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 >

Xinwei Wang^1,2,*, Ming Li¹, Hankun Bing¹, Dongxing Zhang¹, Yuanshu Zhang¹

Energy Engineering, Vol.121, No.12, pp. 3875-3898, 2024, DOI:10.32604/ee.2024.056237 - 22 November 2024

Abstract After long-term operation, the performance of components in the GTCC system deteriorates and requires timely maintenance. Due to the inability to directly measure the degree of component malfunction, it is necessary to use advanced exergy analysis diagnosis methods to characterize the components’ health condition (degree of malfunction) through operation data of the GTCC system. The dissipative temperature is used to describe the degree of malfunction of different components in the GTCC system, and an advanced exergy analysis diagnostic method is used to establish a database of overall operating condition component malfunctions in the GTCC system.… More >

Tao Yan¹, Javed Rashid^2,3, Muhammad Shoaib Saleem^3,4, Sajjad Ahmad⁴, Muhammad Faheem^5,*

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2685-2708, 2024, DOI:10.32604/cmc.2024.058186 - 18 November 2024

Abstract Electricity is essential for keeping power networks balanced between supply and demand, especially since it costs a lot to store. The article talks about different deep learning methods that are used to guess how much green energy different Asian countries will produce. The main goal is to make reliable and accurate predictions that can help with the planning of new power plants to meet rising demand. There is a new deep learning model called the Green-electrical Production Ensemble (GP-Ensemble). It combines three types of neural networks: convolutional neural networks (CNNs), gated recurrent units (GRUs), and… More >

Jeng-Shyang Pan^1,2, Wenda Li¹, Shu-Chuan Chu^1,*, Xiao Sui¹, Junzo Watada³

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3033-3062, 2024, DOI:10.32604/cmc.2024.056310 - 18 November 2024

Abstract The growth optimizer (GO) is an innovative and robust metaheuristic optimization algorithm designed to simulate the learning and reflective processes experienced by individuals as they mature within the social environment. However, the original GO algorithm is constrained by two significant limitations: slow convergence and high memory requirements. This restricts its application to large-scale and complex problems. To address these problems, this paper proposes an innovative enhanced growth optimizer (eGO). In contrast to conventional population-based optimization algorithms, the eGO algorithm utilizes a probabilistic model, designated as the virtual population, which is capable of accurately replicating the… More >

MAHDI ABDOLI SHADBAD¹, BEHZAD BARADARAN^2,*

Oncology Research, Vol.32, No.12, pp. 1949-1958, 2024, DOI:10.32604/or.2024.051569 - 13 November 2024

Abstract Background: Glioblastoma remains a highly invasive primary brain malignancy with an undesirable prognosis. Growing evidence has shed light on the importance of microRNAs (miRs), as small non-coding RNAs, in tumor development and progression. The present study leverages the in-silico and in-vitro techniques to investigate the significance of hsa-miR-181a-5p and the underlying hsa-miR-181a-5p-meidated signaling pathway in glioblastoma development. Methods: Bioinformatic studies were performed on GSE158284, GSE108474 (REMBRANDT study), TCGA-GTEx, CCLE, GeneMANIA, Reactome, WikiPathways, KEGG, miRDB, and microT-CDS to identify the significance of hsa-miR-181a-5p and its underlying target. Afterward, the U373 cell line was selected and transfected with… More >

CHAOQUN WANG¹, TING ZHANG², CHAOHE ZHANG^3,*

Oncology Research, Vol.32, No.12, pp. 1867-1879, 2024, DOI:10.32604/or.2024.044547 - 13 November 2024

Abstract Background: Drug resistance is the main factor contributing to cancer recurrence and poor prognosis. Exploration of drug resistance-related mechanisms and effective therapeutic targets are the aim of molecular targeted therapy. In our study, the role of long non-coding RNA (lncRNA) AFAP1-AS1 in gemcitabine resistance and related mechanisms were explored in cervical cancer cells. Methods: Gemcitabine-resistant cervical cancer cell lines HT-3-Gem and SW756-Gem were constructed using the gemcitabine concentration gradient method. The overall survival rates and recurrence-free survival rates were evaluated by Kaplan-Meier analysis. The interaction was verified through a Dual-luciferase reporter gene assay and a… More > Graphic Abstract

Cheng Hou¹, Xiaochao Jin², Xueling Fan^2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012325

Abstract The over-deterministic method (ODM) is dedicated to calculate a small set of unknown coefficients from a large system of equations, by making use of a large number of data points. A displacement over-deterministic method (DODM) developed by Ayatollahi et al. [1] has been employed by for calculating the stress intensity factors (SIFs) as well as the coefficients of the higher-order terms in the Williams’ series expansions for cracked bodies. The ODM provides a great idea to easily obtain fracture parameters, combine with finite element method (FEM).
In our work, a stress over-deterministic method (SODM) has been… More >

Ruiqi Pan¹, Wei Xiong², Liang Hao^1,*, Yan Li^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011651

Abstract As metal additive manufacturing (MAM) becomes more widely used in engineering, an increasing number of novel lattice structures are being developed. However, most recently developed lattice structures do not match the requirement of MAM efficiently. Based on the Design for Additive Manufacturing (DfAM), comparing the mainstream implicit and explicit modelling methods, it is proposed to introduce a Subdivisional (Sub-D) modelling method to model lattice structures with better modelling versatility, 3D printability, and mechanical properties. To this end, a novel negative Poisson's ratio (NPR) structure is developed as an example to demonstrate the efficient and wide… More >

Qinghao Zhang¹, Yijie Yang¹, Jiong Wu¹, Hongru Li¹, Yuan Li¹, Zuran Li^2,*, Yongmei He^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.10, pp. 2613-2628, 2024, DOI:10.32604/phyton.2024.056014 - 30 October 2024

Abstract In the present study, an indoor potting experiment was conducted to study the effects of enhanced UV-B radiation and Magnaporthe oryzae on the growth, stomatal structure, photosynthesis, and endogenous hormone contents of a traditional rice cultivar Baijiaolaojing in the Yuanyang terraces of Yunnan Province. In addition, the relationships between these parameters and disease indices were analyzed. We aimed to clarify the response of the photosynthetic physiology of rice under the combined stress of UV-B radiation and M. oryzae. Compared with the M. oryzae infection treatment, all the treatments, including M. oryzae infection before (MBR), simultaneously with (MSR), and after… More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.11, pp. 1829-1829, 2024, DOI:10.32604/or.2024.056904 - 16 October 2024

Abstract This article has no abstract. More >