FEI CHEN^1,2, LIANG WANG^3,*, YUHONG LI^1,2,*

BIOCELL, Vol.46, No.7, pp. 1687-1696, 2022, DOI:10.32604/biocell.2022.018078 - 17 March 2022

Abstract Long noncoding RNAs (lncRNAs) are vital regulators in tumorigenesis and metastasis. However, the pathological role of lncRNAs in hepatocellular carcinoma (HCC) is still unclear. In this study, we filtered out three lncRNAs from The Cancer Genome Atlas (TCGA) data that were screened for basic expression and clinical research. We selected lncRNA-NEAT1 for further study to explore its function in HCC progression and its regulatory mechanism. We identified three differentially expressed lncRNAs (DElncRNAs) in tumor and adjacent normal tissues from the TCGA library using data mining methods: lncRNA-NEAT1, lncRNA-MAGI2-AS3 and lncRNA-HCG11. Their basic expression levels were… More >

Manal Alanazi^*, Ahamed Aljuhani

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 261-279, 2022, DOI:10.32604/cmc.2022.024496 - 24 February 2022

Abstract The Internet of Things (IoT) has been deployed in diverse critical sectors with the aim of improving quality of service and facilitating human lives. The IoT revolution has redefined digital services in different domains by improving efficiency, productivity, and cost-effectiveness. Many service providers have adapted IoT systems or plan to integrate them as integral parts of their systems’ operation; however, IoT security issues remain a significant challenge. To minimize the risk of cyberattacks on IoT networks, anomaly detection based on machine learning can be an effective security solution to overcome a wide range of IoT… More >

Sofia Nishath, P. S. Nithya Darisini^*

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 349-364, 2022, DOI:10.32604/cmc.2022.023935 - 24 February 2022

Abstract Crowd Anomaly Detection has become a challenge in intelligent video surveillance system and security. Intelligent video surveillance systems make extensive use of data mining, machine learning and deep learning methods. In this paper a novel approach is proposed to identify abnormal occurrences in crowded situations using deep learning. In this approach, Adaptive GoogleNet Neural Network Classifier with Multi-Objective Whale Optimization Algorithm are applied to predict the abnormal video frames in the crowded scenes. We use multiple instance learning (MIL) to dynamically develop a deep anomalous ranking framework. This technique predicts higher anomalous values for abnormal More >

Saad Awadh Alanazi^*

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 37-55, 2022, DOI:10.32604/cmc.2022.020118 - 24 February 2022

Abstract Melanoma, also called malignant melanoma, is a form of skin cancer triggered by an abnormal proliferation of the pigment-producing cells, which give the skin its color. Melanoma is one of the skin diseases, which is exceptionally and globally dangerous, Skin lesions are considered to be a serious disease. Dermoscopy-based early recognition and detection procedure is fundamental for melanoma treatment. Early detection of melanoma using dermoscopy images improves survival rates significantly. At the same time, well-experienced dermatologists dominate the precision of diagnosis. However, precise melanoma recognition is incredibly hard due to several factors: low contrast between… More >

Fatmah Alanazi^*, Kamal Jambi, Fathy Eassa, Maher Khemakhem, Abdullah Basuhail, Khalid Alsubhi

Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 923-938, 2022, DOI:10.32604/iasc.2022.024668 - 08 February 2022

Abstract Software-defined network (SDN) is an enabling technology that meets the demand of dynamic, adaptable, and manageable networking architecture for the future. In contrast to the traditional networks that are based on a distributed control plane, the control plane of SDN is based on a centralized architecture. As a result, SDNs are susceptible to critical cyber attacks that exploit the single point of failure. A distributed denial of service (DDoS) attack is one of the most crucial and risky attacks, targeting the SDN controller and disrupting its services. Several researchers have proposed signature-based DDoS mitigation and… More >

JUAN CARLOS STOCKERT^1,2,*, ALFONSO BLÁZQUEZ-CASTRO³

BIOCELL, Vol.46, No.6, pp. 1391-1415, 2022, DOI:10.32604/biocell.2022.019493 - 07 February 2022

