a 3,10-connected net(point symbol:(4^(10).6^(3).8^(2))(4^(3))_(2))and a 3,8-connected tfz-d net(point symbol:(4^(3))_(2)((4^(6).6^(18).8^(4)))),respectively.This structural differentiation confirms the precise regulatory role of ligands on the topology of metal-organic frameworks.Moreover,the ultraviolet-visible absorption spectra confirmed that HU23 and HU24 have strong absorption capabilities for ultraviolet and visible light.According to the Kubelka-Munk method,their bandwidths were 2.15 and 2.08 eV,respectively,which are consistent with those of typical semiconductor materials.Variable-temperature magnetic susceptibility measurements(2-300 K)revealed significant antiferromagnetic coupling in both complexes,with their effective magnetic moments decreasing markedly as the temperature lowered.CCDC:2457554,HU23;2457553,HU24. 展开更多
关键词 semi-rigid carboxylic acid ligands three-dimensional framework tetranuclear cobalt-oxo cluster semiconductor material antiferromagnetic magnetism
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An electrochemical immunosensor based on an antibody-ferrocene-functionalized covalent organic framework
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作者 Qiang Fang Yingbo Lu +3 位作者 Jianying Huang Cheng Zhang Jing Wu Shijun Li 《Chinese Chemical Letters》 2026年第2期401-406,共6页
High-sensitive quantitative determination of alpha-fetoprotein(AFP)is of crucial importance for early clinical diagnosis of cancers.Herein,an AuNPs-free electrochemical immunosensor(Ab1-Fc-COF)was prepared from a carb... High-sensitive quantitative determination of alpha-fetoprotein(AFP)is of crucial importance for early clinical diagnosis of cancers.Herein,an AuNPs-free electrochemical immunosensor(Ab1-Fc-COF)was prepared from a carboxylic group enriched COF by post-functionalization with detecting antibody(Ab1)and ferrocene(Fc),and used for electrochemical detection of AFP.Due to the small,homogeneous pore size of the COF,Ab1 with a big size was immobilized on the surface of the COF,while Fc with a small size was covalently modified both on the surface and in the pores of COF.The covalently immobilized Ab1 was quite stable and beneficial to specifically detect AFP biomarkers.Meanwhile,the enriched Fc molecules not only improved the conductivity of the COF,but also effectively transferred and amplified the electrochemical signal.This proposed immunosensor exhibited high sensitivity in detecting AFP with a detection limit of 0.39 pg/mL(S/N of 3:1)and a wide linear response range spanning from 1 pg/mL to 100 ng/mL when plotted against logarithmic concentrations.Furthermore,this immunosensor showed excellent selectivity,stability and reproducibility in the testing of real samples.This study presents an innovative prototype for construction of a precious metal-free,antibody-directly-immobilized,simple and stable electrochemical immunoprobe. 展开更多
关键词 Covalent organic frameworks Post-functionalization FERROCENE Electrochemical immunosensors ALPHA-FETOPROTEIN
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The Impact of Entrepreneurial Spirit on Firm-Level New Quality Productive Forces:An Empirical Analysis Based on the TOE Framework
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作者 Guo Yanqing Zhang Qiao 《Contemporary Social Sciences》 2026年第1期35-51,共17页
Accelerating the development of new quality productive forces(NQPF),with innovation at its core,has become essential for firm growth in the new era.Drawing on financial data from China's A-share listed companies s... Accelerating the development of new quality productive forces(NQPF),with innovation at its core,has become essential for firm growth in the new era.Drawing on financial data from China's A-share listed companies spanning the period 2010–2023,this study empirically investigates the impact of entrepreneurial spirit on firm-level NQPF.The results indicate that entrepreneurial spirit significantly promotes firm-level NQPF.Mechanism analysis indicates that entrepreneurial effort—underpinned by technological capital accumulation,effective incentive and constraint mechanisms,and a competitive market environment—plays a mediating role in this relationship.Further heterogeneity analysis reveals that,amid China's economic transition,the positive effects of entrepreneurial spirit are more pronounced in non-state-owned enterprises,high-tech firms,and newly established firms.Accordingly,systematic efforts should be pursued across the technological,organizational,and environmental(TOE)dimensions to optimize the cultivation of entrepreneurial spirit.In particular,greater emphasis should be placed on productive entrepreneurial spirit and the constructive role of entrepreneurial effort,so as to fully leverage their contribution to the advancement of firm-level NQPF. 展开更多
