Xiaoli Zhang^1,2,#, Xiaohong Yin^2,3,#, Jiana Chen^3,#, Fangbo Cao³, Yu Liu³, Zhengwu Xiao³, Liqin Hu³, Guanghui Chen³, Tianfeng Liang^1,2,*, Min Huang^3,*

Phyton-International Journal of Experimental Botany, Vol.90, No.4, pp. 1285-1292, 2021, DOI:10.32604/phyton.2021.014778

Abstract Protein in rice grains is an important source of nutrition for rice consumers. This study mainly aimed to identify the critical factors that determine grain protein concentration in rice. Accumulation parameters, including mean accumulation rate (R_mean) and active accumulation duration (D_active), for protein and non-protein components and their correlations with protein concentration in rice grains were investigated in field experiments conducted over two years with six rice cultivars. Results showed that grain protein concentration ranged from 9.6% to 11.9% across cultivars and years. Accumulation processes of protein and non-protein components were well fitted by the logistic equation for all six… More >

Ying Cui¹, Shi Qiu^2,*, Tong Li³

Intelligent Automation & Soft Computing, Vol.28, No.2, pp. 417-428, 2021, DOI:10.32604/iasc.2021.016802

Abstract It is difficult to recognize a target object from foggy images. Aiming at solving this problem, a new algorithm is thereby proposed. Fog concentration estimation is the prerequisite for image defogging. Due to the uncertainty of fog distribution, a fog concentration estimation model is accordingly proposed. Establish the brightness and gradient model in the spatial domain, and establish the FFT model in the frequency domain. Also, a multiple branch network framework is established to realize the qualitative estimation of the fog concentration in images based on comprehensive analysis from spatial and frequency domain levels. In the aspect of foggy image… More >

Roberto Arredondo-Valdés¹, Francisco D. Hernández-Castillo², Mario Rocandio-Rodríguez¹, Julia C. Anguiano-Cabello³, Madai Rosas-Mejía¹, Venancio Vanoye-Eligio¹, Salvador Ordaz-Silva⁴, Imelda V. López-Sánchez⁴, Laura D. Carrazco-Peña⁴, Julio C. Chacón-Hernández^1,*

Phyton-International Journal of Experimental Botany, Vol.90, No.3, pp. 895-906, 2021, DOI:10.32604/phyton.2021.014301

Abstract The tomato (Solanum lycopersicum L.) is one of the world’s most important vegetable crops. Still, phytopathogenic bacteria affect the yield and quality of tomato cultivation, like Agrobacterium tumefeciens (At), Clavibacter michiganensis subsp. michiganensis (Cmm), Pseudomonas syringae pv. tomato (Pst), Ralstonia solanacearum (Rs), and Xanthomonas axonopodis (Xa). Synthetic chemical products are used mostly on disease plant control, but overuse generates resistance to bacterial control. This study aimed to evaluate the in vitro antibacterial activity of the ethanolic extract of Moringa oleifera Lam. leaves against At, Cmm, Pst, Rs, and Xa, as well as information about this plant species’ chemical composition. Antibacterial… More >

Yukun Lv, Yuechi Wang^*, Jiawen Wang, Jing Wang, Jiaxi Yang

Energy Engineering, Vol.118, No.3, pp. 631-642, 2021, DOI:10.32604/EE.2021.014578

Abstract In recent years, more than 50% of the cities in the inland area of our country have suffered from moderate pollution. It can affect the distribution of electric field along the surface of insulator and the pollution characteristics of its surface area, even endanger the safe operation of transmission lines. This paper takes the XSP-160 porcelain three umbrella insulator under the action of 0–±30 kV DC voltage as the research object, and establishes the physical model of the insulator; uses COMSOL software to simulate the electric field of the insulator. The comparison with the results of the wind tunnel test… More >

Anh Tuan Hoang¹, Xuan Phuong Nguyen², Osamah Ibrahim Khalaf³, Thi Xuan Tran⁴, Minh Quang Chau⁵, Thi Minh Hao Dong², Duong Nam Nguyen^6,*

CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 1129-1145, 2021, DOI:10.32604/cmc.2021.015349

Abstract The type of technology used to strengthen the surface structure of machine parts, typically by carbon-permeation, has made a great contribution to the mechanical engineering industry because of its outstanding advantages in corrosion resistance and enhanced mechanical and physical properties. Furthermore, carbon permeation is considered as an optimal method of heat treatment through the diffusion of carbon atoms into the surface of alloy steel. This study presented research results on the thermodynamic calculation and simulation of the carbon permeability process. Applying Fick’s law, the paper calculated the distribution of carbon concentration in the alloy steel after it is absorbed from… More >

