Zhenyu Zhang¹, Quan Jin¹, Haitao Zhang¹, Zhao Liu¹, Yuyang Wu², Longfei Zhang², Renzhang Yan^2,*

Structural Durability & Health Monitoring, Vol.19, No.1, pp. 167-191, 2025, DOI:10.32604/sdhm.2024.053190 - 15 November 2024

Abstract When the upper chord beam of the beam-string structure (BSS) is made of concrete-filled steel tube (CFST), its overall stiffness will change greatly with the construction of concrete placement, which will have an impact on the design of the tensioning plans and selection of control measures for the BSS. In order to accurately obtain the bending stiffness of CFST beam and clarify its impact on the mechanical properties of composite BSS during construction, the influence of some factors such as height-width ratio, wall thickness of steel tube, elasticity modulus of concrete, and friction coefficient on More >

Shuai Cao^1,3, Jianan Liang^1,2,*, Yongjun Cao^1,2,3,4, Jinglun Huang^1,4, Zhishu Yang^1,4

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 1491-1509, 2024, DOI:10.32604/cmc.2024.049314 - 15 October 2024

Abstract The employment of deep convolutional neural networks has recently contributed to significant progress in single image super-resolution (SISR) research. However, the high computational demands of most SR techniques hinder their applicability to edge devices, despite their satisfactory reconstruction performance. These methods commonly use standard convolutions, which increase the convolutional operation cost of the model. In this paper, a lightweight Partial Separation and Multiscale Fusion Network (PSMFNet) is proposed to alleviate this problem. Specifically, this paper introduces partial convolution (PConv), which reduces the redundant convolution operations throughout the model by separating some of the features of… More >

Jinxing Liu^1,*, Binying Wang¹, Changqing Peng¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011544

Abstract Unlike classical condensed matters with the characteristic microstructural size far smaller than the undergoing wavelength, lattice metamaterials call for a kind of subwavelength continuum modeling, which should be able to provide successful predictions throughout the first Brillouin zone. We classify lattices into two groups. The first category stands for the mass-spring systems composed of dump masses and massless springs, for which three attempts have been made: the strain gradient continuum based on wavelength-dependent Taylor’s expansion [1, 2], Pade approximation [3] and Symbiotic Optimal Search (SOS) [4], respectively. The results of these newly developed models agree… More >

Jiayu Chen¹, Yingchun Bai^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.011393

Abstract Mega-casting techniques are widely used to manufacture large piece of thin-walled structures for vehicle body in Automotive industries, especially with the rapid growing electric vehicle market. Topology optimization is effective design method to reach higher mechanical performance yet lightweight potential for casting structures [1-3]. Most of existing works is focused on geometric-type casting constraints such as drawn angle, partion line, undercut, and enclose holes. However, the challenges in mega-casting arise from the complexities in the casting process such as filling and solidification, and the corresponding defects have larger influences on the structural performances [4-6]. Partial… More >

Winston Wai Shing Ma¹, Lei Zhang^2,3, Junhao Ding¹, Shuo Qu¹, Xu Song^1,*, Michael Yu Wang^4,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011319

Abstract Elastically isotropic open-cell lattice metamaterials exhibit identical elastic properties along arbitrary directions, and are ideal candidates for applications with unknown primary loading directions. Their open-cell properties are preferred for additive manufacturing processes and multifunctional applications requiring mass and heat transfer. This presentation focuses on the design, simulation, fabrication, and experimental tests of elastically isotropic open-cell lattice metamaterials with superior stiffness. First, a family of elastically isotropic truss lattices are analytically devised through combining elementary cubic lattices with contrary elastic anisotropy. The proposed stretching-dominated truss lattices can reach nearly 1/3 of the Hashin-Shtrikman upper bounds at… More >

JING WANG^1,#, JUNFENG XU^2,#, YINGRAN YANG¹, YOUZHENG QIU¹, SHANSHAN ZHANG³, NING WANG^1,3,*

BIOCELL, Vol.48, No.9, pp. 1343-1353, 2024, DOI:10.32604/biocell.2024.051673 - 04 September 2024

