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    High Resolution Simulation of Tri Leaflet Aortic Heart Valve in an Idealized Aorta 

    Source: Journal of Medical Devices:;2013:;volume( 007 ):;issue: 003:;page 30930
    Author(s): Bao Le, Trung; Gilmanov, Anvar; Sotiropoulos, Fotis
    Publisher: The American Society of Mechanical Engineers (ASME)
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    Spatial and Recurrent Event Survival Analysis of Oil Pipeline Incident Hotspots and Regional Longevity Patterns 

    Source: Journal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 003:;page 04026025-1
    Author(s): Asaye, Lemlem; Le, Chau; Huang, Ying; Le, Trung; Pirim, Harun; Yadav, Om Prakash; Le, Tuyen
    Publisher: American Society of Civil Engineers
    Abstract: AbstractOil pipeline infrastructure is crucial to energy security and economic development; however, many systems now operate beyond their intended design lifespan. This study addresses three key limitations in current ...
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    A Novel Bioreactor for Mechanobiological Studies of Engineered Heart Valve Tissue Formation Under Pulmonary Arterial Physiological Flow Conditions 

    Source: Journal of Biomechanical Engineering:;2014:;volume( 136 ):;issue: 012:;page 121009
    Author(s): Ramaswamy, Sharan; Boronyak, Steven M.; Le, Trung; Holmes, Andrew; Sotiropoulos, Fotis; Sacks, Michael S.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The ability to replicate physiological hemodynamic conditions during in vitro tissue development has been recognized as an important aspect in the development and in vitro assessment of engineered heart valve tissues. ...
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    Modeling the Role of Oscillator Flow and Dynamic Mechanical Conditioning on Dense Connective Tissue Formation in Mesenchymal Stem Cell–Derived Heart Valve Tissue Engineering 

    Source: Journal of Medical Devices:;2013:;volume( 007 ):;issue: 004:;page 40927
    Author(s): Soares, Joأ£o S.; B. Le, Trung; Sotiropoulos, Fotis; S. Sacks, Michael
    Publisher: The American Society of Mechanical Engineers (ASME)
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    Identifying Hotspots in Natural Gas and Oil Pipeline Networks and Understanding Incident Risk Factors: An Integrated Spatial Analysis and Machine Learning Approach 

    Source: Journal of Pipeline Systems Engineering and Practice:;2025:;Volume ( 016 ):;issue: 004:;page 04025070-1
    Author(s): Asaye, Lemlem; Le, Chau; Le, Trung; Huang, Ying; Yadav, Om Prakash; Le, Tuyen
    Publisher: American Society of Civil Engineers
    Abstract: AbstractPipeline networks are crucial for transporting natural gas and oil but are vulnerable to significant safety and environmental risks. Previous studies have primarily focused on identifying overall incident causes ...
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