Ramtin Vamenani^#, Ethan Brister^#, Ling Li^*

Phyton-International Journal of Experimental Botany, Vol.95, No.4, 2026, DOI:10.32604/phyton.2026.078683 - 28 April 2026

Abstract The potting substrate is an important determinant of post-germination growth in Arabidopsis thaliana and Nicotiana tabacum under controlled laboratory conditions. We evaluated four commercially available soil substrates—Sta-Green potting mix plus fertilizer (SPM), Sta-Green flower & vegetable garden soil plus fertilizer (SGS), Miracle-Gro potting mix (MPM), and Miracle-Gro raised bed soil (MBS)—to assess their effects on seed germination and post-germination growth. Germination rates did not differ significantly among substrates for either species. In contrast, post-germination growth was strongly influenced by the substrate, with MPM consistently supporting greater biomass accumulation, stem elongation, and leaf production. Through integrated analysis of More >

Shizhou Yu^1,2, Jie Zhang¹, Linggai Cao¹, Jie Liu¹, Peng Lu³, Jiemeng Tao³, Xueliang Ren¹, Zhixiao Yang^1,2,*

Phyton-International Journal of Experimental Botany, Vol.95, No.2, 2026, DOI:10.32604/phyton.2026.073509 - 28 February 2026

Abstract Tobacco (Nicotiana tabacum, 2n = 48) is a key non-food economic crop, yet its stress response and gene regulatory mechanisms remain poorly understood. By analyzing 603 transcriptome datasets, this study identified 1405 tissue-specific genes, revealing tissue-specific synthesis of terpenoids and other ecologically important secondary metabolites in sepals and other tissues. Comparative stress-response analysis highlighted distinct gene expression patterns in leaves and roots under biotic and abiotic stresses. Additionally, 28,396 expression quantitative trait loci (eQTLs) were mapped in leaves, offering valuable genetic regulatory markers. These findings provide crucial insights into tobacco’s gene expression characteristics and their functional More >

Alaa Mahmood, İsa Avcı^*

Computer Systems Science and Engineering, Vol.49, pp. 401-417, 2025, DOI:10.32604/csse.2025.062413 - 25 April 2025

Abstract A Distributed Denial-of-Service (DDoS) attack poses a significant challenge in the digital age, disrupting online services with operational and financial consequences. Detecting such attacks requires innovative and effective solutions. The primary challenge lies in selecting the best among several DDoS detection models. This study presents a framework that combines several DDoS detection models and Multiple-Criteria Decision-Making (MCDM) techniques to compare and select the most effective models. The framework integrates a decision matrix from training several models on the CiC-DDOS2019 dataset with Fuzzy Weighted Zero Inconsistency Criterion (FWZIC) and Multi-Attribute Boundary Approximation Area Comparison (MABAC) methodologies.… More >

Sondes Baccouri^1,2,#,*, Takoua Abdellatif ^3,#

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 1071-1093, 2025, DOI:10.32604/cmes.2025.062902 - 11 April 2025

Abstract Managing sensitive data in dynamic and high-stakes environments, such as healthcare, requires access control frameworks that offer real-time adaptability, scalability, and regulatory compliance. BIG-ABAC introduces a transformative approach to Attribute-Based Access Control (ABAC) by integrating real-time policy evaluation and contextual adaptation. Unlike traditional ABAC systems that rely on static policies, BIG-ABAC dynamically updates policies in response to evolving rules and real-time contextual attributes, ensuring precise and efficient access control. Leveraging decision trees evaluated in real-time, BIG-ABAC overcomes the limitations of conventional access control models, enabling seamless adaptation to complex, high-demand scenarios. The framework adheres to the… More >

Aodi Liu, Xuehui Du^*, Na Wang, Xiangyu Wu

CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 1471-1489, 2025, DOI:10.32604/cmc.2025.059784 - 26 March 2025

Abstract Security attributes are the premise and foundation for implementing Attribute-Based Access Control (ABAC) mechanisms. However, when dealing with massive volumes of unstructured text big data resources, the current attribute management methods based on manual extraction face several issues, such as high costs for attribute extraction, long processing times, unstable accuracy, and poor scalability. To address these problems, this paper proposes an attribute mining technology for access control institutions based on hybrid capsule networks. This technology leverages transfer learning ideas, utilizing Bidirectional Encoder Representations from Transformers (BERT) pre-trained language models to achieve vectorization of unstructured text… More >

