Haoran Li, Qi Sun, Haoran Sun, Ziyan Wu, Wenjin Wang, Fang Liu^*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.079359 - 28 April 2026

Abstract Soil salinization is an increasingly severe global issue, posing a significant threat to crop growth and food security. Although sorghum exhibits moderate tolerance to saline-alkali stress, it remains highly sensitive to such conditions during the seedling stage. This study investigates the mechanisms by which zinc oxide nanoparticles (ZnO NPs) alleviate saline-alkali stress in sorghum seedlings and determines their optimal application concentration, thereby providing a scientific basis for agricultural production in saline-alkali soils. Hydroponic experiments were conducted to simulate varying degrees of saline-alkali stress. Sorghum seedlings were treated with different concentrations of ZnO NPs (0, 50,… More >

Selma Kösa^*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.079055 - 28 April 2026

Abstract This study was conducted to determine the effects of paclobutrazol (PBZ) application methods and dosages on the growth, leaf, flower, and color characteristics of Silene compacta Fisch., a natural species with high potential for use as a seasonal bedding and potted ornamental plant in landscape design. The experiment was carried out under greenhouse conditions, where potted plants received a single PBZ application during the vegetative stage. The study was arranged in a completely randomized design with a 2 × 3 factorial structure. PBZ was applied either as a foliar spray or as a soil drench at… More >

Yingying Xing, Rong Wei, Xiukang Wang^*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.078974 - 28 April 2026

Abstract Rhizosphere microorganisms, as crucial biological groups at the soil–plant interface, play a significant role in advancing sustainable agriculture. This review systematically synthesizes three decades of research to elucidate the mechanisms and applications of rhizosphere microbes—including nitrogen-fixing bacteria, phosphate-solubilizing microorganisms, and plant growth–promoting rhizobacteria (PGPR)—in enhancing soil health, improving crop stress tolerance, and optimizing ecosystem functioning. Key findings indicate that replacing 50% of synthetic nitrogen with organic fertilizer in maize–wheat rotation systems can reduce nitrous oxide emissions by up to 68% in loamy soils. Long-term no-till systems enhance carbon sequestration through microbial-driven soil organic matter accumulation.… More >

Dongmei Lian^#, Zhou Li^#, Bizhen Lin, Shaoping Zhang, Susu Yuan, Yunfa Yao, Yudong Ju, Zhengfeng Lai^*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.078378 - 28 April 2026

Abstract Pepper (Capsicum annuum L.) is highly susceptible to chilling stress, which severely constrains its growth and productivity. Although the eco-friendly biostimulant γ-polyglutamic acid (γ-PGA) has shown promise in enhancing plant tolerance to abiotic stresses, its specific role and underlying mechanisms in alleviating chilling injury in pepper remain poorly understood. This study systematically investigated the physiological and molecular mechanisms by which foliar application of 100 mg·L⁻¹ γ-PGA enhances chilling tolerance in pepper seedlings. Our results demonstrated that γ-PGA pretreatment significantly mitigated chilling-induced growth inhibition and promoted root development, evidenced by a 110.8% increase in the number of root… More >

Higinio Ramos^1,2,*, M Chandru^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.083154 - 27 April 2026

Abstract This article has no abstract. More >

Nishu Gupta^1,*, Manuel J. C. S. Reis²

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.082568 - 27 April 2026

Abstract This article has no abstract. More >

M. A. El-Shorbagy^*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.079859 - 27 April 2026

Abstract This paper provides a thorough examination of Genetic Algorithms (GAs), a category of evolutionary computation methods derived from the concepts of natural selection and genetics. The main concept and operational principle of GAs are elucidated, highlighting the evolution of populations of candidate solutions across multiple generations to get optimal or near-optimal solutions for complicated problems. The paper delineates the sequential phases of a conventional GA, encompassing problem formulation, solution encoding, initialization of population, fitness evaluation, selection, crossover, mutation, and termination criteria, so offering a coherent framework for comprehending the algorithm’s functionality. Moreover, numerous prominent genetic… More > Graphic Abstract

Prabhat Das^1,2, Dibya Jyoti Bora¹, Sajal Saha², Cheng-Chi Lee^3,4,*, Hirak Mazumdar²

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.079203 - 27 April 2026

Abstract Real-time data processing is essential in the evolving landscape of IoT applications, ensuring efficiency, reliability, and adaptability. However, conventional clustering algorithms often face difficulties in managing high-frequency, continuous IoT data streams due to limited adaptability and high computational overhead. To address these challenges, this study proposes a resilient adaptation of the BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies) algorithm, tailored specifically for streaming IoT data. The enhanced approach dynamically recalculates clusters and determines the optimal number of clusters using the KneeLocator method. Unlike the original batch-oriented BIRCH, the modified version processes data incrementally, enabling More >

Muhammad Waqar¹, Zeshan Aslam Khan^1,*, Arthur Chang^2,*, Zhishan Guo³, Chun-Liang Lai⁴, Chuan-Yu Chang⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.078892 - 27 April 2026

Abstract Lung cancer (LC) is among the dangerous cancers spreading progressively, and a timely LC diagnosis becomes a dire need of the time. Various imaging-based studies have been conducted for accurate LC examination through computed tomography (CT), X-ray, and histopathology. Worldwide, the proportion of LC-affected patients in hospitals is growing, thereby increasing imaging data for fast processing and early examination. To facilitate histopathological imaging-based automated and timely decision making for accurate LC prediction, a Context Aware Fusion Network (CAFNet) for holistic feature learning and spatially localized feature learning is proposed in this study for the efficient… More >

Álvarez-Hostos Juan C.^1,2,3,*, Zambrano-Carrillo Javier A.⁴, Sarache-Piña Alirio J.⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.1, 2026, DOI:10.32604/cmes.2026.076279 - 27 April 2026

Abstract The Element-Free Galerkin (EFG) method was originally developed for linear solid mechanics problems, using Moving Least Squares (MLS) approximations to construct shape functions for the numerical approximation of the displacement field and its variations within the weak form of the equilibrium equations. Over the past decades, it has evolved into a versatile meshfree framework applicable to a broad spectrum of engineering and scientific problems. This review provides a comprehensive account of the main advances in EFG, tracing its development from the original formulation and early challenges to the strategies devised to overcome them. Subsequent improvements More >