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Recent progress in metal-organic frameworks(Part II—material application)

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Science China Chemistry 2025年

作者： Jiandong Pang Wentao Jiang Xue-Wen zhang Hao-Long Zhou Yuxiu Sun Wei Gong Bin Wang Fuyin Ma Linwei He Long Chen Qiang Chen He-Qi Zheng Yuanjing Cui Wen-Jie Shi chao zhang Mei Wang Yue-Biao zhang Jie-Peng zhang Chongli Zhong Yong Cui Shuao Wang Jian-Rong Li Guodong Qian Tong-Bu Lu Huan Pang Xian-He Bu Institute for New Energy Materials and Low Carbon Technologies School of Materials Science and Engineering Tianjin University of Technology School of Chemistry and Chemical Engineering Yangzhou University School of Materials Science and Engineering Nankai University School of Physical Science and Technology ShanghaiTech University MOE Key Laboratory of Bioinorganic and Synthetic Chemistry GBRCE for Functional Molecular Engineering School of Chemistry IGCMESun Yat-sen University Department of Chemistry Shantou University School of Chemical Engineering and Technology Tiangong University School of Chemistry and Chemical Engineering Shanghai Jiao Tong University State Key Laboratory of Radiation Medicine and Protection School for Radiological and Interdisciplinary Sciences Soochow University College of Materials Science & Engineering Beijing University of Technology State Key Laboratory of Silicon and Advanced Semiconductor Materials Cyrus Tang Center for Sensor Materials and ApplicationsSchool of Materials Science & Engineering Zhejiang University

As a class of functional crystalline porous materials, metal-organic frameworks(MOFs) gained rapid development in the past three decades and a large number of MOFs with ordered structures, high surface areas, and functionalized channels have been investigated. MOFs and MOF-derived/composite materials show great potential in many application fields. In this review, we discussed the main applications of MOFs and MOF-derived/composite materials in small molecule storage, separation, luminescence, sensing, multitype catalysis, and energy storage. In addition, challenges and problems in the future research of MOFsrelated fields are also discussed.

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基于深度子空间学习和数据增强的滚动轴承故障诊断方法

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光电子·激光 2025年第1期36卷 69-76页

作者：张帅帅张超王肖锋天津理工大学天津市先进机电系统设计与智能控制重点实验室彼合彼方机器人(天津)有限公司天津理工大学机电工程国家级实验教学示范中心

主成分分析网络（principal component analysis network, PCANet）作为一种基于深度子空间学习框架的网络模型，在多个应用领域展现出卓越的性能。然而，在滚动轴承故障诊断方面，PCANet算法存在无法准确反映数据完整结构信息、鲁棒性... 详细信息

主成分分析网络（principal component analysis network, PCANet）作为一种基于深度子空间学习框架的网络模型，在多个应用领域展现出卓越的性能。然而，在滚动轴承故障诊断方面，PCANet算法存在无法准确反映数据完整结构信息、鲁棒性差以及泛化能力较弱等问题。本文针对这些问题，提出了一种基于PCANet算法和数据增强的滚动轴承故障诊断方法。该方法利用L2,1范数学习滚动轴承振动信号的频域稀疏结构，从而抑制噪声数据，提高模型鲁棒性。此外，通过数据增强处理，不同类别的训练样本之间的差异性也得到显著增加，从而提高了模型的泛化能力。最后，实验结果表明，该方法明显提高了PCANet模型的鲁棒性和泛化能力，能够准确识别不同类型的滚动轴承故障。

关键词：滚动轴承主成分分析网络(PCANet) 数据增强 L2,1范数故障诊断

Catalyst–Support Interaction in Polyaniline‑Supported Ni_(3)Fe Oxide to Boost Oxygen Evolution Activities for Rechargeable Zn‑Air Batteries

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Nano-Micro Letters 2025年第1期17卷 176-190页

