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Heteroepitaxial growth of Au@Pd core–shell nanocrystals with intrinsic chiral surfaces for enantiomeric recognition

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Rare Metals 2024年第1期43卷 225-235页

作者： feng-xia Wu feng-Hua Li xia-Li Lv Qi-xian Zhang Guo-Bao Xu Wen-Xin Niu State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China Shaoxing Institute of Technology Shanghai UniversityShaoxing 312000China University of Science and Technology of China Hefei 230026China School of Materials Science and Engineering Shanghai UniversityShanghai 200436China Zhejiang Institute of Advanced Materials Shanghai UniversityJiashan 314113China University of Chinese Academy of Sciences Beijing 100039China

Noble metal surfaces with intrinsic chirality serve as an ideal candidate for investigating enantioselective chemistry due to their superior chemical durability and high catalytic ***,significant advance has been made in synthesizing metal nanocrystals with intrinsic ***,the majority reports are limited to ***,through a heteroepitaxial growth strategy,the synthesis of metal nanocrystals with intrinsic chirality to palladium was extended for the first time and their application in enantioselective recognition was *** heteroepitaxial growth strategy allows for transferring the chirality of homochiral Au nanocrystals to Au@Pd core–shell *** employing the chiral Au@Pd nanocrystals as enantiomeric recognizing elements,a series of electrochemical sensors for chiral discrimination were *** optimal conditions,the peak potential between D-dihydroxyphenylalanine(D-DOPA)and L-dihydroxyphenylalanine(L-DOPA)is about 80 m V,and the peak current of D-DOPA is 2 times as much as that of L-DOPA,which enables the determination of the enantiomeric excess(EE,%)of ***,this report not only introduces a heteroepitaxial growth strategy to synthesize metal nanocrystals with intrinsic chirality,but also demonstrates the superior capability of integrating intrinsic chirality and catalytic properties into metal nanocrystals for chiral recognition.

关键词： Core–shell nanostructures Chirality transfer Electrochemical sensors Chiral recognition Chiroplasmonics

灰岩细观结构的化学损伤效应及化学损伤定量化研究方法探讨

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岩石力学与工程学报 2005年第8期24卷 1283-1288页

作者：丁梧秀冯夏庭中国科学院武汉岩土力学研究所中国科学院岩土力学重点实验室湖北武汉430071 洛阳大学土木工程学院河南洛阳471023

化学腐蚀下岩石细观结构的改变是引起岩石力学性质变化的根本原因,因此,对细观结构的化学损伤效应及其定量化的研究具有重要意义。通过化学腐蚀下岩石细观结构的变化,分析研究了化学溶液对岩石细观结构的腐蚀损伤效应;并以空隙率的变化... 详细信息

化学腐蚀下岩石细观结构的改变是引起岩石力学性质变化的根本原因,因此,对细观结构的化学损伤效应及其定量化的研究具有重要意义。通过化学腐蚀下岩石细观结构的变化,分析研究了化学溶液对岩石细观结构的腐蚀损伤效应;并以空隙率的变化为基础,建立了化学腐蚀下岩石细观结构化学损伤变量计算公式,给出了损伤测量参数的计算方法。该方法的应用,对岩石试件无破坏作用,可对同一试件持续进行不同时间段的腐蚀损伤特征研究。避免了在损伤时间效应研究过程中,因使用不同的岩块,而由岩块间微观结构差异所产生的误差影响。

关键词：岩石力学细观化学损伤变量定量化分析空隙率灰岩

应力–水流–化学耦合下岩石破裂全过程的细观力学试验

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岩石力学与工程学报 2005年第9期24卷 1465-1473页

作者：冯夏庭丁梧秀中国科学院武汉岩土力学研究所湖北武汉430071

自行研制了应力–水流–化学耦合下岩石破裂全过程的细观力学试验系统,可以进行应力–水流–化学耦合下的多项岩石力学细观试验,实现了应力–水流–化学耦合下岩石破裂全过程的显微与宏观实时监测、控制、记录与分析的岩石力学试验。对... 详细信息

自行研制了应力–水流–化学耦合下岩石破裂全过程的细观力学试验系统,可以进行应力–水流–化学耦合下的多项岩石力学细观试验,实现了应力–水流–化学耦合下岩石破裂全过程的显微与宏观实时监测、控制、记录与分析的岩石力学试验。对不同化学溶液腐蚀的多裂纹灰岩试件,应用该系统进行了应力–水流–化学耦合下单轴压缩破坏全过程的试验。试验过程中试件一直浸泡在流速为513 mm/s 的相应的化学溶液中,对NaCl 溶液(0.01 mol/L,pH = 7)作用下裂纹的起裂、发展及贯通破坏过程进行了分析研究。与未受化学溶液腐蚀的相同裂纹排列方式试件的试验结果比较,受化学溶液腐蚀与未受化学溶液腐蚀试件裂纹扩展破坏过程差异的主要原因为化学溶液对试件产生了腐蚀及软化作用,而未受化学溶液腐蚀试件的破坏则为脆性破坏。试验研究结果证明了该系统的科学性和先进性。

