Search Results - "Jiao, Zeren"

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  1. 1

    Recent application of Computational Fluid Dynamics (CFD) in process safety and loss prevention: A review by Shen, Ruiqing, Jiao, Zeren, Parker, Trent, Sun, Yue, Wang, Qingsheng

    “…In recent years, significant progress has been made to ensure that process industries are among the safest workplaces in the world. However, with the…”
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  2. 2

    Characterization and anti-tumor bioactivity of astragalus polysaccharides by immunomodulation by Li, Wenfang, Hu, Xueyan, Wang, Shuping, Jiao, Zeren, Sun, Tongyi, Liu, Tianqing, Song, Kedong

    “…APS exhibited in vitro and in vivo anti-tumor activity targeted macrophages and host immune system via immunoregulation. [Display omitted] •APS was…”
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  3. 3

    Review of recent developments of quantitative structure-property relationship models on fire and explosion-related properties by Jiao, Zeren, Escobar-Hernandez, Harold U., Parker, Trent, Wang, Qingsheng

    “…Knowledge of fire and explosion-related properties of substances including flammability limits, minimum ignition energies, and flash points are critical in…”
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  4. 4

    Thermal hazard analysis of inorganic peroxide initiators with varying water concentrations by Wang, Wenhe, Su, Wei, Jiao, Zeren, Wang, Qingsheng

    “…Inorganic peroxide (IP) initiators are widely used as initiators in polymerization reactions. However, if IP initiators are in contact with water due to…”
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  5. 5

    Toxicological evaluation of ionic liquid in a biological functional tissue construct model based on nano-hydroxyapatite/chitosan/gelatin hybrid scaffolds by Zhu, Jingjing, Kong, Qian, Zheng, Shuangshuang, Wang, Yiwei, Jiao, Zeren, Nie, Yi, Liu, Tianqing, Song, Kedong

    “…The application of ionic liquid is attracting more attentions as green replacement for volatile organic solvents. However, the toxic effects and risks of ionic…”
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  6. 6

    Decellularized Pig Kidney with a Micro-Nano Secondary Structure Contributes to Tumor Progression in 3D Tumor Model by Yang, Shuangjia, Zheng, Le, Chen, Zilong, Jiao, Zeren, Liu, Tianqing, Nie, Yi, Kang, Yue, Pan, Bo, Song, Kedong

    Published in Materials (04-03-2022)
    “…In spite of many anti-cancer drugs utilized in clinical treatment, cancer is still one of the diseases with the highest morbidity and mortality worldwide,…”
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  7. 7

    Fabrication and Cell Responsive Behavior of Macroporous PLLA/Gelatin Composite Scaffold with Hierarchical Micro-Nano Pore Structure by Song, Kedong, Ji, Lili, Zhang, Jingying, Wang, Hai, Jiao, Zeren, Mayasari, Lim, Fu, Xiaoyan, Liu, Tianqing

    Published in Nanomaterials (Basel, Switzerland) (25-03-2015)
    “…Scaffolds providing a 3D environment which can effectively promote the adhesion, proliferation and differentiation of cells are crucial to tissue regeneration…”
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  8. 8

    Machine Learning and Deep Learning in Chemical Health and Safety: A Systematic Review of Techniques and Applications by Jiao, Zeren, Hu, Pingfan, Xu, Hongfei, Wang, Qingsheng

    Published in ACS Chemical Health & Safety. (23-11-2020)
    “…Machine learning (ML) and deep learning (DL) are a subset of artificial intelligence (AI) that can automatically learn from data and can perform tasks such as…”
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  9. 9

    Prediction of methane hydrate formation conditions in salt water using machine learning algorithms by Xu, Hongfei, Jiao, Zeren, Zhang, Zhuoran, Huffman, Mitchell, Wang, Qingsheng

    Published in Computers & chemical engineering (01-08-2021)
    “…•Five machine learning models were established to predict formation conditions of methane hydrates in salt water.•Phase equilibrium data of methane hydrates in…”
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  10. 10