作者： Xiaohong Zou Qian Lu Mingcong Tang Jie Wu Kouer zhang Wenzhi Li Yunxia Hu Xiaomin Xu Xiao zhang Zongping Shao Liang An Department of Mechanical Engineering The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong SARPeople’s Republic of China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologySchool of Environmental Science and TechnologyNanjing University of Information Science and TechnologyNanjing 210044People’s Republic of China Department of Chemistry The Chinese University of Hong KongMa Lin BuildingShatinHong Kong SAR 999077People’s Republic of China WA School of Mines:Minerals Energy and Chemical Engineering(WASM‑MECE)Curtin UniversityPerthWA 6102Australia Research Institute for Advanced Manufacturing The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong SARPeople’s Republic of China Research Institute for Smart Energy The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong SARPeople’s Republic of China

Catalyst–support interaction plays a crucial role in improving the catalytic activity of oxygen evolution reaction(OER).Here we modulate the catalyst–support interaction in polyaniline-supported Ni_(3)Fe oxide(Ni_(3)Fe oxide/PANI)with a robust hetero-interface,which significantly improves oxygen evolution activities with an overpotential of 270 mV at 10 mA cm^(-2)and specific activity of 2.08 mA cm_(ECSA)^(-2)at overpotential of 300 mV,3.84-fold that of Ni_(3)Fe *** is revealed that the catalyst–support interaction between Ni_(3)Fe oxide and PANI support enhances the Ni–O covalency via the interfacial Ni–N bond,thus promoting the charge and mass transfer on Ni_(3)Fe *** the excellent activity and stability,rechargeable Zn-air batteries with optimum Ni_(3)Fe oxide/PANI are assembled,delivering a low charge voltage of 1.95 V to cycle for 400 h at 10 mA cm^(-2).The regulation of the effect of catalyst–support interaction on catalytic activity provides new possibilities for the future design of highly efficient OER catalysts.

关键词： Catalyst-support interaction Supported catalysts Heterointerface Oxygen evolution reaction Zn-air batteries

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麦/玉/豆周年套作体系氮素积累分配及转运

植物营养与肥料学报 2014年第5期20卷 1127-1138页

作者：陈晓辉徐开未唐义琴刘静陈新平张朝春陈远学四川农业大学资源环境学院四川成都611130 中国农业大学资源与环境学院北京100193

【目的】四川盆地特殊的高温寡照气候,使得作物间套作十分广泛。"麦/玉/豆"体系有利于资源循环高效利用和农业可持续发展。本项目研究了"麦/玉/豆"周年套作体系中各作物的氮素积累分配和花后氮素转运特征,旨在明确体系各作物的氮素营养... 详细信息