关键词 TOE framework entrepreneurial spirit firm-level NQPF entrepreneurial effort
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Interface-directed porous aromatic framework nanoflakes for ultrafast quasi-homogeneous photocatalytic aerobic oxidation in air
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作者 Hengtao Lei Yuhui Zhai +6 位作者 Jian Song Xiaojun Zhao Ayesha Javaid Geng Tan Yuyang Tian Qinhe Pan Guangshan Zhu 《Science China Chemistry》 2026年第2期900-906,共7页
The development of efficient photocatalysts for crucial organic transformation,such as aerobic oxidation,remains challenging.Although powdered porous materials offer abundant accessible active sites,their application ... The development of efficient photocatalysts for crucial organic transformation,such as aerobic oxidation,remains challenging.Although powdered porous materials offer abundant accessible active sites,their application in liquid-phase catalysis is often limited by insufficient light absorption and inevitable charge recombination,which are inherent drawbacks of conventional heterogeneous catalysts.Here,through rational design and nanoscale-engineering of porous aromatic frameworks(PAFs)comprising porphyrin and porous organic cage,a quasi-homogeneous porous photocatalyst with high catalytic activity and controllable dimension was developed.The interface-directed growth in oil-in-water emulsion shaped the morphology of photoactive PAFs from powders to nanoflakes,which facilitated the light absorbance and catalyst-substrate interaction.Compared with PAF powders,PAF nanoflakes exhibited superior photocatalytic activity for aerobic oxidation.For mustard gas simulant(2-chloroethyl ethyl sulfide,CEES),PAF nanoflakes exhibited ultrafast detoxification rates in room air with a half-life(t_(1/2))as fast as 26s,which even exceeded other catalysts in pure oxygen.It also completely catalyzed the aerobic oxidation of thioether within 15 min,which is almost the fastest rate among any reported organic photocatalysts.Furthermore,the efficient catalytic performance under mild conditions caused by improved light enrichment,surface charge transfer and carrier lifetime was elucidated. 展开更多
关键词 porous aromatic framework morphology control nanoflake photocatalysis aerobic oxidation
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Metal-organic frameworks for sustainable recovery of precious metals:Advances in synthesis,applications,and multiscale mechanisms
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作者 Baocheng Zhou Guo Lin +3 位作者 Shixing Wang Tu Hu Yunfei An Libo Zhang 《International Journal of Minerals,Metallurgy and Materials》 2026年第2期417-445,共29页
The recovery of precious metals(PMs)from secondary resources is critical for addressing global supply-chain vulnerabilities and sustainable resource utilization.This review systematically examines the transformative p... The recovery of precious metals(PMs)from secondary resources is critical for addressing global supply-chain vulnerabilities and sustainable resource utilization.This review systematically examines the transformative potential of metal-organic frameworks(MOFs)as next-generation adsorbents for PM recovery,focusing on their synthesis,functionalization,and multiscale adsorption mechanisms.We critically analyze conventional pyrometallurgical and hydrometallurgical methods and highlight their limitations in terms of selectivity,energy consumption,and secondary pollution.In contrast,MOFs offer tunable porosity,abundant active sites,and tunable surface chemistry,enabling efficient PM capture via synergistic physical and chemical adsorption.Advanced modification techniques,including direct synthesis and post-synthetic modification,are reviewed to propose strategies for enhancing the adsorption kinetics and selectivity for Au,Ag,Pt,and Pd.Key structure-property relationships are established through multiscale characterization and thermodynamic models,revealing the critical roles of hierarchical porosity,soft donor atoms,and framework stability.Industrial challenges,such as aqueous stability and scalability,are addressed via Zr-O bond strengthening,hydrophobic functionalization,and support immobilization.This study consolidates the experimental and theoretical advances in MOF-based PM recovery and provides a roadmap for translating laboratory innovations into practical applications within the circular-economy framework. 展开更多
