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  • Open Access

    ARTICLE

    Comparative Transcriptome Analysis of Salt-Stress-Responsive Genes in Rice Roots

    Rui Song1, Yan Huang2, Xin Ji3, Yunfei Wei3, Qiuyuan Liu3, Shumei Li3, Juan Liu3,*, Pengfei Dong1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 237-250, 2023, DOI:10.32604/phyton.2022.023081 - 06 September 2022

    Abstract Soil salinity greatly impairs plant growth and crop productivity. Rice (Oryza sativa L.) is a salt-sensitive crop. To better understand the molecular mechanisms of salt tolerance in roots, the BGISEQ-500 sequencing platform was employed to elucidate transcriptome changes in rice roots after 0, 3, 24, and 72 h of salt stress. The results showed that root K+ content decreased and Na+ content increased rapidly after the initial stage of salt stress, but that fresh and dry weight in root did not significantly reduce. Compared to the control (no salt stress), 1,292, 453, and 486 differentially… More >

  • Open Access

    ARTICLE

    Effects of Fertilization on Soil CO2 Efflux in Chinese Hickory (Carya cathayensis) Stand

    Juan Liu1,2,*, Meiqun Zheng1, Xueshuang Chen1

    Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 271-283, 2023, DOI:10.32604/phyton.2022.023397 - 06 September 2022

    Abstract Chinese hickory (Carya cathayensis Sarg.) is a popular nut tree in China, but there is little information about the influences of fertilization on soil CO2 efflux and soil microbial biomass. This study evaluated the short-term effects of different fertilizer applications on soil CO2 efflux and soil microbial biomass in Chinese hickory stands. Four fertilizer treatments were established: control (CK, no fertilizer), inorganic fertilizer (IF), organic fertilizer (OF), and equal parts organic and inorganic N fertilizers (OIF). A field experiment was conducted to measure soil CO2 effluxes using closed chamber and gas chromatography techniques. Regardless of the fertilization practices,… More >

  • Open Access

    ARTICLE

    An Effective Machine-Learning Based Feature Extraction/Recognition Model for Fetal Heart Defect Detection from 2D Ultrasonic Imageries

    Bingzheng Wu1, Peizhong Liu1, Huiling Wu2, Shunlan Liu2, Shaozheng He2, Guorong Lv2,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1069-1089, 2023, DOI:10.32604/cmes.2022.020870 - 31 August 2022

    Abstract Congenital heart defect, accounting for about 30% of congenital defects, is the most common one. Data shows that congenital heart defects have seriously affected the birth rate of healthy newborns. In Fetal and Neonatal Cardiology, medical imaging technology (2D ultrasonic, MRI) has been proved to be helpful to detect congenital defects of the fetal heart and assists sonographers in prenatal diagnosis. It is a highly complex task to recognize 2D fetal heart ultrasonic standard plane (FHUSP) manually. Compared with manual identification, automatic identification through artificial intelligence can save a lot of time, ensure the efficiency… More >

  • Open Access

    EDITORIAL

    Introduction to the Special Issue on Advances in Neutrosophic and Plithogenic Sets for Engineering and Sciences: Theory, Models, and Applications

    S. A. Edalatpanah1,*, Florentin Smarandache2

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 817-819, 2023, DOI:10.32604/cmes.2022.024060 - 31 August 2022

    Abstract This article has no abstract. More >

  • Open Access

    EDITORIAL

    Introduction to the Special Issue on Hybrid Intelligent Methods for Forecasting in Resources and Energy Field

    Wei-Chiang Hong1,*, Yi Liang2

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 763-766, 2023, DOI:10.32604/cmes.2022.023022 - 31 August 2022

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Retrieval and Regional Distribution Analysis of Ammonia, Sulfur Dioxide and Nitrogen Dioxide in the Urban Environment Using Ultraviolet DOAS Algorithm

    Hao Chen1, Jie Xu1, Yibo Hu1, Fuzhou Niu1,*, Zhiyan Li2, Dan Wang2, Guizhong Fu1, Chuanxin Li3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1251-1262, 2023, DOI:10.32604/cmes.2022.022279 - 31 August 2022

