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Hou Fei,Wang Huan,Zheng Kun,Yang Wenting,Xiao Kun,Rong Zihan,Xiao Junjie,Li Jing,Cheng Baihe,Tang Li,Xie Lixin 대한면역학회 2023 Immune Network Vol.23 No.3
In acute lung injury, two subsets of lung macrophages exist in the alveoli: tissue-resident alveolar macrophages (AMs) and monocyte-derived alveolar macrophages (MDMs). However, it is unclear whether these 2 subsets of macrophages have different functions and characteristics during the recovery phase. RNA-sequencing of AMs and MDMs from the recovery period of LPS-induced lung injury mice revealed their differences in proliferation, cell death, phagocytosis, inflammation and tissue repair. Using flow cytometry, we found that AMs showed a higher ability to proliferate, whereas MDMs expressed a larger amount of cell death. We also compared the ability of phagocytosing apoptotic cells and activating adaptive immunity and found that AMs have a stronger ability to phagocytose, while MDMs are the cells that activate lymphocytes during the resolving phase. By testing surface markers, we found that MDMs were more prone to the M1 phenotype, but expressed a higher level of pro-repairing genes. Finally, analysis of a publicly available set of single-cell RNA-sequencing data on bronchoalveolar lavage cells from patients with SARS-CoV-2 infection validated the double-sided role of MDMs. Blockade of inflammatory MDM recruitment using CCR2−/− mice effectively attenuates lung injury. Therefore, AMs and MDMs exhibited large differences during recovery. AMs are long-lived M2-like tissue-resident macrophages that have a strong ability to proliferate and phagocytose. MDMs are a paradoxical group of macrophages that promote the repair of tissue damage despite being strongly pro-inflammatory early in infection, and they may undergo cell death as inflammation fades. Preventing the massive recruitment of inflammatory MDMs or promoting their transition to pro-repairing phenotype may be a new direction for the treatment of acute lung injury.
Factors governing dynamic response of steel-foam ceramic protected RC slabs under blast loads
Xiaomeng Hou,Kunyu Liu,Shaojun Cao,Qin Rong 국제구조공학회 2019 Steel and Composite Structures, An International J Vol.33 No.3
Foam ceramic materials contribute to the explosion effect weakening on concrete structures, due to the corresponding excellent energy absorption ability. The blast resistance of concrete members could be improved through steel-foam ceramics as protective cladding layers. An approach for the modeling of dynamic response of steel-foam ceramic protected reinforced concrete (Steel-FC-RC) slabs under blast loading was presented with the LS-DYNA software. The orthogonal analysis (five factors with five levels) under three degrees of blast loads was conducted. The influence rankings and trend laws were further analyzed. The dynamic displacement of the slab bottom was significantly reduced by increasing the thickness of steel plate, foam ceramic and RC slab, while the displacement decreased slightly as the steel yield strength and the compressive strength of concrete increased. However, the optimized efficiency of blast resistance decreases with factors increase to higher level. Moreover, an efficient design method was reported based on the orthogonal analysis.
Yang, Ji-Min,Hou, Guang-Yue,Ding, Tian-Rong,Kou, Peng Korean Chemical Society 2010 대한화학회지 Vol.54 No.3
NaCl-$CaCl_2$-$H_2O$와 KCl-$CaCl_2$-$H_2O$계의 용해도와 물리화학적 성질(굴절률)을 $50^{\circ}C$에서 측정하였으며, 그 결과를 상평형 그림과 조성에 따른 물리화학적 성질에 대한 도표로 나타내었다. 삼성분계의 상 평형 그림은 불변점이 하나, 일변수 곡선이 둘, NaCl (또는 KCl) 및 $CaCl_2{\cdot}2H_2O$에 대응되는 결정화 지역이 두 개가 있음을 보여주었다. 이들 계에 대하여 혼합 파라미터인 ${\theta}_{M,Ca}$와 ${\Psi}_{M,Ca,Cl}$ (M = Na or K), 평형상수 $K_{sp}$를 최소제곱법을 이용하여 결정하였으며, 이때, NaCl, KCl 및 $CaCl_2$의 단일-염 Pitzer 파라미터 ${\beta}^{(0)}$, ${\beta}^{(1)}$, ${\beta}^{(2)}$ and $C^{\Phi}$는 참고문헌을 통하여 직접 계산하였다. 이 결과들은 실험결과와 잘 일치하였다. The solubility and the physicochemical property (refractive index) in the NaCl-$CaCl_2$-$H_2O$ and KCl-$CaCl_2$-$H_2O$ systems were determined at $50^{\circ}C$ and the phase diagrams and the diagrams of physicochemical property vs composition were plotted. One invariant point, two univariant curves, and two crystallization zones, corresponding to sodium Chloride (or potassium chloride), dihydrate ($CaCl_2{\cdot}2H_2O$) showed up in the phase diagrams of the ternary systems. The mixing parameters ${\theta}_{M,Ca}$ and ${\Psi}_{M,Ca,Cl}$ (M = Na or K) and equilibrium constant $K_{sp}$ were evaluated in NaCl-$CaCl_2-H_2O$ and KCl-$CaCl_2-H_2O$ systems by least-squares optimization procedure, in which the single-salt Pitzer parameters of NaCl, KCl and $CaCl_2$ ${\beta}^{(0)}$, ${\beta}^{(1)}$, ${\beta}^{(2)}$ and $C^{\Phi}$ were directly calculated from the literature. The results obtained were in good agreement with the experimental data.
