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  • Open Access

    ARTICLE

    Transfer Learning on Deep Neural Networks to Detect Pornography

    Saleh Albahli*

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 701-717, 2022, DOI:10.32604/csse.2022.022723

    Abstract While the internet has a lot of positive impact on society, there are negative components. Accessible to everyone through online platforms, pornography is, inducing psychological and health related issues among people of all ages. While a difficult task, detecting pornography can be the important step in determining the porn and adult content in a video. In this paper, an architecture is proposed which yielded high scores for both training and testing. This dataset was produced from 190 videos, yielding more than 19 h of videos. The main sources for the content were from YouTube, movies, More >

  • Open Access

    ARTICLE

    Butyrate inhibits the bovine rumen epithelial cell proliferation via downregulation of positive regulators at G0/G1 phase checkpoint

    KANG ZHAN#, MAOCHENG JIANG#, TIANYU YANG, ZIXUAN HU, GUOQI ZHAO*

    BIOCELL, Vol.46, No.7, pp. 1697-1704, 2022, DOI:10.32604/biocell.2022.019068

    Abstract Short-chain fatty acids (SCFAs) butyrate promote the postnatal rumen epithelial development and maturation in ruminants. However, molecular mechanisms of effects of butyrate on the bovine rumen epithelial cells (BRECs) proliferation remain elusive. Therefore, purpose of this study was to investigate the effects of butyrate on the expression of genes and proteins at G0/G1 and S phase of BRECs cycle. Our results showed that BRECs treated with butyrate inhibited (P < 0.05) the proliferation of BRECs, relatively to control. Flow cytometric assays revealed that butyrate triggers the BRECs cycle arrest at the G0/G1 phase. qRT-PCR analyses of… More >

  • Open Access

    ARTICLE

    Detection of Diabetic Retinopathy Using Custom CNN to Segment the Lesions

    Saleh Albahli1,2,*, 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… More >

  • Open Access

    VIEWPOINT

    ISG15 and ISGylation: Emergence in the cytoskeleton dynamic and tumor microenvironment

    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 >

  • Open Access

    RETRACTION

    Retraction Notice to: LncRNA TUG1 Targets miR-222-3p to Take Part in Proliferation and Invasion of Breast Cancer Cells

    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 >

  • Open Access

    ARTICLE

    Breast Tumor Computer-Aided Detection System Based on Magnetic Resonance Imaging Using Convolutional Neural Network

    Jing Lu1, Yan Wu2,#, Mingyan Hu1, Yao Xiong1, Yapeng Zhou1, Ziliang Zhao1, Liutong Shang1,*

    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… More >

  • Open Access

    ARTICLE

    Defect Detection in Printed Circuit Boards with Pre-Trained Feature Extraction Methodology with Convolution Neural Networks

    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… More >

  • Open Access

    ARTICLE

    Deep Optimal VGG16 Based COVID-19 Diagnosis Model

    M. Buvana1, K. Muthumayil2, S. Senthil kumar3, Jamel Nebhen4, Sultan S. Alshamrani5, Ihsan Ali6,*

    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… More >

  • Open Access

    ARTICLE

    Generating Cartoon Images from Face Photos with Cycle-Consistent Adversarial Networks

    Tao Zhang1,2, Zhanjie Zhang1,2,*, 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… More >

  • Open Access

    ARTICLE

    HBx Downregulates miR-422a Expression via Activation of FOXG1/Q1/E1 in HepG2 Cells

    Xiaofan Deng1,2, Yamei Yang2,3, Xianfeng Gan2,3, Gang Wu2,3,*

    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 More >

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