关键词：岩石力学应力-水流-化学细观力学试验系统预制多裂纹试件破裂全过程灰岩

基于仿生算法的滑坡危险滑动面反演(1)——滑动面搜索

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岩石力学与工程学报 2005年第13期24卷 2237-2241页

作者：高玮冯夏庭中国科学院武汉岩土力学研究所

滑坡稳定性分析中一个非常重要的问题就是其潜在危险滑动面搜索的问题。为了更好地进行滑动面搜索研究,这里以滑动面上的若干关键点作为搜索目标,从而使问题变成了一个搜索关键点坐标的问题。由于实际滑坡性质的复杂性,此优化问题非常复... 详细信息

滑坡稳定性分析中一个非常重要的问题就是其潜在危险滑动面搜索的问题。为了更好地进行滑动面搜索研究,这里以滑动面上的若干关键点作为搜索目标,从而使问题变成了一个搜索关键点坐标的问题。由于实际滑坡性质的复杂性,此优化问题非常复杂,采用常规优化技术常常不能奏效。为了有效地解决这个问题,这里以效率更高、效果更佳的仿生算法——免疫进化规划作为优化工具,以滑动面上关键点坐标作为优化参数,以滑坡稳定性安全系数作为优化目标进行研究,提出了一种进行任意滑动面搜索的新方法。最后,通过一个典型算例及一个边坡工程实例验证了方法的有效性。

关键词：工程地质危险滑动面搜索优化问题仿生算法免疫进化规划

Path signature-based XAI-enabled network time series classification

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Science China(Information Sciences) 2024年第7期67卷 91-106页

作者： Le SUN Yueyuan WANG Yongjun REN feng xia Department of Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Nanjing University of Information Science and Technology School of Computing Technologies Royal Melbourne Institute of Technology

Classifying network time series(NTS) is crucial for automating network administration and ensuring cyberspace security. It enables the detection of anomalies, the identification of network attacks,and the monitoring of performance issues, thereby providing valuable support for network protection and optimization. However, modern communication networks pose challenges for NTS classification *** include handling large-scale and complex NTS data, extracting features from intricate datasets, and addressing explainability requirements. These challenges are particularly pronounced for complex 5G networks. Notably, explainability has become crucial for the widespread deployment of network automation for 5G networks and beyond. To tackle these challenges, we propose a path-signature-based NTS classification model called recurrent signature(Recur Sig). This innovative model is designed to overcome the time-consuming feature selection problem by utilizing deep-learning(DL) techniques. Additionally, it provides a solution for addressing the black-box issue associated with DL models in network automation systems(NAS) by incorporating an explainable classification approach. Extensive experimentation on various public datasets demonstrates that Recur Sig outperforms existing models in accuracy and explainability. The results indicate its potential for application in cyberspace security and automated network management, offering an explainable solution for network protection and optimization.

关键词： network time series classification explainable artificial intelligence path signature automated network management recurrent neural network

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基于神经网络范例推理的边坡稳定性评价方法

岩土力学 2005年第2期26卷 193-197页

作者：刘沐宇冯夏庭中国科学院武汉岩土力学研究所

提出了基于神经网络范例推理的边坡稳定性评价方法。针对边坡的稳定性影响因素的复杂多变性和相当强的不确定性,建立了基于神经网络的边坡范例检索模型。运用神经网络强大的自适应、自组织、自学习的能力以及高度的非线性映射性、泛化... 详细信息

提出了基于神经网络范例推理的边坡稳定性评价方法。针对边坡的稳定性影响因素的复杂多变性和相当强的不确定性,建立了基于神经网络的边坡范例检索模型。运用神经网络强大的自适应、自组织、自学习的能力以及高度的非线性映射性、泛化性和容错性的特点,通过边坡范例的神经网络学习,建立了当前边坡和边坡范例之间相似性计算关系,最终实现了当前边坡的稳定性评价。对于 8 个验证边坡范例,模型的预测准确性达到了 100 %,范例中的 160 组数据的相关性也达到了0.981 5,表明建立的模型具有很高的预测准确性,模型的泛化能力很强。

