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  • Open Access

    ARTICLE

    New Class of Doubt Bipolar Fuzzy Sub Measure Algebra

    Shadia Majeed Noori1,2, Abd Ghafur Ahmad1, Shuker Mahmood Khalil3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 293-300, 2023, DOI:10.32604/cmes.2022.021887

    Abstract The ideas of ambiguous bipolar skepticism under algebra and closed skepticism ambiguous bipolar ideals and related features have been developed. The fuzzy measure ideal is described in terms of bipolar ambiguous measure algebra and bipolar skepticism, and the linkages between bipolar fuzzy measure algebra are determined. A bipolar misty ideal’s skepticism is examined. In BCW and BCL-measure algebra, homogeneous ideas and dubious pictures of fuzzy bipolar measure ideas are examined. Also, we gave the relationship between these concepts. Finally, it is given the perfect terms for an occult bipolar doubt to be a measure of ideal fuzzy bipolar closed doubt. More >

  • Open Access

    ARTICLE

    ABCC8 is correlated with immune cell infiltration and overall survival in lower grade glioma

    LIPING GONG1, MING JIA2,*

    BIOCELL, Vol.47, No.1, pp. 109-123, 2023, DOI:10.32604/biocell.2023.024620

    Abstract ATP binding cassette subfamily C member 8 (ABCC8) encodes a protein regulating the ATP-sensitive potassium channel. Whether the level of ABCC8 mRNA in lower grade glioma (LGG) correlates with immune cell infiltration and patient outcomes has not been evaluated until now. Comparisons of ABCC8 expression between different tumors and normal tissues were evaluated by exploring publicly available datasets. The association between ABCC8 and tumor immune cell infiltration, diverse gene mutation characteristics, tumor mutation burden (TMB), and survival in LGG was also investigated in several independent datasets. Pathway enrichment analysis was conducted to search for ABCC8-associated signaling pathways. Through an online… More >

  • Open Access

    ARTICLE

    In Vitro Anti-Bacterial and Anti-Fungal Activities of Extracts from Different Parts of 7 Zingiberaceae Plants

    Lixian Wu1,#, Yongquan Li1,#, Qiaoguang Li2, Jingxuan Li1, Qinghua Lao1, Yucheng Zhong1, Hui Zhang1,*, Xiu Hu1,*

    Journal of Renewable Materials, Vol.11, No.2, pp. 975-989, 2023, DOI:10.32604/jrm.2022.023547

    Abstract This study aimed to explore the anti-bacterial and anti-fungal activities of extracts from different parts of plants in the Zingiberaceae family. The inhibitory rate, minimum inhibitory concentration (MIC), and minimum bactericidal concentration (MBC) of leaf and stem, and root and rhizome extracts from Alpinia katsumadai Hayata, Alpinia oxyphylla Miq × Alpinia henryi K. Schumann, Alpinia oblongifolia Hayata, Alpinia nigra (Gaertn.) Burtt, Amomum villosum Lour, Alpinia zerumbet (Pers.) Burtt. et Smith and Alpinia oxyphylla Miq were determined using the fungus cake method and double dilution method. The seven Zingiberaceae plants exhibited characteristic antibacterial activities against pathogenic bacteria and fungi. At a… More >

  • Open Access

    ARTICLE

    Towards Fully Secure 5G Ultra-Low Latency Communications: A Cost-Security Functions Analysis

    Borja Bordel1,*, Ramón Alcarria1, Joaquin Chung2, Rajkumar Kettimuthu2, Tomás Robles1, Iván Armuelles3

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 855-880, 2023, DOI:10.32604/cmc.2023.026787

    Abstract Future components to enhance the basic, native security of 5G networks are either complex mechanisms whose impact in the requiring 5G communications are not considered, or lightweight solutions adapted to ultra-reliable low-latency communications (URLLC) but whose security properties remain under discussion. Although different 5G network slices may have different requirements, in general, both visions seem to fall short at provisioning secure URLLC in the future. In this work we address this challenge, by introducing cost-security functions as a method to evaluate the performance and adequacy of most developed and employed non-native enhanced security mechanisms in 5G networks. We categorize those… More >

  • Open Access

    ARTICLE

    A Novel Approach for Improving the PQ in SPIM

    P. Jenitha Deepa*, H. Habeebullah Sait

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 2703-2715, 2023, DOI:10.32604/iasc.2023.030496

    Abstract Single Phase Induction Motor (SPIM) is widely used in industries at starting stage to provide high starting torque. The objective of the work is to develop a drive for Single Phase Induction Motor that does not use a start or run capacitor. In this work, the researchers present the details about Maximum Power Point Tracking using series-compensated Buck Boost Converter, resonant Direct Current (DC) to Alternate Current (AC) inverter and matrix converter-based drive. The proposed method provides a variable starting torque feature that can be adjusted depending upon machine load to ensure Power Quality (PQ). The system uses Series Compensated… More >

