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Reversible Plasticity Shape Memory Effect in SEBS/Crystallizable Paraffin: Influence of Paraffin Content

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Chinese Journal of Polymer Science 2022年第12期40卷 1697-1705,I0011页

作者： Shao-quan Zhao Jia-Chun Feng State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular ScienceFudan UniversityShanghai 200433China Yiwu Research Institute of Fudan University Yiwu 322000China

Polymers with reversible plasticity shape memory effect(RPSME)have attracted considerable attention due to their simple programming and large ***,the exact mechanisms of RPSME are still not thoroughly *** this work,the RPSME of SEBS/crystallizable paraffin was investigated by comparatively analyzing the performances and microstructures of samples with different paraffin *** was found the shape fixing ratios(Rfs)of samples increased with the paraffin content,and interestingly,a significant improvement in Rf was observed when the paraffin content exceeded 60 wt%.Tensile test results showed that the deformation characteristics of samples changed from elastic to plastic as the paraffin content increased above 60 wt%.By exploring the crystallization behaviors of paraffin in various SEBS/paraffin samples,it was revealed that the microstructures of SEBS/paraffin were different when the paraffin content was below 50 wt%and above 60 wt%.In samples with low paraffin content(below 50 wt%),nearly all paraffin was co-crystallized with ethylene-co-butylene(EB)chains and its crystallization was severely restricted;while in samples with high paraffin content(above 60 wt%),“excess”paraffin appeared and this part of paraffin crystallized on the template of the EB/paraffin co-crystals,which might be responsible for the elastic-to-plastic transition and the sharp increase in *** on the above results,a possible structural model was proposed to explain the exact mechanism of RPSME in SEBS/paraffin.

关键词： Reversible plasticity shape memory effect Poly(styrene-b-(ethylene-co-butylene)-b-styrene) Crystallizable paraffin Paraffin content

Model-driven full system dynamics estimation of PMSM-driven chain shell magazine

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Defence Technology（防务技术） 2024年第9期39卷 147-156页

作者： Kai Wei Longmiao Chen quan Zou School of Mechanical Engineering NanJing University of Science and TechnologyNanjing210094China

Based on the system dynamic model, a full system dynamics estimation method is proposed for a chain shell magazine driven by a permanent magnet synchronous motor(PMSM). An adaptive extended state observer(AESO) is proposed to estimate the unmeasured states and disturbance, in which the model parameters are adjusted in real time. Theoretical analysis shows that the estimation errors of the disturbances and unmeasured states converge exponentially to zero, and the parameter estimation error can be obtained from the extended state. Then, based on the extended state of the AESO, a novel parameter estimation law is designed. Due to the convergence of AESO, the novel parameter estimation law is insensitive to controllers and excitation signal. Under persistent excitation(PE) condition, the estimated parameters will converge to a compact set around the actual parameter value. Without PE signal, the estimated parameters will converge to zero for the extended state. Simulation and experimental results show that the proposed method can accurately estimate the unmeasured states and disturbance of the chain shell magazine, and the estimated parameters will converge to the actual value without strictly continuous PE signals.

关键词： Chain shell magazine Full system dynamics estimation Disturbance estimation Parameter estimation Adaptive extended state observer

Polymeric complex micelle loaded with axially substituted silicon(Ⅳ) phthalocyanine

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Chinese Chemical Letters 2009年第5期20卷 627-630页

作者： Bao quan Huang College of Chemistry & Material Science Fujian Normal University Fuzhou 350007 China

A novel axially substituted silicon（IV） phthalocyanine, namely di-pyridyloxy axially substituted silicon（IV） phthalocyanine 2 was synthesized and characterized by UV/vis, IR, elemental analysis, MS as well as IH NMR spectroscopy. Hydrophobic 2 was encapsulated by amphiphilic triblock copolymer poly[N^e-（benzyloxycarbonyl-lysine]-poly（ethylene glycol）-poly [N^e-（benzyl oxycarbonyl）（PLL（Z）-b-PEG-b-PLL（Z）） to form hydrophobic 2-loaded polymeric complex micelle （PIC）（2-loaded P/C）. Atom force microscopy （AFM） image showed that 2-loaded PIC formed a spherical nanocarrier with approximately 35-50 nm in diameter. The fluorescence intensity and lifetime of 2-loaded PIC was significantly enhanced bv the incorporation 2 into PIC nanocarrier.

关键词： Axially substituted phthalocyanine Polymeric complex micelle Amphiphilic triblock copolymer

C–C formation mediated by photoinduced electrons from crystallized carbon nitride nanobelts under visible light irradiation

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Journal of Energy Chemistry 2019年第3期28卷 152-161页

作者： Qiaohui Jia Sufen Zhang quan Gu Key Laboratory of Applied Surface and Colloid Chemistry Ministry of Education School of Chemistry and Chemical Engineering Shaanxi Normal University

