Molecular & Cellular Biomechanics最新文献

{"title":"Classification of Leukemia and Leukemoid Using VGG-16 Convolutional Neural Network Architecture","authors":"G. Sriram, T. R. Ganesh Babu, R. Praveena, J. V. Anand","doi":"10.32604/mcb.2022.016966","DOIUrl":"https://doi.org/10.32604/mcb.2022.016966","url":null,"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 is performed to support classification of leukemia and leukemoid reactions. Leukocytosis is commonly observed both in leukemia and leukemoid hence physicians may have chance of wrong diagnosis of malignant leukemia for the patients with leukemoid reactions. BCCD (blood cell count detection) Dataset has been used which has 364 blood smear images of which 349 are of single WBC type. The Image segmentation algorithm of Hue Saturation Value color based on watershed has been applied. VGG16 (Visual Geometric Group) CNN (Convolution Neural Network) architecture based deep learning technique is being incorporated for classification and counting WBC type from segmented images. The VGG16 architecture based CNN used for classification and segmented images obtained from first part were tested to identify WBC blasts.","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75076045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of Resistance Training and Spirulina platensis on Expression of IL-6, Gp130 Cytokines, JAK-STAT Signaling in Male Rats Skeletal Muscle","authors":"A. Zar, F. Ahmadi, F. Karimi, M. Ahmadi, R. Ramsbottom","doi":"10.32604/mcb.2022.018345","DOIUrl":"https://doi.org/10.32604/mcb.2022.018345","url":null,"abstract":"","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"130 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85769929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lung Nodule Detection Based on YOLOv3 Deep Learning with Limited Datasets","authors":"Zhaohui Bu, Xuejun Zhang, Jianxiang Lu, Huan Lao, Chan Liang, Xianfu Xu, Yini Wei, Hongjie Zeng","doi":"10.32604/mcb.2022.018318","DOIUrl":"https://doi.org/10.32604/mcb.2022.018318","url":null,"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 the problem of less training data when starting a new study of Computer Aided Diagnosis (CAD), we firstly pick up a small number of diseased regions to simulate a limited datasets training procedure: 5 nodule patterns are selected and deformed into 110 nodules by random geometric transformation before fusing into 10 normal lung CT images using Poisson image editing. According to the experimental results, the Poisson fusion method achieves a detection rate of about 65.24% for testing 100 new images. Secondly, 419 slices from common database RIDER are used to train and test our YOLOv3 network. The time of lung nodule detection by YOLOv3 is shortened by 2–3 times compared with the mainstream algorithm, with the detection accuracy rate of 95.17%. Finally, the configuration of YOLOv3 is optimized by the learning data sets. The results show that YOLOv3 has the advantages of high speed and high accuracy in lung nodule detection, and it can access a large amount of CT image data within a short time to meet the huge demand of clinical practice. In addition, the use of Poisson image editing algorithms to generate data sets can reduce the need for raw training data and improve the training efficiency.","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82322090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative Study on Biomechanics of Two Legs in the Action of Single-Leg Landing in Men’s Badminton","authors":"Gang He","doi":"10.32604/mcb.2022.017044","DOIUrl":"https://doi.org/10.32604/mcb.2022.017044","url":null,"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 lower than that of the left leg (p < 0.05). At the moment of landing by a single leg, the hip angle of the left and right legs was 164.78 ± 6.12° and 156.29 ± 6.89°, respectively (p < 0.05), the hip joint speed of the left and right legs was 2.21 ± 0.32 and 1.98 ± 0.31 m/s, respectively (p < 0.05), the knee joint speed of the left and right legs was 2.51 ± 0.21 and 2.21 ± 0.21 m/s, respectively (p < 0.05). Although there was no significant difference in the range of joint motion, the motion range of the right leg was larger than that of the left leg, and the buffering time of the knee joint of the right leg was also significantly less than that of the left leg. The comparison of the kinetic data demonstrated that the ground reaction force (GRF), peak vertical ground reaction force (PVGRF), and lower limb stiffness of the right leg were significantly smaller than those of the left leg, and the time to peak force was greater than that of the left leg (p < 0.05). The injury risk of the left leg is greater than that of the right leg when the athlete land on a single leg. In the process of training, the athlete should strengthen the stability training of two legs, especially the left leg, in order to reduce sports injury.","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82746312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of the Movement Track of Top Spinning Ball and Biomechanics in the Process of Hitting Tennis Ball","authors":"Xia Xie","doi":"10.32604/mcb.2021.016246","DOIUrl":"https://doi.org/10.32604/mcb.2021.016246","url":null,"abstract":"","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77787479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computational Fluid