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Stable IL- 1β-Activation in an Inflammasome Signalling Model Depends on Positive and Negative Feedbacks and Tight Regulation of Protein Production

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IEEE/ACM transactions on computational biology and bioinformatics 2019年第2期16卷 627-637页

作者： Fernando Lopez-Caamal Heinrich J Huber Chemical Engineering Department Universidad de Guanajuato Noria Alta s/n Guanajuato Guanajuato México Institute for Automation Engineering (IFAT) Laboratory for Systems Theory and Automatic Control Otto-von-Guericke University Magdeburg Magdeburg Germany

INTRODUCTION:NLRP3-dependent inflammasome signalling is a key pathway during inflammatory processes and its deregulation is implicated in several diseases. NLRP3-inflammasome pathway activation leads to the rapid, phosphorylation-driven NF$\kappa$κB-pathway signalling, subsequently proceeds via slower transcription/translation process for producing pro-enzymes, and finally leads to the medium-speed enzymatic activation of the central inflammatory mediator IL-$1\beta$1β[1] . We here were interested in how the timing of the rate-limiting step of transcription/translation and the presence of a positive and negative auto-regulation would pose conditions for meaningful and stable IL-$1\beta$1β-activation. METHODS:We extracted the essential topology of the inflammasome pathway network using a linear chain of first-order reaction and a second-order reaction for inhibitory feedback. We then performed an analytical treatment of the resulting ODE set to obtain closed-form formulae. We therefore looked for the steady states and characterized their stability by using a Jacobian-based, local analysis. We employed the Small Gain Theorem from control Theory as recently applied by us [2] and the Gershgorin Circle Theorem to obtain mathematically exact conditions for a positive ON state and stabilities for ON and OFF steady states. RESULTS:We identified an ON- and one OFF- steady state whose properties we characterized in terms of the kinetic parameters by closed-form formulae. We found that under the assumption of a first-order information flow through the network, the existence of a biologically reasonable ON steady state required the simultaneous presence of the positive and the negative feedback. Assuming non-competitivity between IL-$1\beta$1β entities binding to different receptors, we found that a minimum kinetics for protein production is required to sustain a steady state with IL-$1\beta$1β activation. Assuming competitivity between IL-$1\beta$1β entities introduced additio

关键词： Steady State Proteins Biological System Modeling Negative Feedback Production Mathematical Model NLRP 3 Inflammasome IL-1 Z_$\beta$_Z β Interleukin 1 Local Stability Analysis Steady States Stability Positive Feedback Negative Feedback Synthetic Biology

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Influence of remelting sequence on defect generation and high-temperature mechanical properties in laser powder bed fusion of IN718 alloys

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Additive Manufacturing 2025年

作者： Fuzhong Chu Shun Wu Haopeng Shen Hongyu Yan Yaping Wu Xianfa Xu Hao Zhang Aijun Huang Ruiping Zou Xinhua Wu Zongyan Zhou ARC Research Hub for Smart Process Design and Control Department of Chemical and Biological Engineering Monash University Clayton VIC 3800 Australia Monash Centre for Additive Manufacturing Monash University Notting Hill VIC 3168 Australia School of Iron and Steel Soochow University Suzhou 215021 China Jiangxi Provincial Key Laboratory for Simulation and Modelling of Particulate Systems Jiangxi University of Science and Technology Nanchang Campus Jiangxi 330013 China Faculty of Materials and Manufacturing Beijing University of Technology Beijing China

