Jingyuan Yang¹, Jie Zhou¹, Jiaojiao Jin¹, Yi Li², Xia Zhang³, Teng Li³, Mengdi Zhang³, Xiaodong Cai³, Chaodong Yang³, Cunyu Zhou^3,*

Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1685-1696, 2021, DOI:10.32604/phyton.2021.015533

Abstract Huanglian (Coptis chinensis Franch.) is a slow-growing perennial medicinal herb with considerable economic value. This study aimed to determine the structural characteristics and the levels of berberine deposits in the organs and tissues of Huanglian using light and epifluorescence microscopy. The adventitious roots are composed of primary and secondary structures with endodermis, exodermis, and phellem. The rhizome structures are composed of primary and secondary structures with cuticle and phellem. The leaves are composed of sclerenchymatous rings, isolateral mesophyll, and thin cuticles. We detected berberine in the xylem walls of the roots and rhizomes as well as in the sclerenchymatous rings… More >

Zhigang Shang^1,2, Yongzhe Zhu³, Xinmei Guo^1,2, Meiai Zhao^1,4,*

Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1711-1725, 2021, DOI:10.32604/phyton.2021.015048

Abstract The development of next generation sequencing (NGS) and high throughput genotyping are important techniques for the QTL mapping and genetic analysis of different crops. High-resolution melting (HRM) is an emerging technology used for detecting single-nucleotide polymorphisms (SNPs) in various species. However, its use is still limited in maize. The HRM analysis was integrated with SNPs to identify three types of populations (NIL population, RIL population and natural population), and the useful tags were screened. The patterns of temperature-shifted melting curves were investigated from the HRM analysis, and compared these with the kit. Among all 48 pairs of primers, 10 pairs… More >

Mengyuan Dong^#, Rong Sun^#, Qianhui Yang, Lantian Zhang, Yangying Yong, Yunxia Fang, Xian Zhang, Xiaoqin Zhang^*, Dawei Xue^*

Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1589-1598, 2021, DOI:10.32604/phyton.2021.017465

Abstract In recent years, zinc oxide nanoparticles (ZnO NPs) have been widely used as zinc fertilizers and pesticides. The use of ZnO NPs in this way can provide benefits to humans, but also has potential risks. ZnO NPs inevitably enter the environment during their production and use, which affects the ecological environment and crop growth. In order to investigate the phenotype, physiology, and gene expression of barley (Hordeum vulgare L.) seedlings under ZnO NPs stress, the barely cultivars ZJU3 (P21), Golden Promise (GP) and L23 were chosen for study. Different ZnO NPs concentrations were applied to compare the physiological and biochemical… More >

Mustansar Mubeen¹, Yasir Iftikhar^1,*, Aqleem Abbas², Mazhar Abbas³, Muhammad Zafar-ul-Hye⁴, Ashara Sajid¹, Faheema Bakhtawar¹

Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1573-1587, 2021, DOI:10.32604/phyton.2021.016664

Abstract Okra (Abelmoschus esculentus L.) belongs to the Malvaceae family and is one of the most essential and popular vegetables globally. It is rich in proteins, carbohydrates, and vitamins. Abiotic and biotic factors threaten okra productivity. Okra yellow vein mosaic disease (OYVMD) is the most destructive disease of okra. The causal agent, [(i.e., Okra yellow vein mosaic virus (OYVMV)] of this disease belongs to the family Geminiviridae and genus Begomovirus. OYVMV is a monopartite with additional ssDNA molecule. This virus has two components DNA-A for protein coding and DNA-B for symptoms induction. Whitefly transmits OYVMV in persistent manner. Characteristic symptoms of… More >

Xinru He, Qiong Ding, Bing Sun, Yongjun Fei, Die Hu^*

Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1673-1684, 2021, DOI:10.32604/phyton.2021.015617

Abstract Four different ratios of river sand, ceramic pellets, vermiculite and perlite (1:1), and field soil were selected as the substrates in this experiment, and four gradient levels of root waterlogging, half waterlogging, full waterlogging and normal were set to investigate the effects of different gradients of waterlogging stress on the root morphology of Taxus chinensis var. mairei seedlings under different substrates. In this study, the root anatomical structure of Taxus chinensis var. mairei under different waterlogging stress was observed by the paraffin section method. The roots of T. chinensis var. mairei were diarch, with no pith and resin canals. There… More >