  • Open Access

    ARTICLE

    MCBC-SMOTE: A Majority Clustering Model for Classification of Imbalanced Data

    Jyoti Arora1, Meena Tushir2, Keshav Sharma1, Lalit Mohan1, Aman Singh3,*, Abdullah Alharbi4, Wael Alosaimi4

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 4801-4817, 2022, DOI:10.32604/cmc.2022.025960

    Abstract Datasets with the imbalanced class distribution are difficult to handle with the standard classification algorithms. In supervised learning, dealing with the problem of class imbalance is still considered to be a challenging research problem. Various machine learning techniques are designed to operate on balanced datasets; therefore, the state of the art, different under-sampling, over-sampling and hybrid strategies have been proposed to deal with the problem of imbalanced datasets, but highly skewed datasets still pose the problem of generalization and noise generation during resampling. To over-come these problems, this paper proposes a majority clustering model for classification of imbalanced datasets known… More >

  • Open Access

    ARTICLE

    Reducing the Range of Cancer Risk on BI-RADS 4 Subcategories via Mathematical Modelling

    Nezihal Gokbulut1,2, Evren Hincal1,2,*, Hasan Besim3, Bilgen Kaymakamzade1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.1, pp. 93-109, 2022, DOI:10.32604/cmes.2022.019782

    Abstract Breast Imaging Reporting and Data System, also known as BI-RADS is a universal system used by radiologists and doctors. It constructs a comprehensive language for the diagnosis of breast cancer. BI-RADS 4 category has a wide range of cancer risk since it is divided into 3 categories. Mathematical models play an important role in the diagnosis and treatment of cancer. In this study, data of 42 BI-RADS 4 patients taken from the Center for Breast Health, Near East University Hospital is utilized. Regarding the analysis, a mathematical model is constructed by dividing the population into 4 compartments. Sensitivity analysis is… More >

  • Open Access

    ARTICLE

    Long Noncoding RNA FOXC2-AS1 Predicts Poor Survival in Breast Cancer Patients and Promotes Cell Proliferation

    Haisong Yang*, Tengxiang Chen, Shu Xu, Shiyong Zhang*, Mengmeng Zhang*

    Oncology Research, Vol.27, No.2, pp. 219-226, 2019, DOI:10.3727/096504018X15213126075068

    Abstract Breast cancer (BC) is the most common malignant tumor in women. Recently, long noncoding RNAs (lncRNAs) have been proposed as critical regulators in biological processes, including tumorigenesis. FOXC2-AS1, a single antisense oligonucleotide RNA transcribed from the negative strand of forkhead box protein C2 (FOXC2), has been identified as an oncogene in osteosarcoma. In the present study, we investigated the prognosis value and biological role of FOXC2-AS1 in BC. Our findings revealed that FOXC2-AS1 was significantly increased in BC tissues and cell lines, and Kaplan–Meier survival analysis indicated that a high level of FOXC2-AS1 was associated with poor prognosis of BC… More >

  • Open Access

    ARTICLE

    Luteolin Suppresses Teratoma Cell Growth and Induces Cell Apoptosis via Inhibiting Bcl-2

    Teng Liu*, Juan Xu, Hong Li Yan, Feng Chun Cheng*, Xi Jie Liu*

    Oncology Research, Vol.27, No.7, pp. 773-778, 2019, DOI:10.3727/096504018X15208986577685

    Abstract Luteolin, which is found in plant foods, has a range of therapeutic applications. In order to examine the potential roles of luteolin in ovarian teratocarcinoma, the human ovarian teratocarcinoma cell line PA-1 was selected for functional experiments in vitro and in vivo. We demonstrated that luteolin inhibited the proliferation and colony formation of PA-1 cells in vitro. The flow cytometry results suggested that luteolin induced apoptosis of PA-1 cells in a dose-dependent manner. Immunofluorescence and qRT-PCR results showed that the expression of B-cell lymphoma-2 (Bcl-2) was decreased in luteolin-treated cells, whereas the expression of Bcl-2- associated X (Bax) was increased… More >

  • Open Access

    ARTICLE

    lncRNA BCAR4 Increases Viability, Invasion, and Migration of Non-Small Cell Lung Cancer Cells by Targeting Glioma-Associated Oncogene 2 (GLI2)

    Hongliang Yang*1, Lei Yan†1, Kai Sun, Xiaodong Sun, Xudong Zhang,§ Kerui Cai, Tiejun Song*

    Oncology Research, Vol.27, No.3, pp. 359-369, 2019, DOI:10.3727/096504018X15220594629967

    Abstract This study aimed to explore the effects of lncRNA BCAR4 on the viability and aggressiveness of non-small cell lung cancer (NSCLC) cells. qRT-PCR was used to determine the expression of BCAR4 and GLI2 downstream genes in NSCLC tissues and cell lines. Chromatin isolation by RNA purification (CHIRP) and Western blot were employed to measure the expression of the GLI2 downstream proteins. Ki-67 expression in nude mice tumors was tested by immunohistochemistry. MTT assay, wound healing assay, and Transwell assay were used to assess NSCLC cell viability and aggressiveness, respectively. Tumor xenograft was conducted to determine the effects of BCAR4 and… More >

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