Results 161 to 170 of about 56,498 (290)

Development of an Animal Experimental Model for a Bileaflet Mechanical Heart Valve Prosthesis [PDF]

open access: green, 2004
Suk Jung Choo   +9 more
openalex   +1 more source

A SINGLE BURST LOOP FOR DETERMINING CAVITATION POTENTIAL IN MECHANICAL HEART VALVES

open access: bronze, 2000
Samer Ismat Maaliki   +2 more
openalex   +1 more source

Atrial Fibroblasts‐Derived Extracellular Vesicles Exacerbate Atrial Arrhythmogenesis

open access: yesAdvanced Science, EarlyView.
Exosome miR‐224‐5p derived from angiotensin II‐treated atrial fibroblasts creates a substrate for AF by promoting atrial electrical remodeling. Increased exosome miR‐224‐5p enhances AF susceptibility by inhibiting CACNA1c expression and decreasing ICa current of atrial cardiomyocytes.
Yue Yuan   +13 more
wiley   +1 more source

Blood coagulation monitoring of patients with mechanical heart valve visiting Imam. [PDF]

open access: yesJ Cardiothorac Surg
Montazeri N   +3 more
europepmc   +1 more source

Deep Learning‐Assisted Rapid Bacterial Classification Based on Raman Spectroscopy of Bacteria Lysed by Acoustically Driven Fiber‐Tip Vibration

open access: yesAdvanced Science, EarlyView.
A novel acoustofluidic lysis technique based on a vibrating fiber‐tip is integrated with Raman spectroscopy and deep learning for rapid, label‐free bacterial classification. By exposing intracellular biomolecules, this method significantly enhances spectral resolution, enabling high‐accuracy classification with a 1D‐ResNet model.
Yukai Liu   +9 more
wiley   +1 more source

Measurement of the opening and closing behavior of Bjork-Shiley mechanical heart valve with an electrohydraulic total artificial heart

open access: bronze, 2001
Hwansung Lee   +5 more
openalex   +2 more sources

Neural Topology Optimization Via Active Learning for Efficient Channel Design in Turbulent Mass Transfer

open access: yesAdvanced Science, EarlyView.
This study introduces a neural operator‐assisted topology optimization framework for designing fluidic channel structures in mass transfer processes. By combining machine learning, gradient‐based optimization, and active data augmentation, the method enables high‐fidelity, efficient design.
Chenhui Kou   +6 more
wiley   +1 more source

A NEW APPROACH TO DETECTION OF THE CAVITATION ON MECHANICAL HEART VALVES

open access: bronze, 2002
Koki Takiura   +6 more
openalex   +1 more source

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