Fatty acids(FAs),which were initially recognized as energy sources and essential building blocks of biomembranes,serve as the precursors of important signaling molecules.Tracing FA metabolism is essential to understan...Fatty acids(FAs),which were initially recognized as energy sources and essential building blocks of biomembranes,serve as the precursors of important signaling molecules.Tracing FA metabolism is essential to understanding the biochemical activity and role of FAs in physiological and pathological events.Inspired by the advances in click chemistry for protein enrichment,we herein established a click chemistry-based enrichment(CCBE)strategy for tracing the cellular metabolism of eicosapentaenoic acid(EPA,20:5 n-3)in neural cells.Terminal alkyne-labeled EPA(EPAA)used as a surrogate was incubated with N2a,mouse neuroblastoma cells,and alkyne-labeled metabolites(ALMs)were selectively captured by an azide-modified resin via a Cu(I)-catalyzed azide-alkyne cycloaddition reaction for enrichment.After removing unlabeled metabolites,ALMs containing a triazole moiety were cleaved from solid-phase resins and subjected to liquid chromatography mass spectrometry(LC-MS)analysis.The proposed CCBE strategy is highly selective for capturing and enriching alkyne-labeled metabolites from the complicated matrices.In addition,this method can overcome current detection limits by enhancing MS sensitivity of targets,improving the chromatographic separation of sn-position glycerophospholipid regioisomers,facilitating structural characterization of ALMs by a specific MS/MS fragmentation signature,and providing versatile fluorescence detection of ALMs for cellular distribution.This CCBE strategy might be expanded to trace the metabolism of other FAs,small molecules,or drugs.展开更多
Thiol-ene click reaction is an intriguing strategy for preparing polymer electrolytes due to its high activity,atom economy and less side reaction.However,the explosive reaction rate and the use of non-electrolytic am...Thiol-ene click reaction is an intriguing strategy for preparing polymer electrolytes due to its high activity,atom economy and less side reaction.However,the explosive reaction rate and the use of non-electrolytic amine catalyst hamper its application in in-situ batteries.Herein,a nitrogen-containing eutectic solution is designed as both the catalyst of the thiol-ene reaction and the plasticizer to in-situ synthesize the gel polymer electrolytes,realizing a mild in-situ gelation process and the preparation of high-performance gel electrolytes.The obtained gel polymer electrolytes exhibit a high ionic conductivity of 4×10^(−4)S cm^(−1)and lithium-ion transference number(t_(Li)^(+))of 0.51 at 60°C.The as-assembled Li/LiFePO_(4)(LFP)cell delivers a high initial discharge capacity of 155.9 mAh g^(-1),and a favorable cycling stability with the capacity retention of 82%after 800 cycles at 1 C is also obtained.In addition,this eutectic solution significantly improves the rate performance of the LFP cell with high specific capacity of 141.5 and 126.8 mAh g^(-1)at 5 C and 10 C,respectively,and the cell can steadily work at various charge–discharge rate for 200 cycles.This powerful and efficient strategy may provide a novel way for in-situ preparing gel polymer electrolytes with desirable comprehensive performances.展开更多