The laser multiple melting strategy is commonly employed in the laser powder bed fusion (LPBF) process to reduce porosity levels and optimize mechanical properties. However, the influence of the temporal sequences of energy input has received limited attention, despite their potential to control defect generation and microstructure evolution. Therefore, in this work, two specific remelting sequences were investigated, referred to here as the preheating strategy (a low-energy first scan followed by a high-energy second scan) and the remelting (a high-energy first scan followed by a low-energy second scan) strategy. The findings indicated that defect generation and surface roughness are highly sensitive to variations in the remelting sequences, demonstrating that samples subjected to the remelting strategy exhibit significantly lower porosity levels. The simulations revealed that the defects in the preheating strategy originate from insufficient melting between layers and rough top surfaces caused by inadequate melt pool flow. Additionally, the samples subjected to the remelting strategy exhibited superior high-temperature mechanical properties, with an ultimate tensile strength of 959.7 MPa, yield strength of 792 MPa, and outstanding elongation of 23.1% along the building direction after heat treatment. This enhancement was attributed to the increased geometrically necessary dislocation density induced by fine carbides measuring 0.9 μm. This study offers valuable insights into the laser multiple melting process, providing a foundation for future research aimed at optimizing mechanical properties in the LPBF process.

关键词： laser powder bed fusion remelting sequence defect generation simulation high-temperature mechanical property

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Direct Synthesis of High Silica Ssz-16 Zeolite with Extraordinarily Superior Performance in Nh3-Scr Reaction

SSRN

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SSRN 2023年

作者： Han, Shichao Rao, Wei Hu, Junyi Tang, Xiaomin Ma, Ye Du, Jinpeng Liu, Zhongqi Wu, Qinming Ma, Yanhang Meng, Xiangju Shan, Wenpo Xiao, Feng-Shou He, Hong Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences Xiamen361021 China Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control Ningbo Urban Environment Observation and Research Station Institute of Urban Environment Chinese Academy of Sciences Ningbo315800 China State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics National Center for Magnetic Resonance in Wuhan Key Laboratory of Magnetic Resonance in Biological Systems Wuhan Institute of Physics and Mathematics Innovation Academy for Precision Measurement Science and Technology Chinese Academy of Sciences Wuhan430071 China School of Physical Science and Technology Shanghai Key Laboratory of High-resolution Electron Microscopy ShanghaiTech University Shanghai201210 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing100085 China College of Chemical and Biological Engineering Zhejiang University Hangzhou310027 China Key Lab of Applied Chemistry of Zhejiang Province Department of Chemistry Zhejiang University Hangzhou310007 China

The development of Cu ion-exchanged small-pore zeolites with excellent performance and high hydrothermal stability in NH3-SCR reaction is of great importance. However, many frameworks of the small-pore zeolites are Al-rich, for instance, Cu-SSZ-16 zeolite with Si/Al ratio always no more than 5, showing relatively low hydrothermal stability. In this work, inspired by theoretical calculation for the interaction between organic structural directing agents (OSDAs) and zeolite framework, high silica SSZ-16 zeolite with Si/Al ratio at 6.7 was directly synthesized using an economical diquaternary alkylammonium cation as an OSDA. After exchanged with Cu ion, the Cu-SSZ-16 catalyst shows extraordinarily superior performance in NH3-SCR reaction even after hydrothermal aging at 900 °C. The designed synthesis combined with excellent performance as well as high hydrothermal stability of the high silica SSZ-16 zeolite might provide an attractive alternative candidate for NH3-SCR catalyst on diesel vehicles and non-road mobile machinery in the future. © 2023, The Authors. All rights reserved.

关键词： Zeolites

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ILC Based Economic Batch-to-Batch Optimization for Batch Processes

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IFAC-PapersOnLine 2018年第18期51卷 768-773页

作者： Lu P. Chen J. Xie L. State Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University China Department of Chemical Engineering Chung-Yuan Christian University Chung-Li Taoyuan 32023 China

The control strategies for batch processes in the past can be categorized into two levels. The higher level is economic optimization running at low frequency and the lower one tracks the given reference using MPC or PID at the higher level. The lower level regards all the disturbances as something to be rejected according to a quadratic based optimization objective. However, not all the disturbances are unfavorable to batch processes; some of them are helpful. In this paper, an economic batch-to-batch optimization method for batch processes is directly applied at the lower level. It replaces the former tracking strategy. With the information of disturbances collected from the previous batches, the iterative learning control strategy (ILC) can find out better operation profiles. ILC has the advantage of continuously improving the economic performance of the current batch with enriched information of disturbances from batch to batch. To demonstrate the potential applications of the proposed design method, a typical fed-batch bioreactor is applied. © 2018