Lingfang Li,Yao Du,Rong-rong Hou,Xiaoyou Wang,Wei Tian,Yong Xia 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.29 No.1
The raw data collected by structural health monitoring (SHM) systems may suffer multiple patterns of anomalies, which pose a significant barrier for an automatic and accurate structural condition assessment. Therefore, the detection and classification of these anomalies is an essential pre-processing step for SHM systems. However, the heterogeneous data patterns scarce anomalous samples and severe class imbalance make data anomaly detection difficult. In this regard, this study proposes a convolutional neural network-based data anomaly detection method. The time and frequency domains data are transferred as images and used as the input of the neural network for training. ResNet18 is adopted as the feature extractor to avoid training with massive labelled data. In addition, the focal loss function is adopted to soften the class imbalance-induced classification bias. The effectiveness of the proposed method is validated using acceleration data collected in a long-span cable-stayed bridge. The proposed approach detects and classifies data anomalies with high accuracy.
Wenling Chen,Yong Jiang,Rong Qiu,Wu Xu,Yanbei Hou 한국고분자학회 2020 Macromolecular Research Vol.28 No.1
Dense smoke released during the combustion of polystyrene (PS) potentially limits its applications in some fields. In this study, a Zr-based metal-organic framework (UiO-66) was prepared via the solvothermal method and added to PS to suppress its smoke emission. Well-defined UiO-66 particles showed an excellent dispersion state and good compatibility in the PS matrix. The introduction of UiO-66 improved the flame retardancy and smoke suppression of PS. The peak heat-release rate and total heat release were reduced by 26.8% and 14.7%, respectively, for PS/ UiO-66-5 wt%. Moreover, the smoke emissions of PS composites were evidently suppressed, and more than a 35% reduction in total smoke production was obtained with 5-wt% UiO-66. Through the analysis of the residues and pyrolysis products of PS composites, the mechanisms of enhanced flame retardancy and smoke suppression can being speculated as the promoted char-forming and heat barrier of UiO-66. This work offers a significant reference for the further study of UiO-66 and polymer materials.
Computer vision-based displacement measurement with m-sequence target
Yi-Ding Hu,Qi Xia,Rong-rong Hou,Yong Xia,Jian-yi Yan 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.27 No.3
The development of image sensors enables the application of vision-based techniques to the non-contact displacement measurement of large-scale structures. The features of the physical targets are critical to the accuracy, stability and anti-interference of the displacement measurement results. In this study, a novel m-sequence target and the associated circular correlation processing technique are developed for real-time displacement measurement. The properties of the m-sequence as a pseudo-random sequence are introduced. The vision-based displacement calculation method is then derived from the correlation property of the m-sequence. The algorithms and measurement systems are integrated in the LabVIEW environment. To verify the anti-interference performance of the developed system, static and dynamic experimental tests are carried out with various forms of interference, such as partial occlusion, uneven illumination, out of focus and smoke effect. Experimental results indicate that the developed system cannot only accurately measure structural displacement, but also has outstanding antiinterference performance, even if 30% of the target is masked.