Saleh Albahli^1,2,*, Ghulam Nabi Ahmad Hassan Yar³

Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 837-853, 2022, DOI:10.32604/iasc.2022.024427

Abstract Diabetic retinopathy is an eye deficiency that affects the retina as a result of the patient having Diabetes Mellitus caused by high sugar levels. This condition causes the blood vessels that nourish the retina to swell and become distorted and eventually become blocked. In recent times, images have played a vital role in using convolutional neural networks to automatically detect medical conditions, retinopathy takes this to another level because there is need not for just a system that could determine is a patient has retinopathy, but also a system that could tell the severity of the procession and if it… More >

ANGELES C. TECALCO-CRUZ^*

BIOCELL, Vol.46, No.5, pp. 1209-1213, 2022, DOI:10.32604/biocell.2022.018136

Abstract Cytoskeletal remodeling affects the shape, adhesion, and motility of cells. Cytoskeletal dynamics are modulated by matrix proteins, integrins, and several cytokines in the tumor microenvironment. In this scenario, signaling is activated by integrins and interferons, which can induce ISG15 gene expression. This gene encodes a ubiquitin-like protein that functions as a protein modifier via the ISGylation system. Furthermore, non-conjugated ISG15 acts as a cytokine-like protein. In this viewpoint, the interplay between free ISG15, protein ISGylation, and cytoskeletal dynamics in the tumor microenvironment is discussed. More >

Yuqin Xie, Shuang Deng, Qian Deng, Jiudong Xu

Oncologie, Vol.23, No.4, pp. 609-609, 2021, DOI:10.32604/oncologie.2021.020379

Abstract This article has no abstract. More >

Jing Lu¹, Yan Wu^2,#, Mingyan Hu¹, Yao Xiong¹, Yapeng Zhou¹, Ziliang Zhao¹, Liutong Shang^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 365-377, 2022, DOI:10.32604/cmes.2021.017897

Abstract Background: The main cause of breast cancer is the deterioration of malignant tumor cells in breast tissue. Early diagnosis of tumors has become the most effective way to prevent breast cancer. Method: For distinguishing between tumor and non-tumor in MRI, a new type of computer-aided detection CAD system for breast tumors is designed in this paper. The CAD system was constructed using three networks, namely, the VGG16, Inception V3, and ResNet50. Then, the influence of the convolutional neural network second migration on the experimental results was further explored in the VGG16 system. Result: CAD system built based on VGG16, Inception… More >

Mohammed A. Alghassab^*

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 637-652, 2022, DOI:10.32604/cmc.2022.019527

Abstract Printed Circuit Boards (PCBs) are very important for proper functioning of any electronic device. PCBs are installed in almost all the electronic device and their functionality is dependent on the perfection of PCBs. If PCBs do not function properly then the whole electric machine might fail. So, keeping this in mind researchers are working in this field to develop error free PCBs. Initially these PCBs were examined by the human beings manually, but the human error did not give good results as sometime defected PCBs were categorized as non-defective. So, researchers and experts transformed this manual traditional examination to automated… More >

M. Buvana¹, K. Muthumayil², S. Senthil kumar³, Jamel Nebhen⁴, Sultan S. Alshamrani⁵, Ihsan Ali^6,*

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 43-58, 2022, DOI:10.32604/cmc.2022.019331

Abstract Coronavirus (COVID-19) outbreak was first identified in Wuhan, China in December 2019. It was tagged as a pandemic soon by the WHO being a serious public medical condition worldwide. In spite of the fact that the virus can be diagnosed by qRT-PCR, COVID-19 patients who are affected with pneumonia and other severe complications can only be diagnosed with the help of Chest X-Ray (CXR) and Computed Tomography (CT) images. In this paper, the researchers propose to detect the presence of COVID-19 through images using Best deep learning model with various features. Impressive features like Speeded-Up Robust Features (SURF), Features from… More >

Tao Zhang^1,2, Zhanjie Zhang^1,2,*, Wenjing Jia³, Xiangjian He³, Jie Yang⁴

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2733-2747, 2021, DOI:10.32604/cmc.2021.019305

Abstract The generative adversarial network (GAN) is first proposed in 2014, and this kind of network model is machine learning systems that can learn to measure a given distribution of data, one of the most important applications is style transfer. Style transfer is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image. CYCLE-GAN is a classic GAN model, which has a wide range of scenarios in style transfer. Considering its unsupervised learning characteristics, the mapping is easy to be learned between an input image and an output… More >

Xiaofan Deng^1,2, Yamei Yang^2,3, Xianfeng Gan^2,3, Gang Wu^2,3,*

Oncologie, Vol.23, No.2, pp. 251-258, 2021, DOI:10.32604/Oncologie.2021.016900

Abstract microRNA-422a (miR-422a) is downregulated in many hematopoietic tumors and solid tumors including hepatocellular carcinoma. We previously demonstrated that hepatitis B virus X protein (HBx) downregulated expression of miR-422a in HCC cell line HepG2 in vitro. However, we explore the mechanisms underlying this action. Forkhead box proteins (FOX) G1/Q1/E1 are known to negatively regulate miR-422a expression, and this prompted us to determine whether HBx suppresses miR-422a expression via activation of FOXG1/Q1/E1. The relationship between FOXG1/Q1/E1 and miR-422a in HepG2 cells stably expressing HBx was assessed with qRT-PCR. The correlation between HBx and FOXG1/Q1/E1 was determined with qRT-PCR and western blot in… More >

Kathiravan Srinivasan¹, Lalit Garg^2,*, Debajit Datta³, Abdulellah A. Alaboudi⁴, N. Z. Jhanjhi⁵, Rishav Agarwal³, Anmol George Thomas¹

CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 4109-4124, 2021, DOI:10.32604/cmc.2021.016736

Abstract According to various worldwide statistics, most car accidents occur solely due to human error. The person driving a car needs to be alert, especially when travelling through high traffic volumes that permit high-speed transit since a slight distraction can cause a fatal accident. Even though semi-automated checks, such as speed detecting cameras and speed barriers, are deployed, controlling human errors is an arduous task. The key causes of driver’s distraction include drunken driving, conversing with co-passengers, fatigue, and operating gadgets while driving. If these distractions are accurately predicted, the drivers can be alerted through an alarm system. Further, this research… More >

Shuo Qu¹, Yaolei Jiao², Lamboro Abraham², Piwu Wang^1,*

Phyton-International Journal of Experimental Botany, Vol.90, No.4, pp. 1177-1192, 2021, DOI:10.32604/phyton.2021.015206

Abstract The fatty acid dehydrogenase gene plays an important role in regulating the oleic acid content in soybean. Genome-wide association study screened out soybean oleic acid related gene Gm15G117700. A fragment size of 693bp was obtained by PCR amplification of the gene and, it was connected by seamless cloning technology to the pMD18T cloning vector. Based on the gene sequence cloned, bioinformatic analysis of gene protein was performed. The overexpression vector of Gm15G117700 and the CRISPR/Cas9 gene editing vector were constructed. The positive plants were obtained by Agrobacterium-mediated transformation of soybean cotyledon nodes and T₂ plants were identified by conventional PCR,… More >