【目的】四川盆地特殊的高温寡照气候,使得作物间套作十分广泛。"麦/玉/豆"体系有利于资源循环高效利用和农业可持续发展。本项目研究了"麦/玉/豆"周年套作体系中各作物的氮素积累分配和花后氮素转运特征,旨在明确体系各作物的氮素营养吸收特性,为该体系的氮肥合理施用及高产高效提供理论依据。【方法】通过2011、2012连续两年田间定位试验,研究了"小麦/玉米/大豆"套作体系在不同氮用量下(小麦设N 0、60、120、180、240kg/hm2,分别表示为WN1、WN2、WN3、WN4、WN5;玉米设N 0、97.5、195、292.5、390 kg/hm2,分别表示为MN1、MN2、MN3、MN4、MN5;大豆不施肥,依前作的施氮处理依次记为SN1、SN2、SN3、SN4、SN5)各作物的氮素积累分配、花后氮素的转运。【结果】1)小麦各部位氮积累量都随氮用量增加而增大,籽粒、茎鞘、叶片和颖壳穗轴分别占地上部总氮积累量(平均为218.6 kg/hm2)的71.5%、12.2%、9.2%和7.1%;小麦花后从营养器官向籽粒转移的氮量及其贡献率随施氮量增加而增大,但转移率在不同氮处理下差异不显著,平均为61.5%;随氮用量增加,籽粒的氮分配比例逐渐减少,而非籽粒部分的氮分配比例则随之增大;小麦籽粒产量随施氮量增加而增大,但WN3~WN5处理间差异不显著。2)玉米各部位氮积累量随氮用量增加而增大,籽粒、叶片、茎鞘和苞叶芯分别占地上部总氮积累量(平均为108.1 kg/hm2)的67.2%、3.9%、11.8%和7.0%;玉米花后从营养器官向籽粒的氮素转移量、转移率和贡献率均随施氮量的增加呈先增加后降低的变化趋势,都以MN3处理最大;玉米各部位的氮积累比例在叶片、茎鞘中以MN1处理最大,MN2~MN5处理明显降低,在苞叶芯中不同氮处理间无明显变化,在籽粒中表现为施氮处理显著高于不施氮处理,而施氮处理间差异不显著;玉米籽粒产量随施氮量增加而增大,但MN4、MN5处理间差异不显著。3)大豆收获期茎秆、荚皮、籽粒的氮积累量都有随施氮量增加而逐渐增大的趋势,以SN4和SN5两个处理显著高于另外三个处理,而在SN1~SN3、SN4与SN5间无显著性差异;籽粒、茎秆、荚皮的氮积累比例在5个处理间无显著变化,平均分别为82.2%、5.2%、12.6%;大豆花后从营养器官向籽粒转移的氮量从SN1~SN5处理有先显著降低后又逐渐升高的变化趋势,而氮素转移率和转移氮素的贡献率在各处理之间无显著差异,平均分别为80.8%和26.6%;大豆籽粒产量以SN4和SN5两个处理显著高于另外三个处理,而在SN1~SN3、SN4与SN5间无显著性差异。【结论】低氮处理显著影响套作小麦、玉米、大豆3种作物的产量及氮素的积累,高氮投入会促使氮素滞留在营养器官中,阻碍其花后向籽粒中转移;体系全年施N量在255~382.5 kg/hm2为宜,其中小麦120~180 kg/hm2,玉米195~292.5 kg/hm2,大豆不施或依苗情适当追施氮肥。

关键词：小麦/玉米/大豆套作体系氮积累氮分配氮转运

An Improved Practical Byzantine Fault-Tolerant Algorithm Based on XGBoost Grouping for Consortium Chains

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Computers, Materials & Continua 2025年第1期82卷 1295-1311页

作者： Xiaowei Wang Haiyang zhang Jiasheng zhang Yingkai Ge Kexin Cui Zifu Peng Zhengyi Li Lihua Wang College of Electronic and Information Engineering Shandong University of Science and TechnologyQingdao266590China

In response to the challenges presented by the unreliable identity of the master node,high communication overhead,and limited network support size within the Practical Byzantine Fault-Tolerant(PBFT)algorithm for consortium chains,we propose an improved PBFT algorithm based on XGBoost grouping called XG-PBFT in this ***-PBFT constructs a dataset by training important parameters that affect node performance,which are used as classification indexes for *** XGBoost algorithm then is employed to train the dataset,and nodes joining the system will be grouped according to the trained grouping *** them,the nodes with higher parameter indexes will be assigned to the consensus group to participate in the consensus,and the rest of the nodes will be assigned to the general group to receive the consensus *** order to reduce the resource waste of the system,XG-PBFT optimizes the consensus protocol for the problem of high complexity of PBFT ***,we evaluate the performance of *** experimental results show that XG-PBFT can significantly improve the performance of throughput,consensus delay and communication complexity compared to the original PBFT algorithm,and the performance enhancement is significant compared to other algorithms in the case of a larger number of *** results demonstrate that the XG-PBFT algorithm is more suitable for large-scale consortium chains.

