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  • Open Access

    ARTICLE

    Multi-Scale Design and Optimization of Composite Material Structure for Heavy-Duty Truck Protection Device

    Yanhui Zhang1, Lianhua Ma1, Hailiang Su1,2,3,*, Jirong Qin2, Zhining Chen2, Kaibiao Deng1

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.045570

    Abstract In this paper, to present a lightweight-developed front underrun protection device (FUPD) for heavy-duty trucks, plain weave carbon fiber reinforced plastic (CFRP) is used instead of the original high-strength steel. First, the mechanical and structural properties of plain carbon fiber composite anti-collision beams are comparatively analyzed from a multi-scale perspective. For studying the design capability of carbon fiber composite materials, we investigate the effects of TC-33 carbon fiber diameter (D), fiber yarn width (W) and height (H), and fiber yarn density (N) on the front underrun protective beam of carbon fiber composite materials. Based on the investigation, a material-structure matching… More >

  • Open Access

    ARTICLE

    Effect of Bogie Cavity End Wall Inclination on Flow Field and Aerodynamic Noise in the Bogie Region of High-Speed Trains

    Jiawei Shi, Jiye Zhang*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.043539

    Abstract Combining the detached eddy simulation (DES) method and Ffowcs Williams-Hawkings (FW-H) equation, the effect of bogie cavity end wall inclination on the flow field and aerodynamic noise in the bogie region is numerically studied. First, the simulation is conducted based on a simplified cavity-bogie model, including five cases with different inclination angles of the front and rear walls of the cavity. By comparing and analyzing the flow field and acoustic results of the five cases, the influence of the regularity and mechanism of the bogie cavity end wall inclination on the flow field and the aerodynamic noise of the bogie… More >

  • Open Access

    ARTICLE

    The Level of Psychosocial Skills of Nurses Caring for Cancer Patients and Affecting Factors: Results of a Multicenter Study

    Nazmiye Yıldırım1, Perihan Güner2,*, Figen İnci3

    Psycho-Oncologie, Vol., , DOI:10.32604/po.2023.045294

    Abstract Caring for cancer patients requires both technical and psychosocial nursing skills. The aim of this study was to determine the psychosocial care skill levels of nurses and affecting factors. This multicenter, cross-sectional study was conducted with 1,189 nurses providing direct care to adult cancer patients in 32 hospitals in 12 geographical regions of Turkey. A questionnaire, the Psychosocial Skills Form, and the Professional Quality of Life Scale were used to collect the data. Nurses’ psychosocial skill level was in the range of 2.72 ± 0.98 and 2.47 ± 0.89 out of four points. Communication skills such as empathic response, active… More >

  • Open Access

    ARTICLE

    CircTHSD4 promotes the malignancy and docetaxel (DTX) resistance in prostate cancer by regulating miR-203/HMGA2 axis

    JIANYUN XIE1,*, LINJIE LU1, JIALI ZHANG1, QIRUI LI2, WEIDONG CHEN1,*

    Oncology Research, Vol., , DOI:10.32604/or.2023.031511

    Abstract Objective: Circular ribose nucleic acids (circRNAs) are implicated in tumor progression and drug resistance of prostate cancer (PCa). The current work explored the function of circ_0005203 (circTHSD4) in the malignancy and docetaxel (DTX) resistance of PCa. Methods: circTHSD4 expression within PCa as well as matched non-carcinoma samples was measured through real-time reverse transcription-quantitative polymerase chain reaction (RT-qPCR). In addition, a subcellular fraction assay was conducted to determine circTHSD4 subcellular localization within PCa cells. In addition, we performed a Western blot (WB) assay to detect high-mobility-group A2 protein (HMGA2) levels. Besides, functional associations of two molecules were investigated through dual luciferase… More >

  • Open Access

    ARTICLE

    DPY19L3 promotes vasculogenic mimicry by its C-mannosyltransferase activity

    HASSAN BAYDOUN1, YUJI KATO1, HIROKI KAMO1, ANNA HÜSCH1,2, HAYATO MIZUTA1, RYOTA KAWAHARA1, SIRO SIMIZU1,*

    Oncology Research, Vol., , DOI:10.32604/or.2023.030304

    Abstract C-mannosylation is a post-translational modification that occurs intracellularly in the endoplasmic reticulum. In humans, biosynthesis of C-mannosylation in proteins containing thrombospondin type 1 repeat is catalyzed by the DPY19 family; nonetheless, biological functions of protein C-mannosylation are not yet fully understood, especially in tumor progression. Vasculogenic mimicry (VM) is the formation of fluid-conducting channels by highly invasive and genetically deregulated tumor cells, enabling the tumors to form matrix-embedded vasculogenic structures, containing plasma and blood cells to meet the metabolic demands of rapidly growing tumors. In this study, we focused on DPY19L3, a C-mannosyltransferase, and aimed to unravel its role in… More >

