Changchao Qi¹, Lingdi Fu¹, Ming Wen¹, Hao Qian², Shuai Zhao^1,*

Structural Durability & Health Monitoring, Vol.19, No.4, pp. 1073-1087, 2025, DOI:10.32604/sdhm.2025.061898 - 30 June 2025

Abstract The accuracy and reliability of non-destructive testing (NDT) approaches in detecting interior corrosion problems are critical, yet research in this field is limited. This work describes a novel way to monitor the structural integrity of steel gas pipelines that uses advanced numerical modeling techniques to anticipate fracture development and corrosion effects. The objective is to increase pipeline dependability and safety through more precise, real-time health evaluations. Compared to previous approaches, our solution provides higher accuracy in fault detection and quantification, making it ideal for pipeline integrity monitoring in real-world applications. To solve this issue, statistical… More >

Hao Jiao¹, Xinyu Liu², Chen Wu¹, Chunlei Xu¹, Zhijun Zhou³, Ye Chen³, Guoqiang Sun^2,*

Energy Engineering, Vol.122, No.7, pp. 2977-2992, 2025, DOI:10.32604/ee.2025.064206 - 27 June 2025

Abstract With the continuous expansion of the power system scale and the increasing complexity of operational mode, the interaction between transmission and distribution systems is becoming more and more significant, placing higher requirements on the accuracy and efficiency of the power system state estimation to address the challenge of balancing computational efficiency and estimation accuracy in traditional coupled transmission and distribution state estimation methods, this paper proposes a collaborative state estimation method based on distribution systems state clustering and load model parameter identification. To resolve the scalability issue of coupled transmission and distribution power systems, clustering… More >

Gülay Zulkadir^*

Phyton-International Journal of Experimental Botany, Vol.94, No.6, pp. 1879-1896, 2025, DOI:10.32604/phyton.2025.064144 - 27 June 2025

Abstract Soil salinization is a prominent global environmental issue that considerably affects the sustainable development of agriculture worldwide. Maize, a key crop integral to the global agricultural economy, is especially susceptible to the detrimental impacts of salt stress, which can impede its growth and development from the germination phase through to the seedling stage. Soil salinity tends to escalate due to improper irrigation methods, particularly in arid and semi-arid environments. Consequently, it is essential to evaluate potential genotypes and select those with high salt tolerance. In this study, 39 popcorn kernel genotypes were examined under varying… More >

Fuheng Qu¹, Yuhang Shi¹, Yong Yang^1,*, Yating Hu², Yuyao Liu¹

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4875-4893, 2024, DOI:10.32604/cmc.2024.060090 - 19 December 2024

Abstract The Coordinate Descent Method for K-means (CDKM) is an improved algorithm of K-means. It identifies better locally optimal solutions than the original K-means algorithm. That is, it achieves solutions that yield smaller objective function values than the K-means algorithm. However, CDKM is sensitive to initialization, which makes the K-means objective function values not small enough. Since selecting suitable initial centers is not always possible, this paper proposes a novel algorithm by modifying the process of CDKM. The proposed algorithm first obtains the partition matrix by CDKM and then optimizes the partition matrix by designing the… More >

Zhongshang Chen, Ji Feng^*, Fapeng Cai, Degang Yang

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2031-2048, 2024, DOI:10.32604/cmc.2024.052114 - 15 August 2024

Abstract In clustering algorithms, the selection of neighbors significantly affects the quality of the final clustering results. While various neighbor relationships exist, such as K-nearest neighbors, natural neighbors, and shared neighbors, most neighbor relationships can only handle single structural relationships, and the identification accuracy is low for datasets with multiple structures. In life, people’s first instinct for complex things is to divide them into multiple parts to complete. Partitioning the dataset into more sub-graphs is a good idea approach to identifying complex structures. Taking inspiration from this, we propose a novel neighbor method: Shared Natural Neighbors (SNaN). More >

Adel A. Rezk^1,2,*, Mohamed M. El-Malky³, Heba I. Mohamed^4,*, Hossam S. El-Beltagi^1,5

Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1733-1748, 2024, DOI:10.32604/phyton.2024.052739 - 30 July 2024