Abstract Objective: This study aimed to elucidate the influence of IFN-gamma (IFN-γ) in neuroblastoma (NB) cells and reveal its potential underlying molecular mechanism. Methods: The Cell Counting Kit-8, Transwell apparatus, and flow cytometry were employed to assess cellular viability, migratory capacity, invasive potential, and apoptotic rates, respectively. RNA-seq combined with bioinformatics analysis revealed differentially expressed genes (DEGs) and their possible biological functions. Protein levels were determined by western blot analysis. Results: IFN-γ treatment resulted in diminished cell viability, mitigated migratory and invasive capabilities, and augmented apoptotic activity in the SK-N-BE (2) cell line, whereas it exhibited the… More >

Chengzhang Zhu^1,2, Renmao Zhang¹, Yalong Xiao^1,2,*, Beiji Zou¹, Xian Chai¹, Zhangzheng Yang¹, Rong Hu³, Xuanchu Duan⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 1103-1128, 2024, DOI:10.32604/cmes.2024.048453 - 16 April 2024

Abstract Automatic segmentation of medical images provides a reliable scientific basis for disease diagnosis and analysis. Notably, most existing methods that combine the strengths of convolutional neural networks (CNNs) and Transformers have made significant progress. However, there are some limitations in the current integration of CNN and Transformer technology in two key aspects. Firstly, most methods either overlook or fail to fully incorporate the complementary nature between local and global features. Secondly, the significance of integrating the multi-scale encoder features from the dual-branch network to enhance the decoding features is often disregarded in methods that combine… More >

Zhijian Liu^*

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3787-3803, 2024, DOI:10.32604/cmc.2024.048998 - 26 March 2024

Abstract Considering the variations in imaging sizes of the unmanned aerial vehicles (UAV) at different aerial photography heights, as well as the influence of factors such as light and weather, which can result in missed detection and false detection of the model, this paper presents a comprehensive detection model based on the improved lightweight You Only Look Once version 8s (YOLOv8s) algorithm used in natural light and infrared scenes (L_YOLO). The algorithm proposes a special feature pyramid network (SFPN) structure and substitutes most of the neck feature extraction module with the Special deformable convolution feature extraction… More >

Hong Huang¹, Xingxing Zhang^1,*, Ye Lu¹, Ze Li¹, Shaohua Zhou²

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3929-3951, 2024, DOI:10.32604/cmc.2024.047918 - 26 March 2024

Abstract While encryption technology safeguards the security of network communications, malicious traffic also uses encryption protocols to obscure its malicious behavior. To address the issues of traditional machine learning methods relying on expert experience and the insufficient representation capabilities of existing deep learning methods for encrypted malicious traffic, we propose an encrypted malicious traffic classification method that integrates global semantic features with local spatiotemporal features, called BERT-based Spatio-Temporal Features Network (BSTFNet). At the packet-level granularity, the model captures the global semantic features of packets through the attention mechanism of the Bidirectional Encoder Representations from Transformers (BERT)… More >

Kun Yang^1,2,3, Shilong Chang¹, Yucheng Wang¹, Minghui Wang¹, Jiahui Yang¹, Shuang Liu^1,2,3, Kun Liu^1,2,3, Linyan Xue^1,2,3,*

CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 393-410, 2024, DOI:10.32604/cmc.2023.044994 - 30 January 2024

Abstract Clear cell renal cell carcinoma (ccRCC) represents the most frequent form of renal cell carcinoma (RCC), and accurate International Society of Urological Pathology (ISUP) grading is crucial for prognosis and treatment selection. This study presents a new deep network called Multi-scale Fusion Network (MsfNet), which aims to enhance the automatic ISUP grade of ccRCC with digital histopathology pathology images. The MsfNet overcomes the limitations of traditional ResNet50 by multi-scale information fusion and dynamic allocation of channel quantity. The model was trained and tested using 90 Hematoxylin and Eosin (H&E) stained whole slide images (WSIs), which… More >