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  • Open Access

    ARTICLE

    Basal cell carcinoma stem cells exhibit osteogenic and chondrogenic differentiation potential

    MAJA MILOSEVIC1,2, MILOS LAZAREVIC1,2, BOSKO TOLJIC1, MILAN PETROVIC2, MIROSLAV VUKADINOVIC2, ZORAN JEZDIC2, BOBAN ANICIC2, DRAGO JELOVAC2, SVETLANA JOVANOVIC3, JELENA MILASIN1,*

    BIOCELL, Vol.45, No.6, pp. 1543-1550, 2021, DOI:10.32604/biocell.2021.015060 - 01 September 2021

    Abstract Specific cell subpopulations identified as cancer stem cells (CSCs) can be found in basal cell carcinoma (BCC). Generally, CSCs have a marked trans-differentiation potential that could potentially be used in differentiation therapies. However, there are no studies regarding BCC CSCs multipotency. The aim of the study was to analyze the characteristic of CSCs of BCC with emphasis on their differentiation potential upon specific induction. Specific staining and cell morphology were used for differentiation confirmation, along with the expression analysis of osteogenic (ALP, BSP, Runx2, OCN, BMP2), chondrogenic (COL1 and COL2A1), adipogenic (PPAR-γ) and neurogenic (Nestin More >

  • Open Access

    ARTICLE

    An Efficient Hybrid PAPR Reduction for 5G NOMA-FBMC Waveforms

    Arun Kumar1,*, Sivabalan Ambigapathy2, Mehedi Masud3, Emad Sami Jaha4, Sumit Chakravarty5, Kanchan Sengar1

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 2967-2981, 2021, DOI:10.32604/cmc.2021.019092 - 24 August 2021

    Abstract The article introduces Non-Orthogonal Multiple Access (NOMA) and Filter Bank Multicarrier (FBMC), known as hybrid waveform (NOMA-FBMC), as two of the most deserving contenders for fifth-generation (5G) network. High spectrum access and clampdown of spectrum outflow are unique characteristics of hybrid NOMA-FBMC. We compare the spectral efficiency of Orthogonal Frequency Division Multiplexing (OFDM), FBMC, NOMA, and NOMA-FBMC. It is seen that the hybrid waveform outperforms the existing waveforms. Peak to Average Power Ratio (PAPR) is regarded as a significant issue in multicarrier waveforms. The combination of Selective Mapping-Partial Transmit Sequence (SLM-PTS) is an effective way More >

  • Open Access

    ARTICLE

    Lowest-Opportunities User First-Based Subcarrier Allocation Algorithm for Downlink NOMA Systems

    Mohammed Abd-Elnaby*, Sameer Alsharif, Hesham Alhumyani, Fahad Alraddady

    Intelligent Automation & Soft Computing, Vol.30, No.3, pp. 1033-1048, 2021, DOI:10.32604/iasc.2021.019341 - 20 August 2021

    Abstract Non-orthogonal multiple access (NOMA) is one of the promising 5G technologies to improve spectral efficiency massive connectivity and cell-edge throughput. The performance of NOMA systems mainly depends on the efficiency of the subcarrier allocation algorithm. This paper aims to jointly optimize spectral efficiency (SE), outage probability, and fairness among users with respect to the subcarrier allocation for downlink NOMA systems. We propose a low-complexity greedy-based subcarrier allocation algorithm based on the lowest-opportunities user’s first precept. This precept is based on computing the number of opportunities for each user to select a subcarrier with good channel More >

  • Open Access

    ARTICLE

    Early Detection of Lung Carcinoma Using Machine Learning

    A. Sheryl Oliver1, T. Jayasankar2, K. R. Sekar3,*, T. Kalavathi Devi4, R. Shalini5, S. Poojalaxmi5, N. G. Viswesh5

    Intelligent Automation & Soft Computing, Vol.30, No.3, pp. 755-770, 2021, DOI:10.32604/iasc.2021.016242 - 20 August 2021

    Abstract Lung cancer is a poorly understood disease. Smokers may develop lung cancer due to the inhalation of carcinogenic substances while smoking, but non-smokers may develop this disease as well. Lung cancer can spread to other parts of the body and this process is called metastasis. Because the lung cancer is difficult to identify in the initial stages. The objective of this work is to reduce the mortality rate of the disease by identifying it at an earlier stage based on the existing symptoms. Artificial intelligence plays active roles in tasks such as entropy extraction through… More >

  • Open Access

    ARTICLE

    Deep Learning Anomaly Detection Based on Hierarchical Status-Connection Features in Networked Control Systems

    Jianming Zhao1,2,3,4, Peng Zeng1,2,3,4,*, Chunyu Chen1,2,3,4, Zhiwei Dong5, Jongho Han6

    Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 337-350, 2021, DOI:10.32604/iasc.2021.016966 - 26 July 2021

    Abstract As networked control systems continue to be widely used in large-scale industrial productions, industrial cyber-attacks have become an inevitable problem that can cause serious damage to critical infrastructures. In practice, industrial intrusion detection has been widely acknowledged to detect abnormal communication behaviors. However, unlike traditional IT systems, networked control systems have their own communication characteristics due to specific industrial communication protocols. Thus, simple cyber-attack modeling is inadequate and impractical for high-efficiency intrusion detection because the characteristics of network control systems are less considered. Based on the status information and transmission connection in industrial communication data… More >

