Improved AQPSO Algorithm for Solving the Model of the Skin Effect Electric Heating System

Ding Li,Ding Xinghua,Ren Weina,Lin Aiguo 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.5

In view of the importance of the skin-eff ect electric heat tracing system of the submarine oil pipeline in heating and condensation reduction, it is necessary to start from the skin electric heating mechanism and construct its complete mathematical model to realize the effi cient operation of the system. Aiming at the problem of unknown parameters in the model of the skin-eff ect electric heat tracing system, an improved adaptive quantum behaviour particle swarm optimization algorithm (AQPSO) based on the quantum behaviour particle swarm optimization algorithm is proposed, in order to eff ectively identify the model parameters. In the algorithm design, in view of the high dependence of the basic QPSO algorithm on the shrinkage and expansion coeffi cients, the particle aggregation factor is introduced, and the shrinkage and expansion coeffi cients are redesigned. In view of the diff erent proportions of the fi tness value of the individual optimal position, the weight coeffi cient is introduced to construct the best position of the average weight to realize the improvement of the basic QPSO algorithm. The simulation results show that the AQPSO algorithm has better performance than QPSO in terms of convergence accuracy and robustness. This algorithm not only overcomes the inherent premature defects of particle swarms, but also improves the accuracy of the algorithm and obtains accurate model parameters. It can be seen that the improved adaptive quantum behaviour particle swarm algorithm has certain feasibility and eff ectiveness in the parameter identifi cation of Hammerstein model.

Research on Deep-Sea Pipeline Tube Bundle Heating System

Li Ding,Xinghua Ding,Weina Ren,Yingying Mu,Aiguo Lin 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.6

In order to ensure the safety of deep-sea submarine pipelines, this paper focuses on the analysis of the axial temperature distribution model of the submarine pipeline and the distribution parameter circuit model of the tube bundle heating system. Combined with these two models, theoretical analysis shows that the heating eff ect of the tube bundle heating system depends on the distributed circuit parameters and power frequency of the system. In order to improve the heat tracing effi ciency, the power frequency needs to be adjusted according to the change of the load temperature, so the power supply frequency of the tube bundle heating system based on the Hammerstein model is optimized. Using a neuro-fuzzy algorithm, not only the theoretical values of heating power and power frequency are obtained, but also the drawbacks of determining the above parameters based on engineering experiments are avoided. Moreover, the pipeline heating is effi cient and stable, the dynamic response is fast, and the working condition is also well adapted.

Research and Implementation of U-Learning System Based on Experience API

Xinghua Sun,Yongfei Ye,Jie Yang,Li Hao,Lihua Ding,Haomin Song 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.3

Experience API provides a learner-centered model for learning data collection and learning process recording. In particular, it can record learning data from multiple data sources. Therefore, Experience API provides verygood support for ubiquitous learning. In this paper, we put forward the architecture of ubiquitous learningsystem and the method of reading the learning record from the ubiquitous learning system. We analyze students’learning behavior from two aspects: horizontal and vertical, and give the analysis results. The system canprovide personalized suggestions for learners according to the results of learning analysis. According to thefeedback from learners, we can see that this u-learning system can greatly improve learning interest and qualityof learners.

Intelligent On-demand Routing Protocol for Ad Hoc Network

Yongfei Ye,Xinghua Sun,Minghe Liu,Jing Mi,Ting Yan,Lihua Ding 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.5

Ad hoc networks play an important role in mobile communications, and the performance of nodes has asignificant impact on the choice of communication links. To ensure efficient and secure data forwarding anddelivery, an intelligent routing protocol (IAODV) based on learning method is constructed. Five attributes ofnode energy, rate, credit value, computing power and transmission distance are taken as the basis ofsegmentation. By learning the selected samples and calculating the information gain of each attribute, thedecision tree of routing node is constructed, and the rules of routing node selection are determined. IAODValgorithm realizes the adaptive evaluation and classification of network nodes, so as to determine the optimaltransmission path from the source node to the destination node. The simulation results verify the feasibility,effectiveness and security of IAODV.

Plasma extracellular vesicle delivery of miR-210-3p by targeting ATG7 to promote sepsis-induced acute lung injury by regulating autophagy and activating inflammation

Guang Li,Bo Wang,Xiangchao Ding,Xinghua Zhang,Jian Tang,Huiqing Lin 생화학분자생물학회 2021 Experimental and molecular medicine Vol.53 No.-