关键词： Consortium chain PBFT grouping reputation XGBoost

Satellite remote sensing reveals overwhelming recovery of forest from disturbances in Asia

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Atmospheric and Oceanic Science Letters 2025年第1期18卷 46-51页

作者： Yiying Zhu Hesong Wang Anzhi zhang School of Ecology and Nature Conservation Beijing Forestry UniversityBeijingChina Key Laboratory of Regional Climate and Environment for Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina College of Forestry and Landscape Architecture Xinjiang Agricultural UniversityUrumqiChina

Forest ecosystems play key roles in mitigating human-induced climate change through enhanced carbon uptake;however,frequently occurring climate extremes and human activities have considerably threatened the stability of *** the same time,detailed accounts of disturbances and forest responses are not yet well quantified in *** study employed the Breaks For Additive Seasonal and Trend method-an abrupt-change detection method-to analyze the Enhanced Vegetation Index time series in East Asia,South Asia,and Southeast *** approach allowed us to detect forest disturbance and quantify the resilience after *** showed that 20%of forests experienced disturbance with an increasing trend from 2000 to 2022,and Southeast Asian countries were more severely affected by ***,95%of forests had robust resilience and could recover from disturbance within a few *** resilience of forests suffering from greater magnitude of disturbance tended to be stronger than forests with lower disturbance *** summary,this study investigated the resilience of forests across the low and middle latitudes of Asia over the past two *** authors found that most forests exhibited good resilience after disturbance and about two-thirds had recovered to a better state in *** findings of this study underscore the complex relationship between disturbance and resilience,contributing to comprehension of forest resilience through satellite remote sensing.

关键词： Forest ecosystem Enhanced vegetation index Breaks for additive seasonal and trend method Disturbance Resilience

绿豆R2R3-MYB转录因子家族鉴定及其类黄酮合成调控基因的筛选

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作物学报 2025年第1期51卷 117-133页

作者：郭飞翔李春霞周爽郭彬彬张均马超河南科技大学农学院/河南省旱地农业工程技术研究中心河南洛阳471000

R2R3-MYB转录因子家族在植物次生代谢物合成、胁迫应答和生长发育等生命过程起着重要的调控作用。本研究基于生物信息学鉴定了绿豆(Vigna radiata L.)全基因组水平的R2R3-MYB转录因子,并对其理化性质、系统进化、染色体定位、启动子顺... 详细信息

R2R3-MYB转录因子家族在植物次生代谢物合成、胁迫应答和生长发育等生命过程起着重要的调控作用。本研究基于生物信息学鉴定了绿豆(Vigna radiata L.)全基因组水平的R2R3-MYB转录因子,并对其理化性质、系统进化、染色体定位、启动子顺式作用元件及基因结构做了预测分析;此外,转录组数据和实时荧光定量PCR(QuantitativeReal-timePCR,RT-PCR)分析该转录因子在不同组织、逆境胁迫下的表达模式;并基于相关分析及蛋白互作网络,筛选到可能参与调控绿豆类黄酮生物合成的R2R3-MYB成员。结果表明,共鉴定到168个R2R3-MYB成员,其中145个分布于11条染色体, 23个成员染色体信息未知;大多数R2R3-MYB含有3个外显子,编码99~1645个氨基酸,均为亲水性蛋白;系统进化将绿豆R2R3-MYB基因家族分为30个亚组(V1~V30),不同亚组成员的基因结构存在差异;共线性分析表明,片段复制事件均进行了纯化选择;启动子顺式作用元件分析表明,绿豆R2R3-MYB基因启动子区含有大量激素响应、胁迫响应及少量的类黄酮合成响应等元件;基因表达分析表明,在叶片、叶柄、下胚轴和籽粒种皮中表达量较高的成员分别占15.5%、16.1%、16.1%和10.7%。RT-PCR分析发现,几乎所有的R2R3-MYB家族成员在低温胁迫下的相对表达量显著下调,不同成员对逆境胁迫有不同的响应模式。蛋白互作与相关性分析可知,VrMYB6、VrMYB77、VrMYB93这3个基因可能参与了绿豆类黄酮生物合成的调控。