Crystal structure and crystallinity of carbon nitride support, size and dispersity of active-metal nanoparticles(NPs), and surface engineering of composites have great roles in generation and separation of photogenerated charge carries and photocatalyzed organic reactions for the conversion of solar energy into chemical energy. Herein, we deposited well-dispersed Pd NPs with small size on crystallized carbon nitride(CN–C) to construct a Schottky-type Pd/CN–C hybrid for photocatalyzed Ullmann C–C homocoupling of aryl halides under visible light irradiation at room temperature. Compared to Pd NPs supported g-C_3N_4(Pd/g-C_3N_4), Pd/CN–C exhibits excellent visible light photocatalytic activity for Ullmann C–C coupling of aryl halides due to high crystallinity of CN–C support, high dispersion and smaller size of Pd NPs, and the interfacial heterojunction of Pd/CN–C. Upon visible light irradiation, more photogenerated electrons from CN–C flow across the Schottky junction to metallic Pd and trigger the Ullmann C–C coupling of aryl halides. The photogenerated holes on CN–C surface are captured by a protic solvent(such as EtOH). In the presence of base K_2CO_3, the solvent undergoes dissociation, dehydrogenation, and finally can be oxidized by captured photogenerated holes. Moreover, Pd/CN–C has general applicability for various substrates and shows excellent stability and reusability for more than nine cycles.

关键词： Crystallized carbon nitride Pd nanoparticles Photocatalyst C–C coupling Ullmann reaction

Performance Modeling Based on GSPN for Cyberspace Mimic DNS

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Chinese Journal of Electronics 2020年第4期29卷 738-749页

作者： REN quan WU Jiangxing HE Lei Information Engineering University

Cyberspace mimic domain name system(CMDNS) adopts dynamic heterogeneous redundant architecture with strategic decision mechanism to control the effectiveness of uncertain *** is lack of methods to evaluate the availability and awareness security of *** further describe and analyze the characteristics of CMDNS accurately, the Generalized stochastic Petri net(GSPN) is used to model the attack disturbance and defense of mimic Domain name system(DNS), and the availability and awareness security of Dissimilar redundancy system(DRS) and mimic DNS under different disturbance intensities are *** compared the different effect of local service query and real network query on the average response *** results show that the introduction of mimic architecture will inevitably pay the corresponding delay cost which increase 9.3% compared with traditional local DNS, but it has little effect on the service which only increases by 1.9% compared with the DNS transmission delay at the network communication level.

关键词： Mimic defense Domain name system(DNS) Generalized stochastic Petri net(GSPN) Availability and awareness security Cost

Preparation and Characterization of Antibacterial Polyacrylonitrile-based Activated Carbon Fiber Supporting Nano-ZnO

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Chemical Research in Chinese Universities 2013年第5期29卷 1011-1015页

作者： LI quan-ming College of Quartermaster Science and Technology Jilin University Changchun 130062 P. R. China

Polyacrylonitrile（PAN）-based activated carbon fiber（PACF） supporting nano-ZnO（PACF/nano-ZnO） was prepared by spin, pretreatment, carbonization, and KOH chemical activation at an activation temperature of 950℃ for 40 min. Nano-ZnO content, distribution and antibacterial properties of the PACF/nano-ZnO were studied. The pore structure and surface properties of the PACF/nano-ZnO were studied by Brunauer-Emmett-Teller（BET）, N2/77 K isothermal adsorption. The specific surface area increased markedly after the activation process and it was several hundred times greater than that before the process. The PACF/nano-ZnO shows a strong adsorption for Staphylococ- cus aureus（S, aureus） and Escherichia coli（E, coli） and antibacterial activity against them. As an experimental result, antibacterial properties of PACF/nano-ZnO increased with increasing the concentration of nano-ZnO panicles, which suggests it is a promising antibacterial material.

关键词： Activated carbon fiber Carbon material Antibacterial activity Microstructure

A scheme to describe equilibrium dynamic states as phases in condensed matter systems

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Science China(Physics,Mechanics & Astronomy) 2023年第2期66卷 141-142页

作者： Hai-Tao quan School of Physics PekingUniversityBeijing100871China

How condensed matter exists in equilibrium is a fundamental question in *** textbook knowledge is constructed based on two key points:phase in denoting the homogeneous states of matter,and phase transition in marking ... 详细信息

关键词： equilibrium Figure condensed

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

DeepM6ASeq-EL:prediction of human N6-methyladenosine(m^(6)A)sites with LSTM and ensemble learning

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Frontiers of Computer Science 2022年第2期16卷 27-33页

作者： Juntao CHEN quan ZOU Jing LI Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610051China Hainan Key Laboratory for Computational Science and Application Hainan Normal UniversityHaikou 571158China College of Intelligence and Computing Tianjin UniversityTianjin 300350China

N6-methyladenosine(m^(6)A)is a prevalent methylation modification and plays a vital role in various biological processes,such as metabolism,mRNA processing,synthesis,and *** studies have suggested that m^(6)A modification is related to common diseases such as cancer,tumours,and ***,accurate prediction of methylation sites in RNA sequences has emerged as a critical issue in the area of ***,traditional high-throughput sequencing and wet bench experimental techniques have the disadvantages of high costs,significant time requirements and inaccurate identification of *** through the use of traditional experimental methods,researchers have produced many large databases of m^(6)A *** the support of these basic databases and existing deep learning methods,we developed an m^(6)A site predictor named DeepM6ASeq-EL,which integrates an ensemble of five LSTM and CNN classifiers with the combined strategy of hard *** to the state-of-the-art prediction method WHISTLE(average AUC 0.948 and 0.880),the DeepM6ASeq-EL had a lower accuracy in m^(6)A site prediction(average AUC:0.861 for the full transcript models and 0.809 for the mature messenger RNA models)when tested on six independent datasets.

关键词： N6-methyladenosine site prediction LSTM CNN ensemble learning