Extracellular vesicles (EVs) can be used for intercellular communication by facilitating the transfer of miRNAs from one cell to a recipient cell. MicroRNA (miR)-210-3p is released into the blood during sepsis, inducing cytokine production and promoting leukocyte migration. Thus, the current study aimed to elucidate the role of plasma EVs in delivering miR-210-3p in sepsis-inducedacute lung injury (ALI). Plasma EVs were isolated from septic patients, after which the expression of various inflammatory factors was measured using enzyme-linked immunosorbent assay. Cell viability and apoptosis were measured via cell counting kit-8 and flow cytometry. Transendothelial resistance and fluorescein isothiocyanate fluorescence were used to measure endothelial cellpermeability. Matrigel was used to examine the tubulogenesis of endothelial cells. The targeting relationship between miR-210-3p and ATG7 was assessed by dual-luciferase reporter assays. The expression of ATG7 and autophagy-related genes was determined to examine autophagic activation. A sepsis mouse model was established by cecal ligation and puncture (CLP)-induced surgery. The level of miR-210-3p was highly enriched in septic EVs. MiR-210-3p enhanced THP-1 macrophage inflammation, BEAS-2B cell apoptosis, and HLMVEC permeability while inhibiting angiogenesis and cellular activity. MiR-210-3p overexpression reduced ATG7 and LC3II/LC3I expression and increased P62 expression. Improvements in vascular density and autophagosome formation, increased ATG7 expression, and changes in the ratio of LC3II/LC3I were detected, as well as reduced P62 expression, in adenovirusanti-miR-210-3p treated mice after CLP injury. Taken together, the key findings of the current study demonstrate that plasma EVs carrying miR-210-3p target ATG7 to regulate autophagy and inflammatory activation in a sepsis-induced ALI model.

Microfluidic Synthesis of Hybrid Nanoparticles with Controlled Lipid Layers: Understanding Flexibility-Regulated Cell–Nanoparticle Interaction

Zhang, Lu,Feng, Qiang,Wang, Jiuling,Zhang, Shuai,Ding, Baoquan,Wei, Yujie,Dong, Mingdong,Ryu, Ji-Young,Yoon, Tae-Young,Shi, Xinghua,Sun, Jiashu,Jiang, Xingyu American Chemical Society 2015 ACS NANO Vol.9 No.10

<P>The functionalized lipid shell of hybrid nanoparticles plays an important role for improving their biocompatibility and <I>in vivo</I> stability. Yet few efforts have been made to critically examine the shell structure of nanoparticles and its effect on cell–particle interaction. Here we develop a microfluidic chip allowing for the synthesis of structurally well-defined lipid-polymer nanoparticles of the same sizes, but covered with either lipid-monolayer-shell (MPs, monolayer nanoparticles) or lipid-bilayer-shell (BPs, bilayer nanoparticles). Atomic force microscope and atomistic simulations reveal that MPs have a lower flexibility than BPs, resulting in a more efficient cellular uptake and thus anticancer effect than BPs do. This flexibility-regulated cell–particle interaction may have important implications for designing drug nanocarriers.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancac3/2015/ancac3.2015.9.issue-10/acsnano.5b05792/production/images/medium/nn-2015-05792e_0007.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nn5b05792'>ACS Electronic Supporting Info</A></P>

Sputum Transcriptomics Reveals FCN1+ Macrophage Activation in Mild Eosinophilic Asthma Compared to Non-Asthmatic Eosinophilic Bronchitis

Zhan Wenzhi,Luo Wei,Zhang Yulong,Xiang Keheng,Chen Xiaomei,Shen Shuirong,Huang Chuqing,Xu Tingting,Ding Wenbin,Chen Yuehan,Lin Mingtong,Pan Xinghua,Lai Kefang 대한천식알레르기학회 2024 Allergy, Asthma & Immunology Research Vol.16 No.1

Purpose: Eosinophilic asthma (EA) and non-asthmatic eosinophilic bronchitis (EB) share similar eosinophilic airway inflammation. Unlike EA, EB did not present airway hyperresponsiveness or airflow obstruction. We aimed to compare the mechanism underlying the different manifestations between EA and EB via sputum transcriptomics analysis. Methods: Induced-sputum cells from newly physician-diagnosed EA, EB patients, and healthy controls (HCs) were collected for RNA sequencing. Results: Bulk RNA sequencing was performed using sputum cells from patients with EA (n = 18), EB (n = 15) and HCs (n = 28). Principal component analysis revealed similar gene expression patterns in EA and EB. The most differentially expressed genes in EB compared with HC were also shared by EA, including IL4, IL5 IL13, CLC, CPA3, and DNASE1L3. However, gene set enrichment analysis showed that the signatures regulating macrophage activation were enriched in EA compared to EB. Sputum cells were profiled using single-cell RNA sequencing. FABP4+ macrophages, SPP1+ macrophages, FCN1+ macrophages, dendritic cells, T cells, B cells, mast cells, and epithelial cells were identified based on gene expression profiling. Analysis of cell-cell communication revealed that interactions between FCN1+ macrophages and other cells were higher in EA than in EB. A wealth of transforming growth factor beta (TGF-β) and vascular endothelial growth factor (VEGF) interactions between FCN1+ macrophages and other cells have been shown in EA. The gene expression levels of EREG, TGFBI, and VEGFA in FCN1+ macrophages of EA were significantly higher than those of EB. Furthermore, signatures associated with the response to TGF-β, cellular response to VEGF stimulus and developmental cell growth were enriched in FCN1+ macrophages of EA compared to those of EB. Conclusions: FCN1+ macrophage activation associated with airway remodeling processes was upregulated in EA compared to that in EB, which may contribute to airway hyperresponsiveness and airflow obstruction.