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A versatile synthetic strategy towards rare earth based metal-organic frameworks

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Science China Chemistry 2025年

作者： quan shi Yun-Hao Xu Ming-Hui Chen Peng Zhao Wen-Bo Deng Ji Xiong Kai Guo Ya-Qing Feng Bao Zhang School of Chemical Engineering and Technology Tianjin University Tianjin Collaborative Innovation Center of Chemical Science and Engineering Guangdong Laboratory Chemistry & Fine Chemical Industry Jieyang Center

Rare earth metal-organic frameworks (RE-MOFs) have drawn wide attention owing to diverse network structures and various application ***,due to the unpredictable formation of the nodes,it is still challenging to design novel RE-MOFs.A novel versatile strategy was developed employing a RE-acetate complex (RE2(CH3COO)6·4H2O) as a precursor to construct RE-MOFs.2D RE-MOFs (RE-DBP) and 3D RE-MOFs (RE-TCPP) could be obtained by using dicarboxylic porphyrin ligands H2DBP and tetracarboxylic porphyrin ligands H2TCPP,*** RE-MOFs were further synthesized to verify the universality of the *** crystalline RE-MOFs could also be prepared at room temperature via the developed strategy,which could significantly promote large-scale preparation and practical application of *** proof of the concept,the performance of porphyrin-based RE-MOFs was investigated in the photocatalytic cycloaddition of CO2with *** the RE-DBP(Co) MOFs,Tb-DBP(Co) exhibited the best photocatalytic performance,which was also greater than that of the corresponding 3D MOF Tb-TCPP(Co) due to the optimal 2D structure and thus the accelerated photogenerated charge separation and transfer *** work not only provides a novel versatile strategy to design and develop RE-MOFs,but also proposes a promising approach for the potential bulk production of RE-MOFs at room temperature.

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基于区块链的车联网跨域数据安全传输系统设计

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现代电子技术 2025年第1期48卷 71-79页

作者：陈晨王斓凯施佺南通大学信息化中心江苏南通226019 南通大学交通与土木工程学院江苏南通226019

为有效应对车联网系统在数据传输过程中的安全问题,提出一种基于区块链的车联网跨域数据安全传输系统。该系统将车联网安全数据传输过程划分为注册、安全通信与数据共享三个关键环节。在注册阶段,车辆和路边单元需要通过可信机构完成注... 详细信息

为有效应对车联网系统在数据传输过程中的安全问题,提出一种基于区块链的车联网跨域数据安全传输系统。该系统将车联网安全数据传输过程划分为注册、安全通信与数据共享三个关键环节。在注册阶段,车辆和路边单元需要通过可信机构完成注册,以确保其的身份合法性;在通信阶段,为了减少路边单元与车辆频繁认证,设计了跨域认证的方法,保障数据传输的可靠性和完整性,并引入假名来保护用户隐私;在共享阶段,文中设计了基于多线程遍历共享广播森林的事务广播算法,利用广度优先搜索思想建立广播森林,并使用多线程遍历进行数据事务广播传输。实验仿真结果显示,文中方案的签名计算成本减少70%,验证计算成本减少41%;其次,在ER模型下,相比使用Gossip协议进行事务数据传输,该方案中交通数据事务总时间降低了93%;在BA模型下降低了87%。

关键词：区块链车联网身份认证密钥协商广播森林数据安全传输系统

Key issues and progress of industrial big data-based intelligent blast furnace ironmaking technology

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International Journal of Minerals,Metallurgy and Materials 2023年第9期30卷 1651-1666页

作者： quan shi Jue Tang Mansheng Chu School of Metallurgy Northeastern UniversityShenyang 110819China Institute for Frontier Technologies of Low-carbon Steelmaking Northeastern UniversityShenyang 110819China Engineering Research Center of Frontier Technologies for Low-carbon Steelmaking(Ministry of Education) Shenyang 110819China