关键词：绿豆 R2R3-MYB转录因子转录因子家族分析类黄酮合成调控基因

Joint Estimation of SOH and RUL for Lithium-Ion Batteries Based on Improved Twin Support Vector Machineh

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Energy Engineering 2025年第1期122卷 243-264页

作者： Liyao Yang HongyanMa Yingda zhang Wei He School of Electrical and Information Engineering Beijing University of Civil Engineering and ArchitectureBeijing100044China Institute of Distributed Energy Storage Safety Big Data Beijing100044China Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing100044China

Accurately estimating the State of Health(SOH)and Remaining Useful Life(RUL)of lithium-ion batteries(LIBs)is crucial for the continuous and stable operation of battery management ***,due to the complex internal chemical systems of LIBs and the nonlinear degradation of their performance,direct measurement of SOH and RUL is *** address these issues,the Twin Support Vector Machine(TWSVM)method is proposed to predict SOH and ***,the constant current charging time of the lithium battery is extracted as a health indicator(HI),decomposed using Variational Modal Decomposition(VMD),and feature correlations are computed using Importance of Random Forest Features(RF)to maximize the extraction of critical factors influencing battery performance ***,to enhance the global search capability of the Convolution Optimization Algorithm(COA),improvements are made using Good Point Set theory and the Differential Evolution *** Improved Convolution Optimization Algorithm(ICOA)is employed to optimize TWSVM parameters for constructing SOH and RUL prediction ***,the proposed models are validated using NASA and CALCE lithium-ion battery *** results demonstrate that the proposed models achieve an RMSE not exceeding 0.007 and an MAPE not exceeding 0.0082 for SOH and RUL prediction,with a relative error in RUL prediction within the range of[-1.8%,2%].Compared to other models,the proposed model not only exhibits superior fitting capability but also demonstrates robust performance.

关键词： State of health remaining useful life variational modal decomposition random forest twin support vector machine convolutional optimization algorithm

Exploration of Gas‑Dependent Self‑Adaptive Reconstruction Behavior of Cu_(2)O for Electrochemical CO_(2)Conversion to Multi‑Carbon Products

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Nano-Micro Letters 2025年第3期17卷 280-296页

作者： chaoran zhang Yichuan Gu Qu Jiang Ziyang Sheng Ruohan Feng Sihong Wang Haoyue zhang Qianqing Xu Zijian Yuan Fang Song State Key Laboratory of Metal Matrix Composites School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240People’s Republic of China

Structural reconstruction of electrocatalysts plays a pivotal role in catalytic performances for CO_(2)reduction reaction(CO_(2)RR),whereas the behavior is by far superficially ***,we report that CO_(2)accessibility results in a universal self-adaptive structural reconstruction from Cu_(2)O to Cu@CuxO composites,ending with feeding gas-dependent microstructures and catalytic *** CO_(2)-rich atmosphere favors reconstruction for CO_(2)RR,whereas the CO_(2)-deficient one prefers that for hydrogen evolution *** the assistance of spectroscopic analysis and theoretical calculations,we uncover a CO_(2)-induced passivation behavior by identifying a reductionresistant but catalytic active Cu(I)-rich amorphous layer stabilized by*CO ***,we find extra CO production is indispensable for the robust production of *** inverse correlation between durability and FECO/FEC2H4 is disclosed,suggesting that the selfstabilization process involving the absorption of*CO intermediates on Cu(I)sites is essential for durable *** by this insight,we design hollow Cu_(2)O nanospheres for durable and selective CO_(2)RR electrolysis in producing *** work recognizes the previously overlooked passivation reconstruction and self-stabilizing behavior and highlights the critical role of the local atmosphere in modulating reconstruction and catalytic processes.

关键词： CO_(2)reduction reaction Electrocatalysts Cu_(2)O Reconstruction Self-adaptive electrocatalysis