关键词： batch process batch-to-batch economic optimization iterative learning control

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The Prediction of the Epidemic Trend of COVID-19 Using Neural Networks

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IFAC-PapersOnLine 2020年第5期53卷 857-862页

作者： Jing Yang Zhen Shen Xisong Dong Xiuqin Shang Wei Li Gang Xiong J. Yang is with the State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China and also with College of Information Sciences & Technology Beijing University of Chemical Technology Beijing 100029 China. Z. Shen is with the State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China and also with the Intelligent Manufacturing Center Qingdao Academy of Intelligent Industries Qingdao Shandong 266113 China. X. Dong X. Shang and W. Li are with the State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China. G. Xiong is with Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing 100190 China and also with the Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Dongguan Guangdong 523808 China.

In this paper, a BP neural network and an LSTM network are applied respectively to the prediction of Coronavirus Disease 2019 (COVID-19) in Wuhan, China and South Korea. The methods do not require specific theories of modelling and the predicted values can be obtained as long as the conventional parameters are set. The mean absolute percentage error (MAPE) of all the experiments are below 5% and the values of the determinable coefficient R are all larger than 0.9. The experiments show that the models can fit the actual values well and make relatively accurate predictions. As of March 29, 2020, the cumulative number of confirmed cases in Wuhan is expected to reach 50,068 using BP neural networks and 49,972 using LSTM network, respectively. As of April 13, 2020, the cumulative number of confirmed cases in South Korea is expected to reach 8,862 using BP neural networks and 8,716 using LSTM network, respectively. The models of neural networks are effective in predicting the trend of the COVID-19 epidemic, which is meaningful to prevent and control the epidemic.

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[email protected] 2 heterostructure as a highly efficient coreaction accelerator of electrocheluminescence for amplified immunosensing of DNA methylation

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Biosensors and Bioelectronics 2023年 222卷

作者： Yao Shi Jie Wu Wenxin Wu Nini Luo Hao Huang Yuhui Chen Jun Sun Qian Yu Hang Ao Qiqi Xu Xiaotian Wu Qianfeng Xia Huangxian Ju Key Laboratory of Tropical Translational Medicine of Ministry of Education NHC Key Laboratory of Tropical Disease Control School of Tropical Medicine and the Second Affiliated Hospital Hainan Medical University Haikou Hainan 571199 China State Key Laboratory of Analytical Chemistry for Life Science School of Chemistry and Chemical Engineering Nanjing University Nanjing 210023 China Research & Development Center Canon Medical Systems (China) Co. LTD Beijing 100015 China

Electrocheluminescence analysis amplified by coreaction accelerators has experienced breakthrough in ultrasensitive detection of biomarkers. Herein, a highly efficient coreaction accelerator, two-dimensional layered MoSe 2 nanosheets loaded with gold nanoparticles ( [email protected] 2 heterostructure), is proposed to enhance the ECL efficiency of Ru(bpy) 3 2+ /tripropylamine (TPrA) system. The presence of AuNPs avoids the aggregation of MoSe 2 nanosheets, and improves the electrical conductivity of modified surface. The [email protected] 2 modified electrode also provides a large area for loading of abundant capture probe. MoSe 2 as an electroactive substrate can remarkably accelerate the generation of TPrA •+ radicals to react with electrooxidized Ru(bpy) 3 2+ , which achieves about 3.4-fold stronger ECL intensity. Thus, an enhanced ECL immunoassay method can be achieved after Ru(bpy) 3 2+ -doped silica nanoparticle labeled antibody (Ab 2 [email protected] 2 ) is captured to the modified electrode via immunological recognition. Using methylated DNA as a target, the immunosensor was prepared by binding capture DNA on [email protected] 2 modified electrode to successively capture the target, anti-5-methylcytosine antibody (anti-5mC) and Ab 2 [email protected] 2 . The proposed strategy could detect 0.26 fM 5 mC (3σ) with a detectable concentration range of 1.0 fM - 10 nM at methylated DNA. This immunosensor showed excellent selectivity, good stability and reproducibility, and acceptable recovery, indicating the broad prospects of the novel coreaction accelerator in clinical diagnosis.

