EFFECTS OF PROTECTIVE MECHANICAL VENTILATION WITH DIFFERENT PEEP LEVELS ON ALVEOLAR DAMAGE AND INFLAMMATION IN A MODEL OF OPEN ABDOMINAL SURGERY: A RANDOMIZED STUDY IN OBESE VERSUS NON-OBESE RATS

Effects of Protective Mechanical Ventilation With Different PEEP Levels on Alveolar Damage and Inflammation in a Model of Open Abdominal Surgery: A Randomized Study in Obese Versus Non-obese Rats

Intraoperative positive end-expiratory pressure (PEEP) has been proposed to restore lung volumes and improve respiratory function in obesity.However, the biological impact of different PEEP levels on the lungs in obesity remains unknown.We aimed to compare the effects of PEEP = 2 cmH2O versus PEEP = 6 cmH2O during ventilation with Canvas Mesh Athle

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M-CSF-stimulated myeloid cells can convert into epithelial cells to participate in re-epithelialization and hair follicle regeneration during dermal wound healing.

Dermal wound healing is a complex process which requires the interaction of many cell types and mediators in a highly sophisticated temporal sequence.Myeloid cells which compose of a significant proportion of the inflammatory cells infiltrate to the to a wound site where they play important roles in clearance of damaged tissue and microorganisms.My

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Estimating Mean Tree Crown Diameter using UAV Imagery Based on Multi Resolution and Watershed Segmentation Methods (Case study: Kheyrud Forest)

Orthphoto mosaic, and digital elevation models (DEMs) that created from UAV imagery can be used to delineate tree crowns.The goal of this research is to compare two segmentation techniques in the estimation of crown diameter.In this regard, two successful flights were carried out in two different seasons (leaf-off and leaf-on).Then we generated acc

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Estimation of 2D pressure and cavitation fields from sparse pseudo-pressure sensor point data using super-resolution machine learning

The two-dimensional pressure field around a hydrofoil is estimated from the pressure values of sparse sensors flush-mounted on the hydrofoil.The sparse data is expanded to pressure field data using a combination of multi-layer perceptron (MLP) and super-resolution convolutional neural network (SRCNN) techniques, where MLP is employed to temporarily

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