Qian Mao¹, Umberto D’Ortona¹, Julien Favier^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.012535

Abstract The human airways are protected by two fluid layers, a periciliary layer (PCL) covering the epithelial surface and a mucus layer on top of the PCL. The cilia are almost immersed in the PCL and interact with the mucus through their tips. The mucus is often described as a yield stress and shear thinning fluid. The effect of these non-Newtonian properties on ciliary coordination and mucus transport was investigated using the Lattice-Boltzmann method. The non-Newtonian mucus was modelled using the Herschel-Bulkley model. Three mucus flow regimes were observed and analysed in a wide range of… More >

Bojana Z. Jadranin¹, Marija V. Ćosić¹, Djordje P. Božović¹, Milorad M. Vujičić^1,2, Beáta Papp³, Aneta D. Sabovljević^1,2, Marko S. Sabovljević^1,2,4,*

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 3039-3054, 2024, DOI:10.32604/phyton.2024.058469 - 30 November 2024

Abstract The rare and threatened semi-aquatic moss Drepanocladus lycopodioides (Amblystegiaceae) was the subject of growth optimization under ex situ axenic laboratory conditions. The positioning of the plantlets on media, media types as well as selected growth regulators and sugars were parameters tested in optimizing growth promotion of this species in captivity. Out of the tested media types, the KNOP medium and the upright positioning of the explants were the best for propagation and biomass production of D. lycopodioides. The addition of sugars had no significant effect on this moss development axenically, while exogenously applied Benzylaminopurine (BAP) at a… More >

Chao Meng^1,#, Ikram Ullah^2,#, Wenjin Wu³, Yiping Zhang¹, Ruixue Shi¹, Shaodan Luo³, Cuixia Luo³, Satyabrata Nanda⁴, Mahmoud F. Seleiman⁵, Yalian Jiang^1,*, Wangqi Huang^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 3029-3038, 2024, DOI:10.32604/phyton.2024.057857 - 30 November 2024

Abstract Marigolds (Tagetes spp.) are popular horticultural plants worldwide. The current study aimed to investigate the optimal mutagenic conditions for marigold seeds using EMS (ethyl methanesulfonate) mutagenesis. Different concentrations and treatment times of EMS were applied to investigate their effects on the marigold seed germination rate, growth traits, antioxidant enzyme activities (i.e., SOD and POD), and malondialdehyde (MDA) contents. Results indicated that with increasing the EMS treatment duration and concentration, the seed germination rate and growth treatments were reduced, accompanied by elevated MDA content. In addition, SOD and POD activities initially correlated positively with the growth tratis at More >

Abdelhak Rhouma¹, Lobna Hajji-Hedfi^1,*, Nahla Alsayd Bouqellah^2,*, Pravin Babasaheb Khaire³, Samar Dali¹, Omaima Bargougui¹, Amira Khlif¹, Laith Khalil Tawfeeq Al-Ani⁴

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2857-2881, 2024, DOI:10.32604/phyton.2024.057591 - 30 November 2024

Abstract Beauveria bassiana and Metarhizium spp. are entomopathogenic fungi with potential applications beyond insect pest control, including plant disease suppression, plant growth promotion, and rhizosphere colonization. This study investigated the plant growth-promoting characteristics and extracellular enzyme activities of Metarhizium spp. and B. bassiana in relation to phytopathogen interactions and plant growth. Additionally, the efficacy of these fungi in mitigating damping-off and root rot caused by Rhizoctonia solani on cucumber plants was evaluated in vitro and in vivo. Results indicate that B. bassiana and M. anisopliae produce indole-3-acetic acid, hydrocyanic acid, and hydrolytic enzymes. Seed treatment with these fungi significantly reduced disease severity (3.85%–1.86%, respectively)… More >

Salah Hadjout^1,2,*, Mohamed Zouidi¹, Houcine Bougrine¹, Abdeldjalil Belkendil¹, Amer Zeghmar¹, Walid Ouaret³, Walid Soufan⁴, Fathi Abdellatif Belhouadjeb⁵