关键词：范例推理神经网络边坡稳定性评价

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飞行航迹对机场噪声的影响分析研究

环境科学与技术 2017年第2期40卷 174-180页

作者：冯霞王婷中国民航信息技术科研基地天津300300 中国民航大学计算机科学与技术学院天津300300

不同次飞行产生的航迹各不相同,针对飞行航迹对机场周围噪声的影响分析问题,该文结合航迹数据与噪声监测数据,分别基于T检验和方差分析方法,研究分析相同机型及飞行程序产生的不同航迹对机场周围的噪声影响是否存在显著性差异。基于北... 详细信息

不同次飞行产生的航迹各不相同,针对飞行航迹对机场周围噪声的影响分析问题,该文结合航迹数据与噪声监测数据,分别基于T检验和方差分析方法,研究分析相同机型及飞行程序产生的不同航迹对机场周围的噪声影响是否存在显著性差异。基于北京首都国际机场噪声监测系统实际记录数据的实验结果表明,相同飞行程序及飞机机型所产生的不同航迹对机场周围的噪声影响存在显著性差异,通过优化航迹减少噪声影响是可行的噪声控制策略。

关键词：噪声监测系统航迹机场噪声 T检验方差分析

Targeting RAF dimers in RAS mutant tumors:From biology to clinic

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Acta Pharmaceutica Sinica B 2024年第5期14卷 1895-1923页

作者： Huanhuan Yin Qiulin Tang Hongwei xia feng Bi Division of Abdominal Cancer Department of Medical OncologyCancer Center and Laboratory of Molecular Targeted Therapy in OncologyWest China HospitalSichuan UniversityChengdu 610041China

RAS mutations occur in approximately 30%of tumors worldwide and have a poor prognosis due to limited *** targeting of KRAS G12C has achieved significant success in recent years,but there is still a lack of efficient therapeutic approaches for tumors with non-G12C KRAS mutations.A highly promising approach is to target the MAPK pathway downstream of RAS,with a particular focus on RAF ***-generation RAF inhibitors have been authorized to treat BRAF mutant tumors for over a ***,their use in RAS-mutated tumors is not recommended due to the paradoxical ERK activation mainly caused by RAF *** address the issue of RAF dimerization,type II RAF inhibitors have emerged as leading *** clinical studies have shown the initial effectiveness of these agents against RAS mutant ***,type II RAF inhibitors in combination with MEK or ERK inhibitors have demonstrated impressive efficacy in RAS mutant *** review aims to clarify the importance of RAF dimerization in cellular signaling and resistance to treatment in tumors with RAS mutations,as well as recent progress in therapeutic approaches to address the problem of RAF dimerization in RAS mutant tumors.

关键词： RAS mutations RAF dimerization RAF inhibitors Cancer therapy Drug resistance

High-temperature stability of retained austenite and plastic deformation mechanism of ultra-fine bainitic steel isothermally treated below Ms

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Journal of Iron and Steel Research International 2024年第8期31卷 2014-2030页

作者： ting-ting He feng Hu Kun Wang Wen Zhou Li Li Serhii Yershov Kai-ming Wu The State Key Laboratory of Refractories and Metallurgy Wuhan University of Science and TechnologyWuhan 430081HubeiChina Collaborative Innovation Center for Advanced Steels Wuhan University of Science and TechnologyWuhan 430081HubeiChina Zhejiang Tsingshan Iron and Steel Co. Ltd.Qingtian 323903ZhejiangChina

The mechanical properties of the sample and the stability of retained austenite were studied by designing two kinds of ultra-fine bainitic steel with different heat treatment methods austempering above and below Ms(martensite start tem-perature),which were subjected to tensile tests at 20 and 450℃,*** results show that compared to room temperature(20℃)tensile properties,the uniform elongation of the sample at high temperature(450℃)significantly ***,the uniform elongation of the sample austempered above Ms decreased from 8.0%to 3.5%,and the sample austempered below Ms decreased from 10.9%to 3.1%.Additionally,the tensile strength of the sample austempered above Ms significantly decreased(from 1281 to 912 MPa),and the sample austempered below Ms slightly decreased(from 1010 to 974 MPa).This was due to the high carbon content(1.60 wt.%),high mechanical stability,low thermal stability for the retained austenite of the sample austempered below ***,the retained austenite decomposed at high temper-atures,the carbon content and transformation driving force were significantly reduced,the transformation rate increased,and the phase transformation content reduced.

关键词： Ultra-fine bainite Isothermal treatment High-temperature tensile property Retained austenite stability Plastic deformation