Dae-Kyoo Kim^*

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 3843-3872, 2025, DOI:10.32604/cmc.2025.062552 - 06 March 2025

Abstract Design patterns offer reusable solutions for common software issues, enhancing quality. The advent of generative large language models (LLMs) marks progress in software development, but their efficacy in applying design patterns is not fully assessed. The recent introduction of generative large language models (LLMs) like ChatGPT and CoPilot has demonstrated significant promise in software development. They assist with a variety of tasks including code generation, modeling, bug fixing, and testing, leading to enhanced efficiency and productivity. Although initial uses of these LLMs have had a positive effect on software development, their potential influence on the… More >

Lanxi Zhang¹, Yuming Peng¹, Yudong Wu^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.1, pp. 205-220, 2025, DOI:10.32604/fdmp.2024.056516 - 24 January 2025

Abstract The challenge of aerodynamic noise is a key obstacle in the advancement of low-pressure tube ultra-high-speed maglev transportation, demanding urgent resolution. This study utilizes a broadband noise source model to perform a quantitative analysis of the aerodynamic noise produced by ultra-high-speed maglev trains operating in low-pressure environments. Initially, an external flow field calculation model for the ultra-high-speed maglev train is presented. Subsequently, numerical simulations based on the broadband noise source model are used to examine the noise characteristics. The impact of the train speed and pressure level on noise generation is investigated accordingly. Subsequently, a… More >

Liuqiang Shu, Lei Yu^*

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 627-644, 2025, DOI:10.32604/cmc.2024.056077 - 03 January 2025

Abstract Bone age assessment (BAA) aims to determine whether a child’s growth and development are normal concerning their chronological age. To predict bone age more accurately based on radiographs, and for the left-hand X-ray images of different races model can have better adaptability, we propose a neural network in parallel with the quantitative features from the left-hand bone measurements for BAA. In this study, a lightweight feature extractor (LFE) is designed to obtain the feature maps from radiographs, and a module called attention eraser module (AEM) is proposed to capture the fine-grained features. Meanwhile, the dimensional… More >

Yi-Chun Cheng¹, Mu-En Wu¹, Ju-Fang Yen², Sheng-Chi Luo¹, Jimmy Ming-Tai Wu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011239

Abstract Quantitative trading is a strategy that relies on mathematical and statistical models to identify market trading opportunities. Trading strategies can be categorized into trend following and contrarian trading. Way of the Turtle is one of the famous trend following strategies. This study proposes a customized trend following trading mechanism based on Way of the Turtle. The focus of the strategy is to capture major trends over a few significant market moves, so it can be seen that the importance of the entry signals to the trend-following strategy. Therefore, this study applies Long Short-Term Memory (LSTM)… More >

Junfei Tai¹, Zheng Fan^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011059

Abstract The non-destructive characterization of material microstructures presents a significant and enduring challenge in the field. The sensitivity of elastic waves to the nuances of microstructural parameters positions ultrasound as a viable and potent method for non-destructive evaluation. However, enhancing the interaction between elastic waves and the internal microstructure typically involves utilizing wavelengths larger than the microstructural features, thereby rendering ultrasonic scattering as the predominant mechanism. This interaction is complicated by the fact that fundamental microstructural characteristics, such as grain size, morphology, and texture intensity, exert considerable and intertwined effects on ultrasonic scattering, complicating their separate… More >

Zulian Zhang¹, Meiyu Yan², Jiaqin Qi^3,*

International Journal of Mental Health Promotion, Vol.26, No.11, pp. 957-966, 2024, DOI:10.32604/ijmhp.2024.055468 - 28 November 2024

Abstract Background: The demanding nature of nursing, characterized by long hours, high-stress environments, and substantial workloads, can significantly impact nurses’ mental health. However, there are limited studies that assessed the influence of workplace environment on nursing mental health based on both quantitative and qualitative approaches. Methods: This study aims to comprehensively investigate the multidimensional relationship between the workplace environment and nurses’ well-being. This cross-sectional study was based on a sample of 3256 nurses from various healthcare settings in Shandong province, China (2022), who participated in the quantitative phase. For the qualitative phase, a subsample of participants… More >

Songnan Yang¹, Miao Zhang¹, Rongrong Yao¹, Liangyu Chen¹, Weixuan Cong¹, Dan Yao², Jian Zhang^1,3, Jun Zhang^1,*, Xueying Li^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2209-2225, 2024, DOI:10.32604/phyton.2024.055046 - 30 September 2024

Abstract The high isoflavones content of soybeans is an important breeding goal due to the demonstrated benefits of isoflavones to human health and their association with plant resistance. In this study, quantitative trait loci (QTL) mapping for soybean isoflavone aglycones, including daidzin, glycerin, and genistin, and total isoflavones content was performed in a population of 178 F_2:6 recombinant inbred lines (RILs) which was generated from a cross between varieties Jinong 17 and Jinong 18. A genetic linkage map covering 1248 cM was constructed using the simple sequence repeat (SSR) molecular markers. The results revealed 22 isoflavone-related QTLs,… More >

Hao Xu¹, Jing Wang², Rubin Zhu², Alfred Strauss³, Maosen Cao⁴, Zhanjun Wu^1,*

Structural Durability & Health Monitoring, Vol.18, No.6, pp. 785-803, 2024, DOI:10.32604/sdhm.2024.051393 - 20 September 2024

Abstract Delamination is a prevalent type of damage in composite laminate structures. Its accumulation degrades structural performance and threatens the safety and integrity of aircraft. This study presents a method for the quantitative identification of delamination identification in composite materials, leveraging distributed optical fiber sensors and a model updating approach. Initially, a numerical analysis is performed to establish a parameterized finite element model of the composite plate. Then, this model subsequently generates a database of strain responses corresponding to damage of varying sizes and locations. The radial basis function neural network surrogate model is then constructed More >

Mo Zhou¹, Jingming Zhao¹, Zili Chen^2,*, Qiushi Fang¹, Hua Li¹, Zhaoyuan Wu²

Energy Engineering, Vol.121, No.10, pp. 3037-3053, 2024, DOI:10.32604/ee.2024.050842 - 11 September 2024

Abstract With the continuous expansion of the scale of renewable energy installation, the demand for energy storage has increased significantly. However, there are significant differences in the value of energy storage in different scenarios, and the phenomenon of diminishing marginal benefits of energy storage is becoming more apparent. Therefore, the multi-dimensional value evolution trend of energy storage has become a key issue. This study selects indicators from three dimensions of energy storage: low-carbon emission reduction, smoothing wind and solar power fluctuations, and saving generation costs, quantifying the economic, environmental, and technical values of energy storage. This… More >

Fenglan Zhao^1,2,#, Shuwen Wu^1,#, Xue Meng¹, Jianping Xue^1,2, Yongbo Duan^1,2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1705-1716, 2024, DOI:10.32604/phyton.2024.052287 - 30 July 2024

Abstract Dōng líng căo, the dried aboveground parts of Isodon rubescens (Hemls.) Hara., is commonly consumed as a medicinal decoction or tea beverage. Natural beverages can be an important source of human dietary selenium (Se). However, how I. rubescens plants respond to exogenous Se remains unknown. In this study, a pot cultivation experiment was employed to investigate the phenotypic and physiological responses of I. rubescens plants exposed to Se. Fifteen days after applying different concentrations of sodium selenate to the soil, the Se enrichment capacity, growth indices, antioxidant capacities, and the content of flavonoids and diterpenoids were measured in… More >