关键词： Electrochemiluminescence Biosensors Coreaction accelerator [email protected] 2 heterostructures Immunosensors DNA methylation

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Detection of toluene at ppb levels using Au catalyst supported on Al-doped ZnO

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Journal of Environmental chemical engineering 2025年第4期13卷

作者： Jiali Hong Keyu Chen Kaiping Yuan Mingyue Lin Qi Cao Jialong Lin XinLin Wang Xiaoqian Bai Tamao Ishida Toru Murayama Guangli Xiu State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process Shanghai Environmental Protection Key Laboratory on Environmental Standard and Risk Management of Chemical Pollutants School of Resources and Environmental Engineering East China University of Science and Technology Shanghai 200237 PR China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092 PR China Department of Chemistry Fudan University Shanghai 200433 China Frontier Institute of Chip and System State Key Laboratory of Integrated Chips and Systems Fudan University Shanghai 200433 China Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and Environment Southeast University Nanjing 210096 China Research Center for Artificial Photosynthesis (ReCAP) Osaka Metropolitan University 3-3-138 Sugimoto Sumiyoshi-ku Osaka 558-8585 Japan Institute for Catalysis Hokkaido University Kita21 Nishi10 Kita-ku Sapporo Hokkaido 001-0021 Japan

Toluene, a carcinogen widely used in industrial production, necessitates precise detection for environmental and human safety. The semiconductor gas sensor is an efficient and portable test instrument, but most semiconductor gas sensors face the challenge of high detection limit and low sensitivity when detecting trace levels of toluene. Herein, aluminum-doped zinc oxide supported gold nanoparticles (Au/ZnO-Al) material with a small Au nanoparticle size ( d  = 2.80 ± 0.70 nm) was prepared by the deposition precipitation method. Au/ZnO-Al sensor can detect ppb-level toluene with a low detection limit of 1.1 parts per billion (ppb). Additionally, Au/ZnO-Al sensor also shows high response value of 18.3 and excellent selectivity towards 5 parts per million (ppm) toluene at 275 ℃. Meanwhile, Au/ZnO-Al sensor exhibits excellent reproducibility with no significant change in the resistance over five consecutive cycles of the same concentration of 3 ppm and 500 ppb toluene. The developed Au/ZnO-Al sensor can improve the performance of toluene mainly ascribed to the perimeter interface between Au nanoparticles and ZnO as well as the formation of Schottky junction. Furthermore, the co-effect of Au deposition and Al doping significantly increases the amount of adsorbed oxygen, which is beneficial for enhancing the sensing response. Hence, the Au/ZnO-Al sensor has great potential in detecting trace toluene for human safety.

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Size-induced axial segregation of binary mixtures in rotating drum of different lengths

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chemical engineering Science 2025年 316卷

作者： He, Jielong Wang, Yuelei Yang, Liuyimei Xu, Jin Zheng, Qijun Liu, Sida Zhou, Zongyan Jiangxi Provincial Key Laboratory of Particle Technology Jiangxi University of Science and Technology Nanchang330013 China Research Centre for Intelligent Mineral Processing & Metallurgy International Institute for Innovation Jiangxi University of Science and Technology Nanchang330013 China Ganjiang Innovation Academy Chinese Academy of Sciences Ganzhou341000 China Centre for Simulation and Modelling of Particulate Systems Monash-Southeast University Joint Research Institute Suzhou215123 China ARC Research Hub for Smart Process Design and Control Department of Chemical and Biological Engineering Monash University MelbourneVIC3800 Australia

