Danaé Samara Sánchez-Sandoval^#, Omar González-Ortega^#, Mara Fernanda Navarro-Martínez, Juan Marcos Castro-Tapia, Ramón Fernando García de la Cruz, Ruth Elena Soria-Guerra^*

Phyton-International Journal of Experimental Botany, Vol.90, No.5, pp. 1519-1533, 2021, DOI:10.32604/phyton.2021.015087 - 27 May 2021

Abstract The emerging contaminants (ECs) are organic compounds including pharmaceuticals. These products are consumed in large quantities, favoring their continuous entrance to the environment and affecting the health of living beings. Diclofenac is a non-steroidal anti-inflammatory drug with analgesic properties of prolonged release. It is the commonest postoperative analgesic, and it is highly consumed without prescription. In recent years, the capability of microalgae to remove pharmaceuticals in water has been tested as a promising tool. In this work, the removal efficiency of diclofenac (16 µg/mL) by the microalga Nannochloropsis oculata CCAP 186/7 was evaluated. The major nutrient… More >

Xin Li, Feiya Liao, Qiqi Ma, Beibei Jiang^*, Yuanzhi Pan, Cheng Luo, Xinjie Wang, Aining Ran

Phyton-International Journal of Experimental Botany, Vol.90, No.5, pp. 1415-1423, 2021, DOI:10.32604/phyton.2021.016143 - 27 May 2021

Abstract Chrysanthemum is one of the most important ornamental flowers in the world, and temperature has a significant influence on its field production. In the present study, differentially expressed proteins were investigated in the leaves of Dendranthema grandiflorum ‘Jinba’ under high temperature stress using label-free quantitative proteomics techniques. The expressed proteins were comparatively identified and analyzed. A total of 1,463 heat-related, differentially expressed proteins were successfully identified by Liquid Chromatography-tandem Mass Spectrometry (LC-MS/MS), and 1,463 heat-related, differentially expressed proteins were successfully identified by mass spectrometry after a high temperature treatment. Among these, 701 proteins were upregulated and… More >

Meixiang Chen¹, Hong Yang¹, Zhengda Song¹, Yonghua Gu^1,#,*, Yuhong Zheng^1,2, Jiangwei Zhu³, Aiwu Wang⁴, Li Fu^5,#,*

Phyton-International Journal of Experimental Botany, Vol.90, No.5, pp. 1507-1518, 2021, DOI:10.32604/phyton.2021.015723 - 27 May 2021

Abstract Opuntia Milpa Alta is a cactus cultivated, domesticated, hybridized and selected from the plant Opuntia ficus-indica by Mexican agricultural experts, which can be used as fruit and vegetable. Opuntia Milpa Alta leaves and fruit are superior to wild varieties and suitable for storage and transportation. In 1998, Opuntia Milpa Alta was introduced to China from Mexico by the Quality Product Development Center of the Ministry of Agriculture of China. Up to now, the Opuntia Milpa Alta has been cultivated on a certain scale in China. This study aims to identify the research progress and development trends… More >

Seerat Saleem¹, Naveed Ul Mushtaq¹, Wasifa Hafiz Shah¹, Aadil Rasool¹, Khalid Rehman Hakeem^2,*, Reiaz Ul Rehman^1,*

Phyton-International Journal of Experimental Botany, Vol.90, No.5, pp. 1363-1385, 2021, DOI:10.32604/phyton.2021.014826 - 27 May 2021

Abstract Abiotic stresses such as drought, heat, cold, nutrient deficiency, excess salt and hazardous metals can hamper plantgrowth and development. Intensive agriculture of only a few major staple food crops that are sensitive and intolerant to environmental stresses has led to an agrarian crisis. On the other hand, nutritionally rich, gluten free and stress tolerant plants like millets are neglected and underutilized. Millets sustain about one-third of the world’s population and show exceptional tolerance to various abiotic and biotic stresses. Millets are C4 plants that are adapted to marginal and dry lands of arid and semi-arid… More >

Yuanfen Gao, Tinglan Jiang, Yin Xiang, Xuewu He, Zhen Zhang, Shengjuan Wen, Junjie Zhang^*

Phyton-International Journal of Experimental Botany, Vol.90, No.5, pp. 1465-1476, 2021, DOI:10.32604/phyton.2021.014811 - 27 May 2021