关键词 metal-organic frameworks precious metal recovery FUNCTIONALIZATION ADSORPTION MECHANISMS circular economy
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Polyoxometalate-constructed 2D irregular porous inorganic framework with single-crystal superprotonic conductivity
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作者 Mengnan Yang Shiyan Ji +3 位作者 Lijuan Xiong Pengtao Ma Jingping Wang Jingyang Niu 《Science China Chemistry》 2026年第2期729-736,共8页
This study presents a novel polyoxometalate(POM)constructed crystalline inorganic framework,featuring a 2D layered architecture with irregular porosity and inherent proton sources.This unique configuration establishes... This study presents a novel polyoxometalate(POM)constructed crystalline inorganic framework,featuring a 2D layered architecture with irregular porosity and inherent proton sources.This unique configuration establishes an intrinsic hydrogen bonding network that facilitates proton hopping(Grotthuss mechanism),achieving a[100]directional proton conductivity of 1.75×10^(-3)S cm^(-1)under a low relative humidity(RH)of 35%at 298 K.Notably,under elevated conditions(338 K,95%RH),it attains a superprotonic conductivity of 1.61 S cm^(-1),representing one of the highest values recorded for framework materials to date.Analysis of the molecular structure,pore geometry characteristics and topological connectivity,and water vapor adsorption experiment(offering proton diffusion coefficient),indicates that the exceptional water-mediated proton dynamics stem from the interlayer S-shaped irregular pore channels,which probably induce a siphon-like effect to significantly enhance the transport of hydrated protons under the vehicle mechanism.This work not only proposes a POM strategy for constructing 2D inorganic frameworks but also reveals the irregular pore channel-enhanced proton dynamics,providing new insights into the optimization of proton conductors. 展开更多
关键词 POLYOXOMETALATE 2D inorganic framework superprotonic conductivity proton dynamics
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Bioinspired Precision Peeling of Ultrathin Bamboo Green Cellulose Frameworks for Light Management in Optoelectronics
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作者 Yan Wang Yuan Zhang +2 位作者 Yingfeng Zuo Dawei Zhao Yiqiang Wu 《Nano-Micro Letters》 2026年第1期474-489,共16页
Cellulose frameworks have emerged as promising materials for light management due to their exceptional light-scattering capabilities and sustainable nature.Conventional biomass-derived cellulose frameworks face a fund... Cellulose frameworks have emerged as promising materials for light management due to their exceptional light-scattering capabilities and sustainable nature.Conventional biomass-derived cellulose frameworks face a fundamental trade-off between haze and transparency,coupled with impractical thicknesses(≥1 mm).Inspired by squid’s skin-peeling mechanism,this work develops a peroxyformic acid(HCOOOH)-enabled precision peeling strategy to isolate intact 10-μm-thick bamboo green(BG)frameworks—100×thinner than wood-based counterparts while achieving an unprecedented optical performance(88%haze with 80%transparency).This performance surpasses delignified biomass(transparency<40%at 1 mm)and matches engineered cellulose composites,yet requires no energy-intensive nanofibrillation.The preserved native cellulose I crystalline structure(64.76%crystallinity)and wax-coated uniaxial fibril alignment(Hermans factor:0.23)contribute to high mechanical strength(903 MPa modulus)and broadband light scattering.As a light-management layer in polycrystalline silicon solar cells,the BG framework boosts photoelectric conversion efficiency by 0.41%absolute(18.74%→19.15%),outperforming synthetic anti-reflective coatings.The work establishes a scalable,waste-to-wealth route for optical-grade cellulose materials in next-generation optoelectronics. 展开更多
