Vol.19, No.1, 2022-Table of Contents
  • Nuclear Stress-Strain State over Micropillars: A Mechanical In silico Study
  • Abstract Cells adapt to their environment and stimuli of different origin. During confined migration through sub-cellular and sub-nuclear pores, they can undergo large strains and the nucleus, the most voluminous and the stiffest organelle, plays a critical role. Recently, patterned microfluidic devices have been employed to analyze the cell mechanical behavior and the nucleus self-deformations. In this paper, we present an in silico model to simulate the interactions between the cell and the underneath microstructured substrate under the effect of the sole gravity. The model lays on mechanical features only and it has the potential to assess the contribution of the… More
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  • Lung Nodule Detection Based on YOLOv3 Deep Learning with Limited Datasets
  • Abstract The early symptom of lung tumor is always appeared as nodule on CT scans, among which 30% to 40% are malignant according to statistics studies. Therefore, early detection and classification of lung nodules are crucial to the treatment of lung cancer. With the increasing prevalence of lung cancer, large amount of CT images waiting for diagnosis are huge burdens to doctors who may missed or false detect abnormalities due to fatigue. Methods: In this study, we propose a novel lung nodule detection method based on YOLOv3 deep learning algorithm with only one preprocessing step is needed. In order to overcome… More
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  • Classification of Leukemia and Leukemoid Using VGG-16 Convolutional Neural Network Architecture
  • Abstract Leukemoid reaction like leukemia indicates noticeable increased count of WBCs (White Blood Cells) but the cause of it is due to severe inflammation or infections in other body regions. In automatic diagnosis in classifying leukemia and leukemoid reactions, ALL IDB2 (Acute Lymphoblastic Leukemia-Image Data Base) dataset has been used which comprises 110 training images of blast cells and healthy cells. This paper aimed at an automatic process to distinguish leukemia and leukemoid reactions from blood smear images using Machine Learning. Initially, automatic detection and counting of WBC is done to identify leukocytosis and then an automatic detection of WBC blasts… More
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  • Comparative Study on Biomechanics of Two Legs in the Action of Single-Leg Landing in Men’s Badminton
  • Abstract This study aims to analyze the biomechanical difference between the two legs of male badminton players when they land on one leg, thereby providing some guidance for preventing sports injury. Ten male badminton players were selected as the subjects. They did the single-leg landing movement successfully three times. The kinematic data were obtained by the Vicon infrared high-speed motion capture system. The kinetic data were obtained by the KISTLER three-dimensional forcing measuring platform. The data were processed and analyzed. The center of gravity of the right leg on the X and Y axes were 0.25 ± 0.05 and 0.21 ± 0.04 m, respectively, which were… More
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  • Effect of Resistance Training and Spirulina platensis on Expression of IL-6, Gp130 Cytokines, JAK-STAT Signaling in Male Rats Skeletal Muscle
  • Abstract The effect of resistance training and a herbal supplement on muscular signaling pathways are limited. We investigated the expression of IL-6, Gp130, JAK and STAT after resistance training, and Spirulina platensis supplementation in animal muscle. Thirty-two male Sprague Dawley rats (weight: 290 ± 20 g, and 9 weeks of age) were divided into four groups: control (CO; n = 8), Spirulina platensis supplementation (SP; n = 8), resistance exercise (RE; n = 8), and Spirulina platensis + resistance exercise (SP + RE; n = 8). The resistance exercise group trained five sessions each week for eight weeks. Spirulina 200 mg… More
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