Susilo Indrawati^*, Lila Yuwana, Suyatno, Mochamad Zainuri, Darminto^*

Journal of Renewable Materials, Vol.12, No.5, pp. 909-921, 2024, DOI:10.32604/jrm.2024.048452 - 17 July 2024

Abstract Recently, abaca fibers have become the focus of specialized research due to their intriguing characteristics, with their outstanding mechanical properties being a particularly notable. In the conducted study, the abaca fibers underwent a preliminary treatment process involving an alkaline solution, which was composed of 0.5% sodium hydroxide (NaOH) and 50% acetic acid (CHCOOH). This process entailed immersing each fiber in the solution for a period of one hour. This treatment led to a 52.36% reduction in lignin content compared to the levels before treatment, resulting in a dramatic decrease in the full width at half… More > Graphic Abstract

Lanjun Li¹, Degang Zhao^1,2,*

Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 3043-3061, 2023, DOI:10.32604/phyton.2023.031175 - 24 October 2023

Abstract Various strains of powdery mildew (PM), a notorious plant fungal disease, are prevalent and pose a significant threat to plant health. To control PM, transgenic technology can be used to cultivate more resistant plant varieties. In the present study, we utilized the rapid amplification of cDNA ends (RACE) technique to clone the full-length cDNA sequence of the EuCHIT30.7 gene to explore plant genes with disease resistance functions. Bioinformatics analysis revealed that this gene belongs to the GH18 family and is classified as a class III chitinase. The EuCHIT30.7 gene is expressed throughout the Eucommia ulmoides plant, with… More >

XUEJIN YANG^1,2,#, YUANYUAN ZHOU^1,#, XINYI PENG¹, XIAOHONG FU¹, JIANQING MA¹, JIANFENG LIU^1,*, DANDAN CAO^1,2,*

BIOCELL, Vol.47, No.9, pp. 2101-2113, 2023, DOI:10.32604/biocell.2023.029581 - 28 September 2023

Abstract Background: Plant root-knot nematode (RKN) disease is a serious threat to agricultural production across the world. Meloidogyne incognita is the most prominent pathogen to the vegetables and cash crops cultivated. Arachis hypogaea can effectively inhibit M. incognita, but the underlying defense mechanism is still unclear. Methods: In our study, the chemotaxis and infestation of the second-stage juveniles (J2s) of M. incognita to A. hypogaea root tips were observed by the Pluronic F-127 system and stained with sodium hypochlorite acid fuchsin, respectively. The transcriptome data of A. hypogaea roots with non-infected or infected by J2s were analyzed. Results: The J2s could approach and infect… More >

Jing Yang, Tianxiunan Pu, Ke Wan, Linqi Wang, Yuanshuai Shi, Xu Luo, Jie Tan, Dongmei Wang, Yang Liu^*

Phyton-International Journal of Experimental Botany, Vol.92, No.9, pp. 2555-2576, 2023, DOI:10.32604/phyton.2023.030301 - 28 July 2023

Abstract Drought has severely affected the yield and quality of commercial crops. The BRI1 family plays an important role in plant response to drought stress, and BRL3 gene plays an important role in the study of drought in Arabidopsis thaliana. In this study, NtBRL3 was constructed as a vector and genetically transformed to obtain ‘N. Tobacco K326’ overexpression of NtBRL3. The enzyme activities of transgenic tobacco and wild-type tobacco were measured and transcriptome and metabolome analyses were performed. The results showed that the antioxidant enzymes of transgenic tobacco were more active under drought conditions, and 85 significantly differentially metabolites and More >

Yuyan Luo^1,2, Xiaoxu Zhang^1,*, Tao Tong¹, Yong Qin^3,*, Zheng Yang¹

CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 2049-2076, 2023, DOI:10.32604/cmes.2023.025413 - 26 June 2023

Abstract Graduate education is the main way to train high-level innovative talents, the basic layout to cope with the global talent competition, and the important cornerstone for implementing the innovation-driven development strategy and building an innovation-driven country. Therefore, graduate education is of great remarkably to the development of national education. As an important manifestation of graduate education, the quality of a graduate thesis should receive more attention. It is conducive to promoting the quality of graduates by supervising and examining the quality of the graduate thesis. For this purpose, this work is based on text mining,… More >