  • Open Access

    ARTICLE

    Deep Learning-Based Digital Image Forgery Detection Using Transfer Learning

    Emad Ul Haq Qazi1,*, Tanveer Zia1, Muhammad Imran2, Muhammad Hamza Faheem1

    Intelligent Automation & Soft Computing, Vol., , DOI:10.32604/iasc.2023.041181

    Abstract Deep learning is considered one of the most efficient and reliable methods through which the legitimacy of a digital image can be verified. In the current cyber world where deepfakes have shaken the global community, confirming the legitimacy of a digital image is of great importance. With the advancements made in deep learning techniques, now we can efficiently train and develop state-of-the-art digital image forensic models. The most traditional and widely used method by researchers is convolution neural networks (CNN) for verification of image authenticity but it consumes a considerable number of resources and requires a large dataset for training.… More >

  • Open Access

    ARTICLE

    Abstractive Arabic Text Summarization Using Hyperparameter Tuned Denoising Deep Neural Network

    Ibrahim M. Alwayle1, Hala J. Alshahrani2, Saud S. Alotaibi3, Khaled M. Alalayah1, Amira Sayed A. Aziz4, Khadija M. Alaidarous1, Ibrahim Abdulrab Ahmed5, Manar Ahmed Hamza6,*

    Intelligent Automation & Soft Computing, Vol., , DOI:10.32604/iasc.2023.034718

    Abstract Abstractive text summarization is crucial to produce summaries of natural language with basic concepts from large text documents. Despite the achievement of English language-related abstractive text summarization models, the models that support Arabic language text summarization are fewer in number. Recent abstractive Arabic summarization models encounter different issues that need to be resolved. Syntax inconsistency is a crucial issue resulting in the low-accuracy summary. A new technique has achieved remarkable outcomes by adding topic awareness in the text summarization process that guides the module by imitating human awareness. The current research article presents Abstractive Arabic Text Summarization using Hyperparameter Tuned… More >

  • Open Access

    ARTICLE

    Coverless Image Steganography System Based on Maze Game Generation

    Al Hussien Seddik Saad1, Mohammed S. Reda2, Gamal M. Behery2, Ahmed A. El-harby2, Mohammed Baz3, Ahmed Ismail Ebada2, Mohamed Abouhawwash4,5,*

    Intelligent Automation & Soft Computing, Vol., , DOI:10.32604/iasc.2023.032084

    Abstract The trend of digital information transformation has become a topic of interest. Many data are threatening; thus, protecting such data from attackers is considered an essential process. Recently, a new methodology for data concealing has been suggested by researchers called coverless steganography. Coverless steganography can be accomplished either by building an image database to match its image subblocks with the secret message to obtain the stego image or by generating an image. This paper proposes a coverless image steganography system based on pure image generation using secret message bits with a capacity higher than the other traditional systems. The system… More >

  • Open Access

    ARTICLE

    News Modeling and Retrieving Information: Data-Driven Approach

    Elias Hossain1, Abdullah Alshahrani2, Wahidur Rahman3,*

    Intelligent Automation & Soft Computing, Vol., , DOI:10.32604/iasc.2022.029511

    Abstract This paper aims to develop Machine Learning algorithms to classify electronic articles related to this phenomenon by retrieving information and topic modelling. The Methodology of this study is categorized into three phases: the Text Classification Approach (TCA), the Proposed Algorithms Interpretation (PAI), and finally, Information Retrieval Approach (IRA). The TCA reflects the text preprocessing pipeline called a clean corpus. The Global Vectors for Word Representation (Glove) pre-trained model, FastText, Term Frequency-Inverse Document Frequency (TF-IDF), and Bag-of-Words (BOW) for extracting the features have been interpreted in this research. The PAI manifests the Bidirectional Long Short-Term Memory (Bi-LSTM) and Convolutional Neural Network… More >

  • Open Access

    ARTICLE

    Performance Simulation of a Double Tube Heat Exchanger Based on Different Nanofluids by Aspen Plus

    Fawziea M. Hussien1, Atheer S. Hassoon2,*, Ghaidaa M. Ahmed1

    Frontiers in Heat and Mass Transfer, Vol., , DOI:10.32604/fhmt.2023.047177

    Abstract A heat exchanger’s performance depends heavily on the operating fluid’s transfer of heat capacity and thermal conductivity. Adding nanoparticles of high thermal conductivity materials is a significant way to enhance the heat transfer fluid's thermal conductivity. This research used engine oil containing alumina (Al2O3) nanoparticles and copper oxide (CuO) to test whether or not the heat exchanger’s efficiency could be improved. To establish the most effective elements for heat transfer enhancement, the heat exchangers thermal performance was tested at 0.05% and 0.1% concentrations for Al2O3 and CuO nanoparticles. The simulation results showed that the percentage increase in Nusselt number (Nu)… More >

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