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  • Open Access

    ARTICLE

    Investigation of the Damping Abilities of Sheep Wool Reinforced Expanded Polystyrene Core Layer Composites at Different Energies

    İbrahim Yavuz1,*, Ercan Şimşir1, Kenan Budak2

    Journal of Polymer Materials, Vol.41, No.1, pp. 1-14, 2024, DOI:10.32604/jpm.2024.052279

    Abstract In this study, natural fiber reinforced polymer foam core layered composites were produced for the automotive industry. Sheep wool was used as natural fiber. Polymer foam with a single layer XPS foam structure was used as the core material. XPS foams and fibers are bonded to the upper and lower sides of the foams with the help of resin. Samples were produced with one and two layers on both sides, with a total of two and four layers. Production was carried out using the vacuum bagging method using the manual laying method. After the production More >

  • Open Access

    ARTICLE

    Learning Vector Quantization-Based Fuzzy Rules Oversampling Method

    Jiqiang Chen, Ranran Han, Dongqing Zhang, Litao Ma*

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 5067-5082, 2024, DOI:10.32604/cmc.2024.051494

    Abstract Imbalanced datasets are common in practical applications, and oversampling methods using fuzzy rules have been shown to enhance the classification performance of imbalanced data by taking into account the relationship between data attributes. However, the creation of fuzzy rules typically depends on expert knowledge, which may not fully leverage the label information in training data and may be subjective. To address this issue, a novel fuzzy rule oversampling approach is developed based on the learning vector quantization (LVQ) algorithm. In this method, the label information of the training data is utilized to determine the antecedent… More >

  • Open Access

    ARTICLE

    SGT-Net: A Transformer-Based Stratified Graph Convolutional Network for 3D Point Cloud Semantic Segmentation

    Suyi Liu1,*, Jianning Chi1, Chengdong Wu1, Fang Xu2,3,4, Xiaosheng Yu1

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4471-4489, 2024, DOI:10.32604/cmc.2024.049450

    Abstract In recent years, semantic segmentation on 3D point cloud data has attracted much attention. Unlike 2D images where pixels distribute regularly in the image domain, 3D point clouds in non-Euclidean space are irregular and inherently sparse. Therefore, it is very difficult to extract long-range contexts and effectively aggregate local features for semantic segmentation in 3D point cloud space. Most current methods either focus on local feature aggregation or long-range context dependency, but fail to directly establish a global-local feature extractor to complete the point cloud semantic segmentation tasks. In this paper, we propose a Transformer-based… More >

  • Open Access

    ARTICLE

    Scientific Elegance in NIDS: Unveiling Cardinality Reduction, Box-Cox Transformation, and ADASYN for Enhanced Intrusion Detection

    Amerah Alabrah*

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3897-3912, 2024, DOI:10.32604/cmc.2024.048528

    Abstract The emergence of digital networks and the wide adoption of information on internet platforms have given rise to threats against users’ private information. Many intruders actively seek such private data either for sale or other inappropriate purposes. Similarly, national and international organizations have country-level and company-level private information that could be accessed by different network attacks. Therefore, the need for a Network Intruder Detection System (NIDS) becomes essential for protecting these networks and organizations. In the evolution of NIDS, Artificial Intelligence (AI) assisted tools and methods have been widely adopted to provide effective solutions. However,… More >

  • Open Access

    ARTICLE

    An Imbalanced Data Classification Method Based on Hybrid Resampling and Fine Cost Sensitive Support Vector Machine

    Bo Zhu*, Xiaona Jing, Lan Qiu, Runbo Li

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3977-3999, 2024, DOI:10.32604/cmc.2024.048062

    Abstract When building a classification model, the scenario where the samples of one class are significantly more than those of the other class is called data imbalance. Data imbalance causes the trained classification model to be in favor of the majority class (usually defined as the negative class), which may do harm to the accuracy of the minority class (usually defined as the positive class), and then lead to poor overall performance of the model. A method called MSHR-FCSSVM for solving imbalanced data classification is proposed in this article, which is based on a new hybrid… More >

  • Open Access

    ARTICLE

    Rapid and Accurate Identification of Concrete Surface Cracks via a Lightweight & Efficient YOLOv3 Algorithm

    Haoan Gu1, Kai Zhu1, Alfred Strauss2, Yehui Shi3,4, Dragoslav Sumarac5, Maosen Cao1,*

    Structural Durability & Health Monitoring, Vol.18, No.4, pp. 363-380, 2024, DOI:10.32604/sdhm.2024.042388