Abstract

Melanins represent one of the most ancient and important group of natural macromolecular pigments. They have multiple biological roles in almost all organisms across the Phyla, examples being photoprotection, anti-oxidative action, radical scavenger activity, and heavy metal removal. From the biomedical point of view, melanocytes are involved in the origin of melanoma tumors, and the main therapeutic advances for their treatment have been revised in Part 1 of this review. The chemical structure of eumelanin is a biological concern of great importance, and therefore, exploring theoretical molecular models and synthesis mechanisms will be here described, as

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YAO XU^1,#, BIN WU^2,#, JING YANG³, SHENG ZHANG², LONGGEN LIU⁴, SUOBAO XU^2,*, JIAKAI JIANG^2,*

BIOCELL, Vol.46, No.6, pp. 1483-1491, 2022, DOI:10.32604/biocell.2022.017745 - 07 February 2022

Abstract To study the roles and association of murine double minute gene 2 (MDM2) and fructose-1,6-biphosphatase (FBP1) in human hepatocellular carcinoma (HCC), growth response of human HCC cells was assessed using proliferation and apoptosis assay. Pro-survival AKT signaling associated proteins (p-AKT, survivin and cleaved caspase 3) were assessed using western blotting. The correlation between MDM2 and FBP1 was assessed using co-immunoprecipitation combined with ubiquitination assay. Our data suggested that low expression of FBP1 was correlated with high levels of MDM2 in HCC cell lines (Huh7 and Hep3B). Overexpression of FBP1 resulted in anti-proliferation, pro-apoptosis, the up-regulation… More >

JIAN XU^1,#, HAILONG GE^1,#, CHEN CHAO¹, FENG MO¹, YU WANG¹, DENGKUI ZHANG¹, XIAOXIAO ZHENG², LI ZHENG², XUEMEI LU², WEI CHEN², QUN XU^1,*, WEIXIN YU^1,*

BIOCELL, Vol.46, No.6, pp. 1493-1503, 2022, DOI:10.32604/biocell.2022.016962 - 07 February 2022

Abstract Although sorafenib has been found to prolong the survival time of patients with hepatocellular carcinoma (HCC), sorafenib resistance remains an important challenge. Increasing studies have demonstrated that long noncoding RNAs (lncRNAs) contribute to drug resistance in a wide number of cancers. Human periodontal ligament stem cell (PDLSC) osteogenesis impairment-related lncRNA (POIR) is a recently defined lncRNA for which little is known regarding its function. Our study aimed to reveal the role of POIR in the development of HCC cell sorafenib resistance. The level of POIR expression in patients and tumor cells was examined by Reverse… More >

Ling Sun^1,#, Chengcheng Pang^1,#, Xiaoyan Wang^2,#, Mingguo Xu³, Zhiwei Zhang^1,*, Shushui Wang^1,*

Congenital Heart Disease, Vol.17, No.2, pp. 201-214, 2022, DOI:10.32604/chd.2022.018453 - 26 January 2022

Abstract Background: Partial anomalous pulmonary venous connection (PAPVC) is frequently associated with atrial septal defect (ASD), especially sinus venosus defect (SVD). Although Waggstaffe described the pathology of SVDs in 1868, the exact anatomic features and the nature of SVD remains controversial. SVDs with no posterior atrial rim were observed in recent years. However, no studies suggested that absence of the residual posterior atrial septal tissue might be the key feature of SVD. The aims of this study were to investigate if absence of posterior rim of atrial septum played a crucial role in patients with SVD. Methods:… More >

Wei Xiong^1,2, Xianshan Li^1,2,*, Yu Zou³, Shiwei Su^1,2, Li Zhi^1,2

Energy Engineering, Vol.119, No.2, pp. 755-765, 2022, DOI:10.32604/ee.2022.018009 - 24 January 2022

Abstract Among the end-users of the power grid, especially in the rural power grid, there are a large number of users and the situation is complex. In this complex situation, there are more leakage caused by insulation damage and a small number of users stealing electricity. Maintenance staff will take a long time to determine the location of the abnormal user meter box. In view of this situation, the method of subjective fuzzy clustering and quartile difference is adopted to determine the partition threshold. The power consumption data of end-users are divided into three regions: high, More >