Xihua Liu¹, Min Luo¹, Xiaofei Chen¹, Changjun Ding^2,*

Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1697-1709, 2021, DOI:10.32604/phyton.2021.015295

Abstract Bamboos are one of the most beautiful and useful plants on Earth. The genetic background and population structure of bamboos are well known, which helps accelerate the process of artificial domestication of bamboo. Partial sequences of six genes involved in nitrogen use efficiency in 32 different bamboo species were analyzed for occurrence of single nucleotide polymorphisms (SNPs). The nucleotide diversity θw and total nucleotide polymorphisms π_T of the sequenced DNA regions was 0.05137 and 0.03332, respectively. Both πnonsyn /πsyn and Ka/Ks values were <1. The nucleotide sequences of these six genes were inferred to be relatively conserved, and the haplotype… More >

Haojie Lian¹, Zhongwang Wang^2,3,*, Haowen Hu³, Shengze Li⁴, Xuan Peng⁵, Leilei Chen^2,3

CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.1, pp. 1-20, 2021, DOI:10.32604/cmes.2021.016775

Abstract This paper presents a novel framework for stochastic analysis of linear elastic fracture problems. Monte Carlo simulation (MCs) is adopted to address the multi-dimensional uncertainties, whose computation cost is reduced by combination of Proper Orthogonal Decomposition (POD) and the Radial Basis Function (RBF). In order to avoid re-meshing and retain the geometric exactness, isogeometric boundary element method (IGABEM) is employed for simulation, in which the Non-Uniform Rational B-splines (NURBS) are employed for representing the crack surfaces and discretizing dual boundary integral equations. The stress intensity factors (SIFs) are extracted by M integral method. The numerical examples simulate several cracked structures… More >

Chungkuk Jin^*, MooHyun Kim

CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.1, pp. 315-337, 2021, DOI:10.32604/cmes.2021.016494

Abstract This study presents a practical design strategy for a large-size Submerged Floating Tunnel (SFT) under different target environments through global-performance simulations. A coupled time-domain simulation model for SFT is established to check hydro-elastic behaviors under the design random wave and earthquake excitations. The tunnel and mooring lines are modeled with a finite-element line model based on a series of lumped masses connected by axial, bending, and torsional springs, and thus the dynamic/structural deformability of the entire SFT is fully considered. The dummy-connection-mass method and constraint boundary conditions are employed to connect the tunnel and mooring lines in a convenient manner.… More >

Ruikun Li^1,*, Yun Li², Wen He^1,3, Lirong Chen¹, Jianchao Luo¹

CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.1, pp. 381-398, 2021, DOI:10.32604/cmes.2021.016264

Abstract Anomaly detection is an important method for intrusion detection. In recent years, unsupervised methods have been widely researched because they do not require labeling. For example, a nonlinear autoencoder can use reconstruction errors to attain the discrimination threshold. This method is not effective when the model complexity is high or the data contains noise. The method for detecting the density of compressed features in a hidden layer can be used to reduce the influence of noise on the selection of the threshold because the density of abnormal data in hidden layers is smaller than normal data. However, compressed features may… More >

Tongming Qu¹, Shaocheng Di², Y. T. Feng^1,3,*, Min Wang⁴, Tingting Zhao³, Mengqi Wang¹

CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.1, pp. 129-144, 2021, DOI:10.32604/cmes.2021.016172

Abstract This study presents an AI-based constitutive modelling framework wherein the prediction model directly learns from triaxial testing data by combining discrete element modelling (DEM) and deep learning. A constitutive learning strategy is proposed based on the generally accepted frame-indifference assumption in constructing material constitutive models. The low-dimensional principal stress-strain sequence pairs, measured from discrete element modelling of triaxial testing, are used to train recurrent neural networks, and then the predicted principal stress sequence is augmented to other high-dimensional or general stress tensor via coordinate transformation. Through detailed hyperparameter investigations, it is found that long short-term memory (LSTM) and gated recurrent… More >