点击率(CTR)预测通过预测用户对广告或商品的点击概率,实现数字广告精准推荐。针对现有CTR模型存在原始嵌入向量未精化、特征交互方式偏简单的问题,本文提出自注意力深度域嵌入因子分解机(self-attention deep field-embedded factoriza...点击率(CTR)预测通过预测用户对广告或商品的点击概率,实现数字广告精准推荐。针对现有CTR模型存在原始嵌入向量未精化、特征交互方式偏简单的问题,本文提出自注意力深度域嵌入因子分解机(self-attention deep field-embedded factorization machine,Self-AtDFEFM)模型。首先,通过多头自注意力对原始嵌入向量加权,精化出关键低层特征;其次,构建深度域嵌入因子分解机(FEFM)模块,设计域对对称矩阵以提升不同特征域之间的交互强度,为高阶特征交互优选出低阶特征组合;再次,基于低阶特征组合构建深度神经网络(DNN),完成隐式高阶特征交互;然后,围绕精化后的嵌入向量,联合多头自注意力与残差机制堆叠多个显式高阶特征交互层,通过自注意力捕获同一特征在不同子空间上的互补信息,完成显示高阶特征交互;最后,联合显式与隐式高阶特征交互实现点击率预测。在Criteo和Avazu两大公开数据集上,将Self-AtDFEFM模型与主流基线模型在AUC和LogLoss指标上进行对比实验;为Self-AtDFEFM模型调制显式高阶特征交互层层数、注意力头数量、嵌入层维度及隐式高阶特征交互层层数等参数;对Self-AtDFEFM模型进行消融实验。实验结果表明:在两大数据集上,Self-AtDFEFM模型的AUC、LogLoss均优于主流基线模型;Self-AtDFEFM模型的全部参数已调为最佳;各模块形成合力以促使Self-AtDFEFM模型性能达到最优,其中显示高阶特征交互层的作用最大。Self-AtDFEFM模型各模块即插即用,易于构建和部署,且在性能与复杂度之间取得平衡,具备较高实用性。展开更多
建立了由一个制造商和一个分销商组成的基于电子市场的二级供应链模型,讨论了分销商采用Bricks and Clicks模式分销产品,并在电子渠道进行季节后销售的情况,分析了供应链的契约协调问题及供应链成员的利润情况.研究发现改进的回购契约...建立了由一个制造商和一个分销商组成的基于电子市场的二级供应链模型,讨论了分销商采用Bricks and Clicks模式分销产品,并在电子渠道进行季节后销售的情况,分析了供应链的契约协调问题及供应链成员的利润情况.研究发现改进的回购契约可以使Bricks and Clicks分销模式下基于电子市场的二级供应链模型达到协调,使分销商的订货量达到供应链最优,并且使供应链成员的利润达到Pareto改进,达到"双赢".最后,通过算例验证了结论.展开更多
Click是一种模块化的软件路由器体系结构,基于该体系结构用户可以根据自己的需求搭建不同功能的路由器。针对Click软件路由器支持静态路由协议的局限性,引入模块化路由器软件协议栈XORP(eXtensible Open Router Platform),实现了动态路...Click是一种模块化的软件路由器体系结构,基于该体系结构用户可以根据自己的需求搭建不同功能的路由器。针对Click软件路由器支持静态路由协议的局限性,引入模块化路由器软件协议栈XORP(eXtensible Open Router Platform),实现了动态路由协议在Click软件路由器上的扩展。通过搭建实验网络拓扑环境,验证了基于Click转发平台的两种不同的动态路由协议RIP和OSPF,并进行了相关测试和性能分析。实验结果表明,Click软件路由器的转发性能与Linux内核基本一致,但相比较而言,Click软件路由器具有灵活、可扩展、模块化等不可比拟的优势。展开更多
基金supported by grants from the Research Committee of the University of Macao,Macao SAR,China(Grant No.:MYRG2022-00020-ICMS)the Science and Technology Development Fund,Macao,China(File Nos.:0074/2021/AFJ and 0052/2022/A1).
文摘Fatty acids(FAs),which were initially recognized as energy sources and essential building blocks of biomembranes,serve as the precursors of important signaling molecules.Tracing FA metabolism is essential to understanding the biochemical activity and role of FAs in physiological and pathological events.Inspired by the advances in click chemistry for protein enrichment,we herein established a click chemistry-based enrichment(CCBE)strategy for tracing the cellular metabolism of eicosapentaenoic acid(EPA,20:5 n-3)in neural cells.Terminal alkyne-labeled EPA(EPAA)used as a surrogate was incubated with N2a,mouse neuroblastoma cells,and alkyne-labeled metabolites(ALMs)were selectively captured by an azide-modified resin via a Cu(I)-catalyzed azide-alkyne cycloaddition reaction for enrichment.After removing unlabeled metabolites,ALMs containing a triazole moiety were cleaved from solid-phase resins and subjected to liquid chromatography mass spectrometry(LC-MS)analysis.The proposed CCBE strategy is highly selective for capturing and enriching alkyne-labeled metabolites from the complicated matrices.In addition,this method can overcome current detection limits by enhancing MS sensitivity of targets,improving the chromatographic separation of sn-position glycerophospholipid regioisomers,facilitating structural characterization of ALMs by a specific MS/MS fragmentation signature,and providing versatile fluorescence detection of ALMs for cellular distribution.This CCBE strategy might be expanded to trace the metabolism of other FAs,small molecules,or drugs.