  • Open Access

    ARTICLE

    Few-Shot Learning for Discovering Anomalous Behaviors in Edge Networks

    Merna Gamal1, Hala M. Abbas2, Nour Moustafa3,*, Elena Sitnikova3, Rowayda A. Sadek1

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1823-1837, 2021, DOI:10.32604/cmc.2021.012877 - 21 July 2021

    Abstract Intrusion Detection Systems (IDSs) have a great interest these days to discover complex attack events and protect the critical infrastructures of the Internet of Things (IoT) networks. Existing IDSs based on shallow and deep network architectures demand high computational resources and high volumes of data to establish an adaptive detection engine that discovers new families of attacks from the edge of IoT networks. However, attackers exploit network gateways at the edge using new attacking scenarios (i.e., zero-day attacks), such as ransomware and Distributed Denial of Service (DDoS) attacks. This paper proposes new IDS based on… More >

  • Open Access

    ARTICLE

    Retinoic acid affects basic cellular processes and SOX2 and SOX18 expression in breast carcinoma cells

    ISIDORA PETROVIC1, MILENA MILIVOJEVIC1, ANA ARSENIJEVIC2, ANDRIJANA LAZIC1, NATASA KOVACEVIC GRUJICIC1, MARIJA SCHWIRTLICH1, JELENA POPOVIC3, MILENA STEVANOVIC1,4,5,*

    BIOCELL, Vol.45, No.5, pp. 1355-1367, 2021, DOI:10.32604/biocell.2021.015817 - 12 July 2021

    Abstract Genetic and molecular heterogeneity, together with intrinsic and acquired resistance to therapy, represent the major obstacles to the successful treatment of different types of breast carcinoma. Increasing evidence demonstrates that SOX transcription factors in breast carcinomas could act both as oncogenes and tumor suppressors and have been associated with tumor stage and grade, poor prognosis, and therapy resistance. Both SOX2 and SOX18 overexpression has been correlated with poor prognosis in breast carcinomas, and these genes are recognized as potential antitumor targets. Our aim was to evaluate the effect of retinoic acid (RA), a well-known cyto-differentiating agent,… More >

  • Open Access

    ARTICLE

    Invasive Stratified Mucin-Producing Carcinoma (ISMC) of the uterine cervix: An analysis of 6 cases with distinctive clinicopathological features

    TING LAN, SHENG QIN, XIAOJIN GONG, PING ZHENG, JIAXIN YAN, YANG LIU*

    BIOCELL, Vol.45, No.5, pp. 1313-1319, 2021, DOI:10.32604/biocell.2021.015923 - 12 July 2021

    Abstract Invasive stratified mucin-producing carcinoma (ISMC) is a recently described histologic variant of high-risk human papillomavirus (HPV)-associated endocervical adenocarcinoma, as the putative invasive counterpart of the stratified mucin-producing intraepithelial lesion (SMILE). ISMC can display variable architectural patterns and usually coexists with other more conventional types of HPV-associated carcinomas, which makes diagnosis and differential diagnosis of ISMC is difficult for pathologists. Moreover, the prognosis of ISMC is still controversial. We analyzed 6 ISMCs with detailed pathological and clinical information. Intraepithelial lesion, including 1 high-grade squamous intraepithelial lesion and 1 SMILE, was found. Various architectures were observed (including… More >

  • Open Access

    CASE REPORT

    Combined Surgical Treatment of Atherosclerotic Coronary Artery Disease and Moderate Aortic Valve Stenosis in Patient with Concomitant Lipton’s R-III Type of Single Coronary Artery Anomaly

    Milica Karadzic Kocica1, Hristina Ugrinovic1, Dejan Lazovic2, Nemanja Karamarkovic2, Milos Grujic2, Borivoje Lukic3, Oliver Radmili3, Vladimir Cvetic3, Mladen Kocica2,*

    Congenital Heart Disease, Vol.16, No.6, pp. 647-653, 2021, DOI:10.32604/CHD.2021.016923 - 08 July 2021

    Abstract A single coronary artery is a very rare condition, commonly associated with other congenital anomalies. It could be generally considered as neither benign nor malignant form of congenital coronary artery anomalies since its pathophysiological and clinical implications grossly depend on different anatomical patterns defined by the site of origin and distribution of the branches. By presenting the patient who underwent successful coronary artery bypass grafting and aortic valve replacement surgery in a presence of isolated single coronary artery, we intend to emphasize natural and procedural risks and distinguish casual from causal in this extremely rare More >

  • Open Access

    ARTICLE

    Multi-Layer Reconstruction Errors Autoencoding and Density Estimate for Network Anomaly Detection

    Ruikun Li1,*, Yun Li2, Wen He1,3, Lirong Chen1, Jianchao Luo1

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.1, pp. 381-398, 2021, DOI:10.32604/cmes.2021.016264 - 28 June 2021

    Abstract Anomaly detection is an important method for intrusion detection. In recent years, unsupervised methods have been widely researched because they do not require labeling. For example, a nonlinear autoencoder can use reconstruction errors to attain the discrimination threshold. This method is not effective when the model complexity is high or the data contains noise. The method for detecting the density of compressed features in a hidden layer can be used to reduce the influence of noise on the selection of the threshold because the density of abnormal data in hidden layers is smaller than normal… More >

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