Dynamics Simulations at Micro-Scale Stenosis for Microfluidic Thrombosis Model Characterization","authors":"Y. Zhao, Parham Vatankhah, Tiffany Goh, Jiaqiu Wang, Xuanyi Chen, M. N. Kashani, Keke Zheng, Zhiyong Li, L. Ju","doi":"10.32604/MCB.2021.012598","DOIUrl":"https://doi.org/10.32604/MCB.2021.012598","url":null,"abstract":"Platelet aggregation plays a central role in pathological thrombosis, preventing healthy physiological blood fl ow within the circulatory system. For decades, it was believed that platelet aggregation was primarily driven by solu-ble agonists such as thrombin, adenosine diphosphate and thromboxane A2. However, recent experimental fi nd-ings have unveiled an intriguing but complementary biomechanical mechanism — the shear rate gradients generated from fl ow disturbance occurring at sites of blood vessel narrowing, otherwise known as stenosis, may rapidly trigger platelet recruitment and subsequent aggregation. In our Nature Materials 2019 paper [1], we employed micro fl uidic devices which incorporated micro-scale stenoses to elucidate the molecular insights underlying the prothrombotic effect of blood fl ow disturbance. Nevertheless, the rheological mechanisms associated with this stenotic micro fl uidic device are poorly characterized. To this end, we developed a computational fl uid dynamics (CFD) simulation approach to systematically analyze the hemodynamic in fl uence of bulk fl ow mechanics and fl ow medium. Grid sensitivity studies were performed to ensure accurate and reliable results. Interestingly, the peak shear rate was signi fi cantly reduced with the device thickness, suggesting that fabrication of micro fl uidic devices should retain thicknesses greater than 50 µm to avoid unexpected hemodynamic aberra-tion, despite thicker devices raising the cost of materials and processing time of photolithography. Overall, as many groups in the fi eld have designed micro fl uidic devices to recapitulate the effect of shear rate gradients and investigate platelet aggregation, our numerical simulation study serves as a guideline for rigorous design and fabrication of micro fl uidic thrombosis models. blood fl ow rendering was colored by shear rate at constant viscosity. Note the shear rate maxima occurs at the stenosis apex and near the wall while the center forms a low shear pocket. (B and F) Peak shear rate γ max linearly correlates with input bulk shear rate γ 0 for both eccentric and concentric stenoses respectively. Note the concentric stenosis geometry demonstrates better linearity. The shear rate γ (C and G) and shear rate gradient γ ’ (D and H) distribution were analyzed along a sample streamline 1µm above stenosis apex spanning the shear acceleration ( x = − 100 – 0 µm) and deceleration ( x = 0 – 100 µm) zones. Note the γ and γ ’ present equal-space increment in regard to γ 0 . The γ max is located at x = 0 µm while the γ ’ max is located at x = − 5 µm","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87856612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Differences in Lower Extremity Joints Energy Dissipation Strategy during Landing between Athletes with Symptomatic Patellar Tendinopathy (PT) and without Patellar Tendinopathy (UPT)","authors":"Datao Xu, Zhenghui Lu, Siqin Shen, G. Fekete, U. Ugbolue, Yaodong Gu","doi":"10.32604/MCB.2021.015453","DOIUrl":"https://doi.org/10.32604/MCB.2021.015453","url":null,"abstract":"Patellar tendinopathy is a clinical symptom of patellar tendons characterized by local pain in the front of the knee joint. It is common among basketball and volleyball players. Patients with patellar tendinopathy may exhibit different landing strategies during landing compared to healthy individuals. The purpose of this study was to compare the differences in lower limb joint energy dissipation (eccentric work) values for the symptomatic patellar tendinopathy (PT) athletes and no patellar tendinopathy (UPT) athletes during single-leg landing. A total of 26 (PT: 13, UPT:13) semi-professional male basketball and volleyball player’s kinetic data were collected during the landing phases. Joint work was calculated by the integral of joint power over time. In this study, the result showed that the ankle joint means energy dissipation (p < 0.001) and total energy dissipation (p < 0.001) of PT were significantly greater than UPT. Compared to the UPT athletes, the PT athletes showed smaller knee joint mean energy dissipation (p = 0.002) and contribution to total energy dissipation (p < 0.001) during the landing stance. Meanwhile, there were no differences in hip joint contribution to total energy dissipation (p = 0.523) and lower limb total energy dissipation (p = 0.127). A deeper understanding of each joint’s energy dissipation contribution ratio between UPT and PT during landing can provide clues that reveal the biomechanical mechanism of PT athletes landing. Further study should choose a larger sample size to more comprehensively reveal the energy dissipation strategy of PT during landing.","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82966764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Review of the Role of ERp57 in Cancerous and Non-Cancerous Cell Physiology and its Potential as a Therapeutic Target","authors":"F. Rahbar, Avid Farhang Fagheh, A. Khosravi, Siavash Shariatzadeh, R. Akhavan-Sigari","doi":"10.32604/mcb.2021.017750","DOIUrl":"https://doi.org/10.32604/mcb.2021.017750","url":null,"abstract":"The