Blast furnace (BF) ironmaking is the most typical “black box” process, and its complexity and uncertainty bring forth great challenges for furnace condition judgment and BF operation. Rich data resources for BF ironmaking are available, and the rapid development of data science and intelligent technology will provide an effective means to solve the uncertainty problem in the BF ironmaking process. This work focused on the application of artificial intelligence technology in BF ironmaking. The current intelligent BF ironmaking technology was summarized and analyzed from five aspects. These aspects include BF data management, the analyses of time delay and correlation, the prediction of BF key variables, the evaluation of BF status, and the multi-objective intelligent optimization of BF operations. Solutions and suggestions were offered for the problems in the current progress, and some outlooks for future prospects and technological breakthroughs were added. To effectively improve the BF data quality, we comprehensively considered the data problems and the characteristics of algorithms and selected the data processing method scientifically. For analyzing important BF characteristics, the effect of the delay was eliminated to ensure an accurate logical relationship between the BF parameters and economic indicators. As for BF parameter prediction and BF status evaluation,a BF intelligence model that integrates data information and process mechanism was built to effectively achieve the accurate prediction of BF key indexes and the scientific evaluation of BF status. During the optimization of BF parameters, low risk, low cost, and high return were used as the optimization criteria, and while pursuing the optimization effect, the feasibility and site operation cost were considered *** work will help increase the process operator’s overall awareness and understanding of intelligent BF technology. Additionally, combining big data technology with the proces

关键词： BF ironmaking intelligent BF industrial big data machine learning integrated mechanism and data

Process metallurgy and data-driven prediction and feedback of blast furnace heat indicators

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International Journal of Minerals,Metallurgy and Materials 2024年第6期31卷 1228-1240页

The prediction and control of furnace heat indicators are of great importance for improving the heat levels and conditions of the complex and difficult-to-operate hour-class delay blast furnace(BF)*** this work,a prediction and feedback model of furnace heat indicators based on the fusion of data-driven and BF ironmaking processes was *** data on raw and fuel materials,process op-eration,smelting state,and slag and iron discharge during the whole BF process comprised 171 variables with 9223 groups of data and were comprehensively analyzed.A novel method for the delay analysis of furnace heat indicators was *** extracted delay variables were found to play an important role in *** method that combined the genetic algorithm and stacking efficiently im-proved performance compared with the traditional machine learning algorithm in improving the hit ratio of the furnace heat prediction *** hit ratio for predicting the temperature of hot metal in the error range of±10℃ was 92.4%,and that for the chemical heat of hot metal in the error range of±0.1wt%was 93.3%.On the basis of the furnace heat prediction model and expert experience,a feedback model of furnace heat operation was established to obtain quantitative operation suggestions for stabilizing BF heat *** sugges-tions were highly accepted by BF ***,the comprehensive and dynamic model proposed in this work was successfully ap-plied in a practical BF *** improved the BF temperature level remarkably,increasing the furnace temperature stability rate from 54.9%to 84.9%.This improvement achieved considerable economic benefits.

关键词： blast furnace furnace heat genetic algorithm stacking prediction and feedback

Visual interpretability for deep learning：a survey

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Frontiers of Information Technology & Electronic Engineering 2018年第1期19卷 27-39页

作者： quan-shi ZHANG Song-chun ZHU University of California Los Angeles California 90095 USA

This paper reviews recent studies in understanding neural-network representations and learning neural networks with interpretable/disentangled middle-layer *** deep neural networks have exhibited superior performance in various tasks,interpretability is always Achilles' heel of deep neural *** present,deep neural networks obtain high discrimination power at the cost of a low interpretability of their black-box *** believe that high model interpretability may help people break several bottlenecks of deep learning,e.g.,learning from a few annotations,learning via human–computer communications at the semantic level,and semantically debugging network *** focus on convolutional neural networks(CNNs),and revisit the visualization of CNN representations,methods of diagnosing representations of pre-trained CNNs,approaches for disentangling pre-trained CNN representations,learning of CNNs with disentangled representations,and middle-to-end learning based on model ***,we discuss prospective trends in explainable artificial intelligence.

关键词： Artificial intelligence Deep learning Interpretable model

HIGHLY SENSITIVE CATALASE ELECTRODE BASED ON POLYPYRROLE FILMS WITH MICROCONTAINERS

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Chinese Journal of Polymer Science 2006年第6期24卷 579-584页

作者： Yu-ying Gao Gao-quan shi Department of Chemistry Tsinghua University Beijing 100084 China

Highly sensitive catalase electrodes for sensing hydrogen peroxide have been fabricated based on polypyrrole films with microcontainers. The microcontainers have a cup-like morphology and are arranged in a density of 4000 units cm^-2. Catalase was immobilized into the polypyrrole films with microcontainers （Ppy-mc）, which were coated on a Pt substrate electrode. The catalase/Ppy-mc/Pt electrode showed linear response to hydrogen peroxide in the range of 0-18 mmol/L at a potential of-0.3 V （versus SCE）. Its sensitivity was measured to be approximately 3.64 μA （mmol/L） ^-1 cm^- 2, which is about two times that of the electrode fabricated from a flat Ppy film （catalase/Ppy-flat/Pt electrode）. The electrode is highly selective for hydrogen peroxide and its sensitivity is interfered by potential interferents such as ascorbic acid, urea and fructose. Furthermore, such catalase electrodes showed long-term storage stability of 15 days under dry conditions at 4℃.