    Characteristics of fire and smoke in the natural gas cabin of urban underground utility tunnels based on CFD simulations by Wang, Wenhe, Zhu, Zhengxiang, Jiao, Zeren, Mi, Hongfu, Wang, Qingsheng

    “…•Smoke movement in urban underground utility tunnels are investigated.•Effects of ventilation mode and fire source on smoke movement are analyzed.•Fire in…”
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  11. 11

    A numerical study on the optimization of ventilation mode during emergency of cable fire in utility tunnel by Mi, Hongfu, Liu, Yaling, Jiao, Zeren, Wang, Wenhe, Wang, Qingsheng

    “…Recently utility tunnel fire safety is attracting more and more attention with the utility tunnel springing up in major cities of China. To cope with fires in…”
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  12. 12

    Development of Solubility Prediction Models with Ensemble Learning by Hu, Pingfan, Jiao, Zeren, Zhang, Zhuoran, Wang, Qingsheng

    “…The solubility parameter is widely used to select suitable solvents for polymers in the polymer-processing industry. In this study, we established a Hildebrand…”
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  13. 13

    Development of Flammable Dispersion Quantitative Property–Consequence Relationship Models Using Extreme Gradient Boosting by Jiao, Zeren, Sun, Yue, Hong, Yizhi, Parker, Trent, Hu, Pingfan, Mannan, M. Sam, Wang, Qingsheng

    “…Uncontrolled release of flammable gases and liquids can lead to the formation of flammable vapor clouds. When their concentrations are above the lower…”
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  14. 14
  15. 15

    Development of machine learning based prediction models for hazardous properties of chemical mixtures by Jiao, Zeren, Ji, Chenxi, Yuan, Shuai, Zhang, Zhuoran, Wang, Qingsheng

    “…Lower flammability limit (LFL), upper flammability limit (UFL), auto-ignition temperature (AIT) and flash point (FP) are crucial hazardous properties for fire…”
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  16. 16

    Machine learning based quantitative consequence prediction models for toxic dispersion casualty by Jiao, Zeren, Zhang, Zhuoran, Jung, Seungho, Wang, Qingsheng

    “…Incidental release of toxic chemicals can pose extreme danger to life in the vicinity. Therefore, it is crucial for emergency responders, plant operators, and…”
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  17. 17

    Deep learning based quantitative property-consequence relationship (QPCR) models for toxic dispersion prediction by Jiao, Zeren, Ji, Chenxi, Sun, Yue, Hong, Yizhi, Wang, Qingsheng

    “…[Display omitted] It is crucial for emergency responders to makes a quick and accurate prediction of toxic chemical dispersions, which can lead to massive…”
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  18. 18

    Machine learning prediction of hydrocarbon mixture lower flammability limits using quantitative structure‐property relationship models by Jiao, Zeren, Yuan, Shuai, Zhang, Zhuoran, Wang, Qingsheng

    Published in Process safety progress (01-06-2020)
    “…Lower flammability limit (LFL) of hydrocarbon mixture is a critical property for fire and explosion hazards. In this study, by using experimental LFL data of…”
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  19. 19

    Optimization of dilution ventilation layout design in confined environments using Computational Fluid Dynamics (CFD) by Jiao, Zeren, Yuan, Shuai, Ji, Chenxi, Mannan, M. Sam, Wang, Qingsheng

    “…Dilution ventilation systems have been widely used to control the airborne toxic and explosive material in confined spaces. Layout design of dilution…”
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  20. 20

    Risk informed floating storage and re-gasification unit (FSRU) location selection for local natural gas supply by Ji, Chenxi, Yuan, Shuai, Jiao, Zeren, Pettigrew, James, El-Halwagi, Mahmoud M., Pasman, Hans J.

    Published in Ocean engineering (15-01-2023)
    “…In the present energy market due to high demand of liquefied natural gas (LNG) and the limited availability of land-based LNG import terminals, the use of…”
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