protein ERp57 is a stress-responsive protein, mainly exists in the endoplasmic reticulum (ER), and a small amount in the cell membrane, cytoplasm, nucleus and mitochondria, which is involved in the signal transduction from the cell surface, the regulation process that occurs in the nucleus, and the formation of polymer protein complexes involved in DNA repair. Various degrees of ERp57 dysregulation has been observed in many types of non-communicable diseases especially in cancers. Previous studies showed that the expression of ERp57 could play a key role in occurrence and development of cancers such as breast cancer, gastric cancer, ovarian cancer, etc.; in addition, it has been suggested to play a pivotal role in disease progression of non-cancerous diseases such as neurodegeneration, liver disease, kidney disease, intestinal irritability syndrome and airway hypersensitivity. Thus, abnormal expression of ERp57 could be used as promising biomarker for cancer diagnosis and prognosis based on the previous studies. In this regard, current study was aimed to review the literature, which have been elucidate the role of ERp57 protein expression in both non-cancer and cancer disease. Overall, most studies have shown that inhibiting/knocking out of ERp57 could inhibit the cell proliferation and also induce apoptosis in both human cancerous and non-cancerous cells. Also, it has been suggested that the overexpression of ERp57 could intensify the cancer development. Therefore, it could be hypothesized that targeting of ERp57 might be a potential treatment in cancerous and non-cancerous diseases.","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86618202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Temperature on Upper Respiratory Tract Infections in Lanzhou Based on the Distributed Lag Model","authors":"Guangyu Zhai, Kuan Zhang, G. Chai","doi":"10.32604/MCB.2021.014287","DOIUrl":"https://doi.org/10.32604/MCB.2021.014287","url":null,"abstract":"The study mainly analyzed the relationship between temperature and the upper respiratory tract infections (URI) in Lanzhou. We collected the daily URI and meteorological data from 2010 to 2015. A distributed lag non-linear model was used to examine the relationship and potential effects of different temperatures and different lag days on the morbidity of URI. The results showed that the morbidity of URI was significantly related to the meteorological factors, and the peak of the onset of the disease usually occurred between November and February the next year. The correlation analysis was carried out between meteorological factors and URI cases, and the result revealed that the daily morbidity of URI in Lanzhou was related to air temperature, air pressure, and wind speed. The exposure effect curve of average daily temperature to different sex and different age groups in Lanzhou displayed an M-shaped. Temperature had a certain lag effect on the daily morbidity of URI. For low temperature, it appeared on the present day, and the maximum impact appeared at lag 2 days and persisted for 12 days. The female was more vulnerable than the male, and the impact was obvious in teenagers and the elderly and not obvious in adult. Meteorological factors play an important role in the occurrence of URI in Lanzhou, but the main factor is low temperature. Temperature can trigger the morbidity of URI directly; it can induce various symptoms of URI (such as cold, sore throat and rhinitis) and directly affect the distribution of URI in the population.","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"9 4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78467572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Coronary Artery Curvature on the Longitudinal Stent Foreshortening: Real-World Observations","authors":"Yang Li, Runxin Fang, Ren-cheng Wang, Qiming Dai, Zhiyong Li, G. Ma","doi":"10.32604/mcb.2021.017503","DOIUrl":"https://doi.org/10.32604/mcb.2021.017503","url":null,"abstract":"Longitudinal stent foreshortening is a known phenomenon, however, the impact of coronary artery curvature on longitudinal stent foreshortening remains unclear. The aim of this study is to determine the impact of coronary artery curvature on the longitudinal stent foreshortening in the real-world scenarios. A total of 86 consecutive patients underwent coronary stent implantation were included in the present study. The degree of coronary artery curvature was defined as the length of the coronary artery curvature divided by the straight length. Longitudinal stent foreshortening was defined as the stent length after implantation divided by the stent length before implantation. The mean longitudinal foreshortening rate of coronary stents was about 94% in curved coronary arteries. Longitudinal stent foreshortening rate was positively correlated with the degree of coronary artery curvature (r = –0.86, P < 0.01). Coronary artery curvature is associated with significant longitudinal foreshortening of coronary stents, thus longitudinal foreshortening should be considered on deciding the stent length in curved coronary artery and a longer stent is usually needed in curved coronary artery.","PeriodicalId":48719,"journal":{"name":"Molecular & Cellular Biomechanics","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81646298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}