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2983-2992, 2024, DOI:10.32604/phyton.2024.056982 - 30 November 2024

Abstract Fusarium head blight (FHB) is a disease caused by several Fusarium species, notably, F. culmorum and F. graminearum. These pathogens adversely affect the technological and sanitary qualities of cereal grains, particularly durum wheat. Under favorable environmental conditions and in susceptible varieties, these Fusarium species can significantly reduce both the quantity and quality of crops. This study evaluated the pathogenicity of the two Fusarium species (FC2006 and FG2008) in the growth of durum wheat coleoptiles. The plant material included four commercially grown parental varieties (G9, G10, G11, G12) and eight breeding lines (G1, G2, G3, G4, G5, G6, G7, G8).… More >

Liangyu Luo^1,#, Ru Li^1,#, Daocheng Ma¹, Yijin Wang^2,*, Linghui Wang^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2927-2947, 2024, DOI:10.32604/phyton.2024.056429 - 30 November 2024

Abstract Camellia petelotii (Merr.) Sealy is an endangered Chinese native species that originates from Guangxi Zhuang Autonomous Region, China. Previous research demonstrated that proper water and fertilizer treatments could improve the growth and quality of Camellia species. This study uses a three-factor, five-level quadratic rotational combination experimental design to investigate the impact of water-fertilizer coupling on plant growth characteristics and the most suitable treatment for 24-month-old grafted C. petelotii seedlings. The experimental design includes irrigation levels [30%, 40%, 55%, 70%, 80% of field capacity (FC)], nitrogen application (0, 2.17, 5.43, 8.70, 10.87 g·plant⁻¹), and phosphorus application (0, 0.96, 2.40,… More >

Yasunori Okano^1,*, Tsuyoshi Miyamoto¹, Sadik Dost²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011685

Abstract We have developed a machine learning model, called Hybrid-PINNs (Physics Informed Neural Networks), and applied for fast predictions of transport structures (flow and thermal fields) in the silicon (Si) melt during the Czochralski (Cz) bulk single crystal growth. Si bulk single crystals are mostly grown by the Cz method. For the growth of high-quality Si crystals with this method, it is essential to understand and control these transport structures in the melt. Since the direct observation of such transport fields in the melt during growth is usually impossible, numerical simulations provide a powerful tool for… More >

Ziying Zhang^1,*, Chu Li¹, Junwei Zhu¹, Qinghong Wu¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.010912

Abstract The process of perfusion seeding of cells into a porous scaffold represents a pivotal initial stage in the development of tissue-engineered bones. The rheological behavior of the cell suspension plays a crucial role in influencing the transport and distribution of cells within the scaffold. Currently, there is limited understanding of the non-Newtonian rheology of cell suspensions in complex pores which differs significantly from simple channels or linear shear flow. In this study, we utilize our previously developed mesoscopic model of perfusion cell seeding to investigate the rheological behavior of cell suspensions at the cellular scale. More >

Samsul Huda^1,*, Yasuyuki Nogami², Maya Rahayu², Takuma Akada², Md. Biplob Hossain², Muhammad Bisri Musthafa², Yang Jie², Le Hoang Anh²

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3165-3187, 2024, DOI:10.32604/cmc.2024.058144 - 18 November 2024

Abstract Global food security is a pressing issue that affects the stability and well-being of communities worldwide. While existing Internet of Things (IoT) enabled plant monitoring systems have made significant strides in agricultural monitoring, they often face limitations such as high power consumption, restricted mobility, complex deployment requirements, and inadequate security measures for data access. This paper introduces an enhanced IoT application for agricultural monitoring systems that address these critical shortcomings. Our system strategically combines power efficiency, portability, and secure access capabilities, assisting farmers in monitoring and tracking crop environmental conditions. The proposed system includes a… 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 >