Abstract Twenty-four rice genotypes were examined to assess genetic variability, heritability, and correlations for seven-grain quality traits, eight nutritional elements, and protein. ANOVA revealed significant differences for the quality traits studied. For every trait under study, the phenotypic coefficient of variation was higher than the correspondence genotypic coefficient of variation. Heritability in a broad sense varied from 29.75% for grain length to 98.31% for the elongation trait. Hulling percentage recovery had a highly significant positive correlation with milling and head rice percentage. Consequently, milling percentage had a highly positive correlation with head rice percentage. In amylose… More >

Xin Pan, Ya Gao, Fang Zeng, Chunmei Zheng, Wenxuan Ge, Yan Wan, Yanxia Sun, Xiaoyong Wu^*

Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2921-2936, 2023, DOI:10.32604/phyton.2023.029853 - 15 September 2023

Abstract Pre-harvest sprouting (PHS) will have a serious effect both on the yield and quality of quinoa (Chenopodium quinoa Willd.). It is crucial to select and breed quinoa varieties with PHS resistance and excellent agronomic traits for guidance production and utilization of quinoa. A comprehensive evaluation of the PHS resistance and agronomic traits of 37 species of quinoa resources was conducted in Chengdu Plain. The evaluation used various methods, including grain germination rate (GR), grain germination index (GI), total spike germination rate (SR), total grain germination index (SI), grey correlation analysis (GCA), cluster analysis and correlation analysis.… More >

K. R. Naveen Kumar¹, Husam Lahza², B. R. Sreenivasa^3,*, Tawfeeq Shawly⁴, Ahmed A. Alsheikhy⁵, H. Arunkumar¹, C. R. Nirmala¹

Computer Systems Science and Engineering, Vol.46, No.3, pp. 3239-3260, 2023, DOI:10.32604/csse.2023.036629 - 03 April 2023

Abstract Data mining and analytics involve inspecting and modeling large pre-existing datasets to discover decision-making information. Precision agriculture uses data mining to advance agricultural developments. Many farmers aren’t getting the most out of their land because they don’t use precision agriculture. They harvest crops without a well-planned recommendation system. Future crop production is calculated by combining environmental conditions and management behavior, yielding numerical and categorical data. Most existing research still needs to address data preprocessing and crop categorization/classification. Furthermore, statistical analysis receives less attention, despite producing more accurate and valid results. The study was conducted on… More >

Luli Li^1,2, Nigel G. Halford³, Huihui Wang⁴, Yingjie Zong¹, Zhenzhu Guo¹, Ruiju Lu¹, Chenghong Liu¹, Zhiwei Chen^1,*

Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1275-1287, 2023, DOI:10.32604/phyton.2023.026946 - 06 January 2023

Abstract Barley (Hordeum vulgare L.) is an important economic crop for food, feed and industrial raw materials. In the present research, 112 barley landraces from the Shanghai region were genotyped using genotyping-by-sequencing (GBS), and the genetic diversity and population structure were analyzed. The results showed that 210,268 Single Nucleotide Polymorphisms (SNPs) were present in total, and the average poly-morphism information content (PIC) was 0.1642. Genetic diversity and population structure analyses suggested that these barley landraces were differentiated and could be divided into three sub-groups, with morphological traits of row-type and adherence of the hulls the main distinguishing More >

Jianyi Zhu¹, Hui Peng^1,2, Xiaoning Lu^1,2, Jianxiong Lyu^1,2,3, Tianyi Zhan^1,2,*

Journal of Renewable Materials, Vol.11, No.3, pp. 1425-1437, 2023, DOI:10.32604/jrm.2022.023464 - 31 October 2022

Abstract Many tree species are planted in China with variable properties and usage. Toward exploring the structure-properties relationships of wood and classifying the species more reasonably, the physiomechanical properties of the domestic wood species in China were analyzed statistically. According to the correlation analysis, the mechanical properties were closely related to the wood density. Except impact toughness and cleavage strength, the correlation coefficients between mechanical properties and densities were more than 0.8. However, shrinkage properties showed fewer correlations with densities, and the coefficient was no more than 0.7. Primary component analysis was proved to be feasible… More >