基金the National Natural Science Foundation of China(Grant no.51973073)the Fel owship of China Postdoctoral Science Foundation(2021M701303)the analytical and testing assistance from the Analysis and Testing Center of HUST for support of this work
文摘Thiol-ene click reaction is an intriguing strategy for preparing polymer electrolytes due to its high activity,atom economy and less side reaction.However,the explosive reaction rate and the use of non-electrolytic amine catalyst hamper its application in in-situ batteries.Herein,a nitrogen-containing eutectic solution is designed as both the catalyst of the thiol-ene reaction and the plasticizer to in-situ synthesize the gel polymer electrolytes,realizing a mild in-situ gelation process and the preparation of high-performance gel electrolytes.The obtained gel polymer electrolytes exhibit a high ionic conductivity of 4×10^(−4)S cm^(−1)and lithium-ion transference number(t_(Li)^(+))of 0.51 at 60°C.The as-assembled Li/LiFePO_(4)(LFP)cell delivers a high initial discharge capacity of 155.9 mAh g^(-1),and a favorable cycling stability with the capacity retention of 82%after 800 cycles at 1 C is also obtained.In addition,this eutectic solution significantly improves the rate performance of the LFP cell with high specific capacity of 141.5 and 126.8 mAh g^(-1)at 5 C and 10 C,respectively,and the cell can steadily work at various charge–discharge rate for 200 cycles.This powerful and efficient strategy may provide a novel way for in-situ preparing gel polymer electrolytes with desirable comprehensive performances.
文摘点击率(CTR)预测通过预测用户对广告或商品的点击概率,实现数字广告精准推荐。针对现有CTR模型存在原始嵌入向量未精化、特征交互方式偏简单的问题,本文提出自注意力深度域嵌入因子分解机(self-attention deep field-embedded factorization machine,Self-AtDFEFM)模型。首先,通过多头自注意力对原始嵌入向量加权,精化出关键低层特征;其次,构建深度域嵌入因子分解机(FEFM)模块,设计域对对称矩阵以提升不同特征域之间的交互强度,为高阶特征交互优选出低阶特征组合;再次,基于低阶特征组合构建深度神经网络(DNN),完成隐式高阶特征交互;然后,围绕精化后的嵌入向量,联合多头自注意力与残差机制堆叠多个显式高阶特征交互层,通过自注意力捕获同一特征在不同子空间上的互补信息,完成显示高阶特征交互;最后,联合显式与隐式高阶特征交互实现点击率预测。在Criteo和Avazu两大公开数据集上,将Self-AtDFEFM模型与主流基线模型在AUC和LogLoss指标上进行对比实验;为Self-AtDFEFM模型调制显式高阶特征交互层层数、注意力头数量、嵌入层维度及隐式高阶特征交互层层数等参数;对Self-AtDFEFM模型进行消融实验。实验结果表明:在两大数据集上,Self-AtDFEFM模型的AUC、LogLoss均优于主流基线模型;Self-AtDFEFM模型的全部参数已调为最佳;各模块形成合力以促使Self-AtDFEFM模型性能达到最优,其中显示高阶特征交互层的作用最大。Self-AtDFEFM模型各模块即插即用,易于构建和部署,且在性能与复杂度之间取得平衡,具备较高实用性。
文摘建立了由一个制造商和一个分销商组成的基于电子市场的二级供应链模型,讨论了分销商采用Bricks and Clicks模式分销产品,并在电子渠道进行季节后销售的情况,分析了供应链的契约协调问题及供应链成员的利润情况.研究发现改进的回购契约可以使Bricks and Clicks分销模式下基于电子市场的二级供应链模型达到协调,使分销商的订货量达到供应链最优,并且使供应链成员的利润达到Pareto改进,达到"双赢".最后,通过算例验证了结论.
文摘Click是一种模块化的软件路由器体系结构,基于该体系结构用户可以根据自己的需求搭建不同功能的路由器。针对Click软件路由器支持静态路由协议的局限性,引入模块化路由器软件协议栈XORP(eXtensible Open Router Platform),实现了动态路由协议在Click软件路由器上的扩展。通过搭建实验网络拓扑环境,验证了基于Click转发平台的两种不同的动态路由协议RIP和OSPF,并进行了相关测试和性能分析。实验结果表明,Click软件路由器的转发性能与Linux内核基本一致,但相比较而言,Click软件路由器具有灵活、可扩展、模块化等不可比拟的优势。
