Results 231 to 240 of about 146,778 (328)

Source, triggers and clinical implications of hyperlactemia in patients undergoing mitral valve surgery using Custodiol cardioplegia [PDF]

open access: yes, 2013
Angelini, Gianni D   +7 more
core   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios   +4 more
wiley   +1 more source

Higher protein intake may benefit in patients with prolonged mechanical ventilation. [PDF]

open access: yesFront Nutr
Chang CH   +9 more
europepmc   +1 more source

A Soft‐Tip Hydraulically Steerable Catheter for Enhanced Flexibility and Safety in Vascular Interventions

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a hydraulically steerable catheter with a soft tip in vascular procedures. The steering soft tip achieves a minimal diameter of 2.6 mm and supports a 180° bend. Real‐time shape and position tracking, facilitated by segmentation and endpoint detection techniques, improves navigation.
Jingyi Kang   +9 more
wiley   +1 more source

Rapid and Precise Geometric Measurement of Injection‐Molded Axial Fans Using Convolutional Neural Network Regression

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a vision‐based artificial intelligence (AI) system that rapidly and accurately measures deformation in injection‐molded axial fan blades. By combining deep learning with explainable AI techniques, the system achieves high prediction accuracy while reducing inspection time by over 90%.
Keuntae Baek   +6 more
wiley   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang   +6 more
wiley   +1 more source

Morbidity and Mortality of Blood Stream Infections in Severely Burned Patients [PDF]

open access: yes, 2009
Blot, Stijn   +5 more
core   +1 more source

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