    Abstract Concrete materials and structures are extensively used in transformation infrastructure and they usually bear cracks during their long-term operation. Detecting cracks using deep-learning algorithms like YOLOv3 (You Only Look Once version 3) is a new trend to pursue intelligent detection of concrete surface cracks. YOLOv3 is a typical deep-learning algorithm used for object detection. Owing to its generality, YOLOv3 lacks specific efficiency and accuracy in identifying concrete surface cracks. An improved algorithm based on YOLOv3, specialized in the rapid and accurate identification of concrete surface cracks is worthy of investigation. This study proposes a tailored… More >

  • Open Access

    ARTICLE

    Knockdown of Histone Methyltransferase hSETD1A Inhibits Progression, Migration, and Invasion in Human Hepatocellular Carcinoma

    Xin-sheng Cheng*†, Shi-bo Sun*, Feng Zhong*, Kun He*, Jie Zhou*

    Oncology Research, Vol.24, No.4, pp. 239-245, 2016, DOI:10.3727/096504016X14648701448011

    Abstract Our aim was to study the expression of human SET domain containing protein 1A (hSETD1A) in hepatocellular carcinoma patients and its relationship with human hepatocellular carcinoma cell function. A total of 30 patients with hepatocellular carcinoma were enrolled in this study. The expression of hSETD1A was detected by real-time polymerase chain reaction (PCR) and Western blotting. The immortalized normal human liver cell line including SMMC-7721 was subjected to real-time PCR for hSETD1A mRNA. Furthermore, hSETD1A-small hairpin RNA (shRNA) was used to knock down hSETD1A expression in SMMC-7721 cells. Cell proliferation, cell apoptosis, and cell migration More >

  • Open Access

    ARTICLE

    Downregulation of CREB Promotes Cell Proliferation by Mediating G1/S Phase Transition in Hodgkin Lymphoma

    Fangjin Lu*†, Ying Zheng, Paul Owusu Donkor*, Peng Zou§, Ping Mu

    Oncology Research, Vol.24, No.3, pp. 171-179, 2016, DOI:10.3727/096504016X14634208142987

    Abstract The cyclic-AMP response element-binding protein (CREB), a well-known nuclear transcription factor, has been shown to play an essential role in many cellular processes, including differentiation, cell survival, and cell proliferation, by regulating the expression of downstream genes. Recently, increased expression of CREB was frequently found in various tumors, indicating that CREB is implicated in the process of tumorigenesis. However, the effects of CREB on Hodgkin lymphoma (HL) remain unknown. To clarify the role of CREB in HL, we performed knockdown experiments in HL. We found that downregulation of CREB by short hairpin RNA (shRNA) resulted… More >

  • Open Access

    ARTICLE

    Gastrin Enhances Autophagy and Promotes Gastric Carcinoma Proliferation via Inducing AMPKα

    Zhuang Kun*†, Guo Hanqing*, Tang Hailing*, Yan Yuan*, Zhang Jun, Zhang Lingxia*, Han Kun*, Zhang Xin*

    Oncology Research, Vol.25, No.8, pp. 1399-1407, 2017, DOI:10.3727/096504016X14823648620870

    Abstract Gastric cancer (GC) is one of the most frequent epithelial malignancies worldwide. The gastrointestinal (GI) peptide gastrin is an important regulator of the secretion and release of gastric acid from stomach parietal cells, and it also plays a vital role in the development and progression of GC. The aim of the current study was to investigate the role and underlying mechanism of gastrin and autophagy in regulating GC tumorigenesis. Gastrin-17 amide (G-17) was applied in the GC cell lines SGC7901 and MGC-803. The results showed that G-17 maintained the high viability of SGC7901 and MGC-803.… More >

  • Open Access

    ARTICLE

    Physiological Mechanism of Exogenous Selenium in Alleviating Mercury Stress on Pakchoi (Brassica campestris L.)

    Chengxu Qian1, Qiangwen Chen1,2, Leiyu Jiang1, Xiaoyan Yang3, Shen Rao4, Weiwei Zhang1, Feng Xu1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.5, pp. 951-962, 2024, DOI:10.32604/phyton.2024.050893

    Abstract The objective of this study was to explain the physiological mechanisms through which NaSeO mitigates the growth and developmental inhibition of pakchoi under HgCl stress. The results showed that treatment with HgCl (40 mg L) led to reduced biomass, dwarfing, root shortening, and root tip necrosis in pakchoi. Compared to control (CK), the activities of superoxide dismutase (SOD) and peroxidase (POD) in Hg treatment increased, and the content of malondialdehyde (MDA) also dramatically increased, which negatively impacted the growth of pakchoi. Low concentrations of NaSeO (0.2 mg L) significantly increased the content of soluble sugars… More >

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