    Abstract Aiming at the in situ and mobile observation of urban environmental air pollution, a portable instrument using ultraviolet spectrum retrieval algorithm was developed based on the basis of Differential Optical Absorption Spectroscopy (DOAS) and multiple-pass cell technique. Typical trace gas pollutants, NH3, SO2, and NO2, were explored using their optical spectral characteristics in deep ultraviolet wavelength range from 210 to 215 nm. The gas concentration was retrieved by Lambert-Beer's law and nonlinear least square method. With an optimized optical alignment, the detection limits of NH3, SO2, NO2 were estimated to be 2.2, 2.3, and 36.2 ppb, respectively. The More >

  • Open Access

    ARTICLE

    Thermal Analysis of Turbine Blades with Thermal Barrier Coatings Using Virtual Wall Thickness Method

    Linchuan Liu1, Jian Wu2, Zhongwei Hu2, Xiaochao Jin1,*, Pin Lu1, Tao Zhang2, Xueling Fan1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1219-1236, 2023, DOI:10.32604/cmes.2022.022221 - 31 August 2022

    Abstract A virtual wall thickness method is developed to simulate the temperature field of turbine blades with thermal barrier coatings (TBCs), to simplify the modeling process and improve the calculation efficiency. The results show that the virtual wall thickness method can improve the mesh quality by 20%, reduce the number of meshes by 76.7% and save the calculation time by 35.5%, compared with the traditional real wall thickness method. The average calculation error of the two methods is between 0.21% and 0.93%. Furthermore, the temperature at the blade leading edge is the highest and the average… More >

  • Open Access

    ARTICLE

    Optimization of Charging/Battery-Swap Station Location of Electric Vehicles with an Improved Genetic Algorithm-Based Model

    Bida Zhang1,*, Qiang Yan1, Hairui Zhang2, Lin Zhang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1177-1194, 2023, DOI:10.32604/cmes.2022.022089 - 31 August 2022

    Abstract The joint location planning of charging/battery-swap facilities for electric vehicles is a complex problem. Considering the differences between these two modes of power replenishment, we constructed a joint location-planning model to minimize construction and operation costs, user costs, and user satisfaction-related penalty costs. We designed an improved genetic algorithm that changes the crossover rate using the fitness value, memorizes, and transfers excellent genes. In addition, the present model addresses the problem of “premature convergence” in conventional genetic algorithms. A simulated example revealed that our proposed model could provide a basis for optimized location planning of More >

  • Open Access

    ARTICLE

    An Extended Fuzzy-DEMATEL System for Factor Analyses on Social Capital Selection in the Renovation of Old Residential Communities

    Guoshuai Sun1,2,3, Xiuru Tang1, Shuping Wan2,*, Jiao Feng4

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1041-1067, 2023, DOI:10.32604/cmes.2022.021981 - 31 August 2022

    Abstract China has been promoting the renovation of old residential communities vigorously. Due to the financial pressure of the government and the sustainability of the renovation of old residential communities, public-private partnerships (PPP) have already gained attention. The selection of social capital is key to improving the efficiency of the PPP model in renovating old residential communities. In order to determine the influencing factors of social capital selection in the renovation of old residential communities, this paper aims to find an effective approach and analyze these factors. In this paper, a fuzzy decision-making and trial evaluation… More >

  • Open Access

    ARTICLE

    Research on Evaluation of Multi-Timescale Flexibility and Energy Storage Deployment for the High-Penetration Renewable Energy of Power Systems

    Hongliang Wang1, Jiahua Hu1, Danhuang Dong1, Cenfeng Wang1, Feixia Tang2, Yizheng Wang1, Changsen Feng2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1137-1158, 2023, DOI:10.32604/cmes.2022.021965 - 31 August 2022

    Abstract With the rapid and wide deployment of renewable energy, the operations of the power system are facing greater challenges when dispatching flexible resources to keep power balance. The output power of renewable energy is uncertain, and thus flexible regulation for the power balance is highly demanded. Considering the multi-timescale output characteristics of renewable energy, a flexibility evaluation method based on multi-scale morphological decomposition and a multi-timescale energy storage deployment model based on bi-level decision-making are proposed in this paper. Through the multi-timescale decomposition algorithm on the basis of mathematical morphology, the multi-timescale components are separated More >

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