关键词 Bamboo green Cellulose framework Chemical peeling Optical properties Light management
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Underscoring the polyimide-linkage in covalent organic frameworks and related applications
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作者 Qi Li Minqiao Liang +5 位作者 Huifen Zhuang Zhengyang Chen Yuxiang Jiang Xiaofei Chen Yifa Chen Ya-Qian Lan 《Chinese Chemical Letters》 2026年第2期6-18,共13页
Polyimide-linkage covalent organic frameworks(PI-COFs),as a subclass of the COFs material family,featuring the unique combination of excellent thermal stability of polyimide,tunable pore sizes,as well as high crystall... Polyimide-linkage covalent organic frameworks(PI-COFs),as a subclass of the COFs material family,featuring the unique combination of excellent thermal stability of polyimide,tunable pore sizes,as well as high crystallinity and surface area of COFs,are expected to be a novel type of promising crystalline porous material with potential applications in adsorption and separation,catalysis,chemical sensing,and energy storage.Therefore,it is increasingly important to summarize polyimide-linkage in COFs and related applications and provide in-depth insight to accelerate future development.In this review,we offer a comprehensive overview of recent advancements in PI-COFs,emphasizing their synthesis methods,design principles and applications.Finally,our brief outlooks on the current challenges and future developments of PI-COFs are provided.Overall,this review aims to guide the recent and future development of PI-COFs. 展开更多
关键词 Covalent organic frameworks Polyimide-linkage Heteroatomic sites Chemical stability Thermal stability
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Three-dimensional supramolecular polymer frameworks with precisely tunable and large apertures for enzyme encapsulation
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作者 Runtan Gao Yang Zong +2 位作者 Tingting Li Na Liu Zongquan Wu 《Chinese Chemical Letters》 2026年第1期361-367,共7页
Three-dimensional supramolecular organic frameworks with precisely tunable pore sizes are highly demanded for a wide range of applications,e.g.,encapsulating enzymes to enhance their stability,activity,and reusability... Three-dimensional supramolecular organic frameworks with precisely tunable pore sizes are highly demanded for a wide range of applications,e.g.,encapsulating enzymes to enhance their stability,activity,and reusability.However,precise control and tune the pore size of such frameworks still remains a significant challenge to date.In this study,we constructed supramolecular polymer frameworks using rigid tetrahedral star polyisocyanides with tunable length and sufficiently narrow distribution as building block.First,a series of tetrahedral four-arm star polyisocyanides with controlled chain lengths and narrow molecular weight distributions was prepared via the Pd(Ⅱ)-catalyzed living isocyanide polymerization.Then 2-ureido-4[1H]-pyrimidinone(Upy) unit was installed onto each chain-end of polyisocyanide arms via post-polymerization functionalization.Leveraging the supramolecular hydrogen bonding interactions between the terminal Upy units,well-ordered supramolecular polymer frameworks were readily obtained.Notably,the pore size was dependent on the chain length of the polyisocyanide arms.Precisely control the chain length of polyisocyanide arms,supramolecular polymer frameworks with pore sizes ranging from 5.06 nm to 9.72 nm were achieved.These frameworks,with tunable and large pore apertures,demonstrated exceptional capabilities in encapsulating enzymes of different sizes,such as lipase(TL),horseradish peroxidase(HRP),and glucose oxidase(GOx).The encapsulated enzymes exhibited significantly enhanced catalytic activity and durability.Moreover,the frameworks' tunable and large pore apertures facilitated the co-encapsulation of multiple enzymes,enabling efficient dual-enzyme cascade reactions. 展开更多
关键词 Supramolecular organic frameworks Living polymerization Supramolecular self-assembly Polyisocyanide Enzyme encapsulation
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