关键词： Microstructured polypyrrole Catalase Electropolymerization Sensors Hydrogen peroxide.

An Enhanced Attribute Co-evolutionary Game Reduction Algorithm by Integrating Self-adaptive Multi-level Nash Equilibrium

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Chinese Journal of Electronics 2016年第1期25卷 13-19页

作者： DING Weiping GUAN Zhijin shi quan School of Computer Science and Technology Nantong University State Key Laboratory for Novel Software Technology Nanjing University

In order to further analyze the dynamical behavior of co-evolutionary populations in minimum attribute reduction, an Enhanced attribute co-evolutionary game reduction(EACGR) algorithm by integrating selfadaptive multi-level Nash equilibrium is proposed in this paper. First, a self-adaptive multi-level Nash game model with cross co-evolution is designed to provide the better solution for the dynamical symmetric co-evolution of multi-populations. Second, the profit matrix of elitist energy is constructed to explore the payoff mechanism of coevolutionary selection. And then a novel Nash equilibrium strategy is adopted to perform attribute co-evolutionary game reduction so that the admissible balance of attribute reduction can be well achieved. Experimental results indicate that EACGR has the higher performance of minimum attribute reduction, and the application into 3D brain MRI segmentation with promising results indicates its stronger robustness and practicability.

关键词： Cross co-evolutionary game Profit matrix of elitist energy Multi-level Nash equilibrium Minimum attribute reduction

Numerical simulation of slag layer and its distribution on hot surface of copper stave based on ANSYS birth-death element technology

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Journal of Iron and Steel Research International 2021年第5期28卷 507-519页

作者： quan shi Jue Tang Man-sheng Chu School of Metallurgy Northeastern UniversityShenyang 110819LiaoningChina Institute for Frontier Technologies of Low-Carbon Steelmaking Northeastern UniversityShenyang 110819LiaoningChina State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819LiaoningChina

The core of the long-life copper stave was to ensure the stability of the slag layer,and the uniform distribution of the slag layer was beneficial to restrict the generation of the overthick slag layer.A novel model for calculating the thickness and distribution of the slag layer in the part of copper stave was established based on the finite element theory through the ANSYS birth-death element *** distribution and thickness of the slag layer on the hot surface of copper stave were calculated and analyzed when the gas temperature and slag properties tended to be changed,which was applied to characterize the slag-hanging capability of copper stave with the changes of furnace *** was shown that the thickness of hot surface slag layer in the part of copper stave decreased obviously while the temperature of stave body raised rapidly with increasing gas *** the gas temperature was 1400℃,the inlaid slag layer was gradually melted,and the maximum temperature of the stave body was closed to 120℃.The change of gas temperature was very sensitive to the adherent dross capability of copper stave which would be enhanced by the promotion of slag-hanging ***,when the slag-hanging temperature was 1150℃and the gas temperature was lower than 1250℃,the overlhick slag layer was easily formed on the hot surface of the copper stave,and its stability was *** improvement in the thermal conductivity of slag could be conducive to the formation of the uniform and stable slag layer on the hot surface of copper stave,especially in the dovetail *** the thermal conductivity of the slag was greater than 1.8 W m^(-2)℃^(-1),the inlaid slag layer in the dovetail groove was not melted,although the gas temperature reached 1500℃.

关键词： Copper stave Heat transfer Birth-death element Numerical simulation Slag-hanging capability

Damage effect analysis and experiment for electronic equipment in impact vibration environment

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Journal of Systems Engineering and Electronics 2009年第6期20卷 1384-1388页

作者： shi quan Tian Juan Man Qiang Dept. of Management Engineering Shijiazhuang Mechanical Engineering Coll. Shijiazhuang 050003 P. R. China

This paper analyzes the electronic equipment＇s effect factors such as structure characteristics and *** radar equipment is taken as an experimental *** damage laws of electro-products in vibration environment are *** experiment shows that the damage of electro-products in vibration environment has relations with both the type and amplitude of vibration and their structure.

关键词： electro-product vibration environment damage effect.