Abstract Brassinosteroids participate in many physiological processes in plants; however, their regulatory roles on the activities of the enzymes involved in dark phase of photosynthesis remains elusive. In this study, detached leaves and protoplasts of maize seedlings were treated with epi-brassinolide (EBR) and brassinazole followed by the determination of the contents of chlorophyll (a+b) and soluble sugars, and the activity of dark reaction enzymes and the expression of the relevant genes. The results showed that chlorophyll (a+b) content increased by 7.4% under 0.1 μM EBR treatment for 48 h; furthermore, chlorophyll (a+b) content increased by 34%… More >

Azam Zaka¹, Ahmad Saeed Akhter¹, Riffat Jabeen^2,*, Aamir Sanaullah²

CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 1201-1223, 2021, DOI:10.32604/cmes.2021.014477 - 24 May 2021

Abstract In practice, the control charts for monitoring of process mean are based on the normality assumption. But the performance of the control charts is seriously affected if the process of quality characteristics departs from normality. For such situations, we have modified the already existing control charts such as Shewhart control chart, exponentially weighted moving average (EWMA) control chart and hybrid exponentially weighted moving average (HEWMA) control chart by assuming that the distribution of underlying process follows Power function distribution (PFD). By considering the situation that the parameters of PFD are unknown, we estimate them by More >

Yudong Zhang^1,3,*, Xin Zhang^2,*, Weiguo Zhu¹

CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 1037-1058, 2021, DOI:10.32604/cmes.2021.015807 - 24 May 2021

Abstract Aim: To diagnose COVID-19 more efficiently and more correctly, this study proposed a novel attention network for COVID-19 (ANC). Methods: Two datasets were used in this study. An 18-way data augmentation was proposed to avoid overfitting. Then, convolutional block attention module (CBAM) was integrated to our model, the structure of which is fine-tuned. Finally, Grad-CAM was used to provide an explainable diagnosis. Results: The accuracy of our ANC methods on two datasets are 96.32% ± 1.06%, and 96.00% ± 1.03%, respectively. Conclusions: This proposed ANC method is superior to 9 state-of-the-art approaches. More >

Huinan Sun^1,*, Siqiang Wang², Zhuoqing Zhang¹, Chaoyong Xia¹, Xu Chen¹

CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 855-873, 2021, DOI:10.32604/cmes.2021.015791 - 24 May 2021

Abstract Grains are widely present in industrial productions and processing, and are stored in silos. In the silo, auxiliary structures are added to achieve efficient production. However, little effort has been devoted to the influence of the internal structure of the silo on the granular flow. In this work, a silo with a central decompression tube is studied through experimental measurements and discrete element methods. Then, the influences of the central decompression tube on the flow behavior of grains and wall pressure are analyzed. Results show that the grains are in mass flow in the silo… More >

Xiajiong Shen^1,3, Shuaimin Jiang^2,3, Lei Zhang^1,2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 1069-1085, 2021, DOI:10.32604/cmes.2021.015736 - 24 May 2021

Abstract The emergence of smart contracts has increased the attention of industry and academia to blockchain technology, which is tamper-proofing, decentralized, autonomous, and enables decentralized applications to operate in untrustworthy environments. However, these features of this technology are also easily exploited by unscrupulous individuals, a typical example of which is the Ponzi scheme in Ethereum. The negative effect of unscrupulous individuals writing Ponzi scheme-type smart contracts in Ethereum and then using these contracts to scam large amounts of money has been significant. To solve this problem, we propose a detection model for detecting Ponzi schemes in… More >

Ellie Vineyard¹, Xin-Lin Gao^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.3, pp. 819-854, 2021, DOI:10.32604/cmes.2021.015688 - 24 May 2021

Abstract 2-D and 3-D micro-architectured multiphase thermoelastic metamaterials are designed and analyzed using a parametric level set method for topology optimization and the finite element method. An asymptotic homogenization approach is employed to obtain the effective thermoelastic properties of the multiphase metamaterials. The -constraint multi-objective optimization method is adopted in the formulation. The coefficient of thermal expansion (CTE) and Poisson’s ratio (PR) are chosen as two objective functions, with the CTE optimized and the PR treated as a constraint. The optimization problems are solved by using the method of moving asymptotes. Effective isotropic and anisotropic CTEs More >