Mercedes Georgina Ramírez-Aragón¹, Victoria Jared Borroel-García¹, Ramón Valenzuela-Soto¹, Ricardo David Valdez-Cepeda², Francisco Javier Wong-Corral³, José Luis García-Hernández^4,*

Phyton-International Journal of Experimental Botany, Vol.90, No.2, pp. 533-541, 2021, DOI:10.32604/phyton.2021.013166

Abstract The extraction of bioactive compounds has become one of the most interesting areas of modern chemistry. For therapeutic reasons, it´s important to obtain antimicrobial agents from natural origin. The objective of the present study was to determine the inhibitory effect of ethanolic extract of basil (Ocimum basilicum L. var. Red Rubin) subjected to different concentrations of potassium (K⁺) on the activity of three bacterial strains that are pathogens in humans. Susceptibility was evaluated by inhibition surface and these results were compared to two antibiotics: Gentamicin (GE) and Ciprofloxacin (CPF) for their efficacy against each bacterial strain. Analyzed variables presented significant… More >

Huazhe Jiao^1,2, Yachuang Wu¹, Wei Wang^2,*, Xinming Chen¹, Yunfei Wang¹, Juanhong Liu³, Wentao Feng⁴

Journal of Renewable Materials, Vol.9, No.4, pp. 637-650, 2021, DOI:10.32604/jrm.2021.014310

Abstract Higher concentration is beneficial for the Paste and Thickened Tailings (PTT) operation in metal mine. Partial paste thickeners are produced lower density underflow. Flocculated tailings are intended to form a water entrapped network structure in thickener, which is detrimental to underflow concentration. In this study, the continuous thickening experiment was carried out for ultra-fine tungsten tailings to study the influence of rake shearing on underflow. The micro pores structure and seepage flow in tailings bed before and after shearing are studied by CT and simulation approach to reveal the shearing enhancement mechanism of thickening process. The results shown that, the… More >

Louis Francois Marie^1,*, Sunkara Prudhvi Raj², Policherla Venkata Sai³, Tara MacLeod¹, Morapakala Srinivas², K. Srinivas Reddy³, Tadhg Seán O’Donovan⁴

Energy Engineering, Vol.117, No.5, pp. 323-342, 2020, DOI:10.32604/EE.2020.011035

Abstract Non-centrifugal cane sugar (NCS), known as Jaggery, is a form of unre- fined sugar which contains molasses. The integration of renewable energy resources in the production of NCS, have been analysed. The work investigates the energy requirements of a system incorporating a freeze-concentrator and a solar thermal heater to reduce the reliance on the combustion of bagasse or other fuels in a Jaggery production process. Depending on the extent to which freeze concentration can be incorporated into the process, results show that the minimum theoretical energy required to produce Jaggery can be reduced by 91.30% overall. Although difficult in practice,… More >

Shusheng Xiong¹, Defeng Xuan², Yonggen Zhang², Zhankuan Wu¹, Wei Li^1,*, Zhaohan Hu¹, Jing Xu¹

Energy Engineering, Vol.117, No.5, pp. 315-322, 2020, DOI:10.32604/EE.2020.011975

Abstract This research studied catalytic reforming mechanism of low concentration alcohol, analyzed the producing conditions and influencing factors of a mixture of combustible gas, took an analysis towards the composition of the mixture produced by reforming, and studied the respective effects of temperature, traffic, alcohol concentration and catalyst on the components of mixed gas. It is found that, under different working conditions of the engine, the external condition of the reforming reaction changes, and the composition of the reforming gas will differ as well. As a result, the optimum air-fuel ratio of the engine must at the same time adapt to… More >

Byoung-Doo Oh^a,b, Hye-Jeong Song^a,b, Jong-Dae Kim^a,b, Chan-Young Park^a,b, Yu-Seop Kim^a,b

Intelligent Automation & Soft Computing, Vol.25, No.2, pp. 343-350, 2019, DOI:10.31209/2019.100000095

Abstract Accurate prediction of fine dust (PM10) concentration is currently recognized as an important problem in East Asia. In this paper, we try to predict the concentration of PM10 using Deep Neural Network (DNN). Meteorological factors, yellow dust (sand), fog, and PM10 are used as input data. We test two cases. The first case predicts the concentration of PM10 on the next day using the day’s weather forecast data. The second case predicts the concentration of PM10 on the next day using the previous day’s data. Based on this, we compare the various performance results from the DNN model. In the… More >