Elisa Listo^1,#, Nicola Martini^2,#, Stefano Salvadori³, Elisa Valenti³, Nicola Stagnaro¹, Gianluca Trocchio⁴, Chiara Marrone⁵, Alberto Clemente⁶, Francesca Raimondi^7,*, Pierluigi Festa⁵, Lamia Ait Ali^5,8,*

Congenital Heart Disease, Vol.18, No.6, pp. 627-638, 2023, DOI:10.32604/chd.2023.030312 - 19 January 2024

Abstract Background: The assessment of Fontan circuit’s flow is traditionally evaluated by multiple through-plane phase-contrast MRI acquisitions (2D flow), while recently, a single volumetric 4D-flow MRI acquisition is emerging as a comprehensive tool for the hemodynamic evaluation in congenital heart diseases. Purpose: To compare 2D and 4D-flow MRI measurements in patients after Fontan palliation and to evaluate parameters affecting potential disagreement. Methods: 39 patients after Fontan palliation (23 males, age 22 ± 11 years) who underwent cardiac MRI with 2D and 4D-flow MRI acquisition were included in the study. In all patients, blood flow quantification in the… More > Graphic Abstract

Irene Martin de Miguel¹, C. Charles Jain¹, Alexander C. Egbe¹, Jason H. Anderson², Heidi M. Connolly¹, William R. Miranda^1,*

Congenital Heart Disease, Vol.17, No.6, pp. 605-615, 2022, DOI:10.32604/chd.2022.023969 - 11 October 2022

Abstract Background: Coarctation of the aorta (CoA) is associated with a generalized arteriopathy and long-term complications despite repair. Data on invasive exercise hemodynamics in this population are lacking. Accordingly, we reviewed adults with CoA undergoing exercise catheterization to assess 1. hemodynamic profile; 2. feasibility for assessment of CoA severity. Methods: Twenty patients undergoing exercise cardiac catheterization (12 arm adduction and 8 supine cycle ergometry) at a quaternary care center between 2004 and 2021 were identified. Resting and exercise hemodynamic data were abstracted from the procedure logs. Results: Mean age was 43.6 ± 12.0 years. Eleven patients (55%) had resting pulmonary… More >

Chunli Yin^1,*, Jinglong Han²

CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 291-307, 2021, DOI:10.32604/cmes.2021.014347 - 30 March 2021

Abstract With the continuous development of artificial intelligence technology, its application field has gradually expanded. To further apply the deep reinforcement learning technology to the field of dynamic pricing, we build an intelligent dynamic pricing system, introduce the reinforcement learning technology related to dynamic pricing, and introduce existing research on the number of suppliers (single supplier and multiple suppliers), environmental models, and selection algorithms. A two-period dynamic pricing game model is designed to assess the optimal pricing strategy for e-commerce platforms under two market conditions and two consumer participation conditions. The first step is to analyze… More >