This study investigates the size-induced axial segregation of binary mixtures in rotating drums, particularly focusing on the effect of drum length. The results indicate that long drums require more time to achieve stable segregation and form more segregation bands. The core region under the free bed surface remains predominantly filled with small particles, indicating that radial segregation occurs simultaneously with the axial segregation. The angle of repose of large particle bands is consistently greater than that of small particle bands, which drives the migration of large particles. Short drums are more sensitive to changes in rotational speed, while long drums with moderate rotational speed promote the formation of segregation bands. The width of small particle bands shows an increasing–decreasing-stabilizing trend with the drum length increasing. An analysis of particle velocities reveals that the characteristics of segregation bands are closely related to the relative velocity difference between large and small particles. © 2025 Elsevier Ltd

关键词： Binary mixtures

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An exploratory study of three-dimensional MP-PIC-based simulation of bubbling fluidized beds with and without baffles

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Particuology 2018年第4期16卷 68-77页

作者： Shuai Yang Hao Wu Weigang Lin Hongzhong Li Qingshan Zhua State Key Laboratory of Multi-phase Complex Systems Institute of Process Engineering Chinese Academy of Sdences P.O. Box 353 Beijing 100190 China State Key Laboratory of Safety and Control for Chemicals SINOPEC Research Institute of Safety Engineering Qingdao 266071 China Department of Chemical and Biochemical Engineering Technical University of Denmark DK-2800 Kongens Lyngby Denmark Sino-Danish College University of Chinese Academy of Sciences Beijing 100049 China

In this study, the flow characteristics of Geldart A particles in a bobbling fluidized bed with and without perforated plates were simulated by the multiphase particle-in-cell （MP-PlC）-based Eolerian-Lagrangian method. A modified structure-based drag model was developed based on our previous work. Other drag models including the Parker and Wen-Yo-Ergon drag models were also employed to investigate the effects of drag models on the simulation results. Although the modified structure-based drag model better predicts the gas-solid flow dynamics of a baffle-free bubbling fluidized bed in comparison with the experimental data, none of these drag models predict the gas-solid flow in a baffled bobbling floidized bed sufficiently well because of the treatment of baffles in the Barracuda software. To improve the simulation accuracy, future versions of Barracuda should address the challenges of incorporating the bed height and the baffles.

关键词： BaffleGeldart A particles Bubbling fluidized beds Simulation Multi-phase particle-in-cell Computational particle fluid dynamics

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Simultaneous state and parameter estimation: The role of sensitivity analysis

arXiv

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arXiv 2020年

作者： Liu, Jianbang Gnanasekar, Aristarchus Zhang, Yi Bo, Song Liu, Jinfeng Hu, Jingtao Zou, Tao Key Laboratory of Networked Control Systems Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institute for Robotics & Intelligent Manufacturing Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Department of Chemical & Materials Engineering University of Alberta EdmontonABT6G 1H9 Canada Key Laboratory of Energy Thermal Conversion & Control Southeast University Nanjing210096 China School of Mechanical and Electrical Engineering Guangzhou University Guangzhou510006 China

State and parameter estimation is essential for process monitoring and control. Observability plays an important role in both state and parameter estimation. In simultaneous state and parameter estimation, the parameters are often augmented as extra states of the original system. When the augmented system is observable, various existing state estimation approaches may be used to estimate the states and parameters simultaneously. However, when the augmented system is not observable, how we should proceed to maximally extract the information contained in the measured outputs is not clear. This paper concerns about simultaneous state and parameter estimation when the augmented system is not fully observable. Specifically, we first show how sensitivity analysis is related to observability of a dynamical system, and then illustrate how it may be used to select variables for simultaneous estimation. We also propose a moving horizon state estimation (MHE) design that can use the variable selection results in a natural way. Extensive simulations are carried out to show the efficiency of the proposed approach. Copyright © 2020, The Authors. All rights reserved.

关键词： Sensitivity analysis

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