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  • Open Access

    ARTICLE

    Sources of Nitrogen in Combination with Systems of Irrigation Influence the Productivity of Modern Rice (Oryza sativa L.) Cultivars during Dry Season in Sub-Tropical Environment

    Uttam Kumer Sarker1, Md. Romij Uddin1,*, Ahmed Khairul Hasan1, Md. Abdur Rahman Sarkar1, Md. Abdus Salam1, Md. Alamgir Hossain2, Eldessoky S. Dessoky3, Ismail A. Ismail3

    Phyton-International Journal of Experimental Botany, Vol.91, No.8, pp. 1687-1708, 2022, DOI:10.32604/phyton.2022.020645 - 14 April 2022

    Abstract In irrigated agricultural systems, nitrogen (N) and water are the vital resources for sustainability of the crop production in the modern era of climate change. The current study aimed to assess the impact of water and N management on the productivity of irrigated rice cultivars. In the context, a field observation was done at the research farm of Bangladesh Agricultural University, Mymensingh, during dry seasons in consecutive two years (2018–2019 and 2019–2020). The experiments were set up following split-plot design assigning water management in the main plots, nitrogen management in the sub-plots, and the cultivars… More >

  • Open Access

    ARTICLE

    An Insight into the Second-Harmonic Current Reduction Control Strategies in Two-Stage Converters

    Lei Ren, Lei Zhang*

    Energy Engineering, Vol.119, No.3, pp. 1179-1196, 2022, DOI:10.32604/ee.2022.018902 - 31 March 2022

    Abstract Due to the components at twice the fundamental frequency of output voltage in the instantaneous output power of a two-stage single-phase inverter (TSI), the second harmonic current (SHC) is generated in the front-end dc-dc converter (FDC). To reduce the SHC, optimizing the control strategy of the FDC is an effective and costless approach. From the view of visual impedance, this paper conducts an intensive study on the SHC reduction strategies. Origin of the SHC is illustrated first. Then, the equivalent circuit models of the FDC under different control strategies are proposed to analyse the SHC… More >

  • Open Access

    ARTICLE

    Two-Stage PLS-SEM and Fuzzy AHP Approach to Investigate Vietnamese SMEs’ Export Competitiveness

    Phi-Hung Nguyen1,2,*

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 4107-4123, 2022, DOI:10.32604/cmc.2022.026286 - 29 March 2022

    Abstract Vietnam is paying great to the seafood exporting sector, offering various significant production advantages, concluding that it is critical to understand the competitiveness of the target market and implement effective strategies. However, due to COVID 19, the value of Vietnamese pangasius exports resulted in low and unpredictable profits for pangasius farmers. It is obvious to recognize competitiveness as Multi-Criteria Decision Making (MCDM) problem in the uncertain business environment. Therefore, this study is the first to propose a two-staged Partial Least Squares-Structural Equation Modeling (PLS-SEM) and Fuzzy Analytic Hierarchy Process (FAHP) analysis to identify potential criteria… More >

  • Open Access

    ARTICLE

    Image Masking and Enhancement System for Melanoma Early Stage Detection

    Fikret Yalcinkaya*, Ali Erbas

    Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1961-1977, 2022, DOI:10.32604/iasc.2022.024961 - 24 March 2022

    Abstract Early stage melanoma detection (ESMD) is crucial as late detection kills. Computer aided diagnosis systems (CADS) integrated with high level algorithms are major tools capable of ESMD with high degree of accuracy, specificity, and sensitivity. CADS use the image and the information within the pixels of the image. Pixels’ characteristics and orientations determine the colour and shapes of the images as the pixels and associated environment are closely interrelated with the lesion. CADS integrated with Convolutional Neural Networks (CNN) specifically play a major role for ESMD with high degree of accuracy. The proposed system has… More >

  • Open Access

    REVIEW

    Screening and evaluation of chilli (Capsicum annuum L.) genotypes for waterlogging tolerance at seedling stage

    MD. REZWAN MOLLA1,2,4, MD. MOTIAR ROHMAN2,*, MD. ROBYUL ISLAM1,2, MIRZA HASANUZZAMAN3,*, LUTFUL HASSAN4

    BIOCELL, Vol.46, No.7, pp. 1613-1627, 2022, DOI:10.32604/biocell.2022.019243 - 17 March 2022

    Abstract Waterlogging is an illustrious abiotic stress and the constrictions it enforces on plant roots have negative effects on growth and development. This study was undertaken to investigate waterlogging stress tolerant potential in chilli (Capsicum annum L.) genotypes through evaluating morphological, physiological, biochemical and anatomical parameters. Thirty-five days old seedlings of 10 chilli genotypes were exposed to waterlogging stress maintaining water height 3–5 cm over the soil surface artificially for three days. This duration (36–38 DAE) was termed as waterlogging period, and subsequent withdrawal of waterlogging condition (39–45 DAE) was regarded as a recovery phase. Based on… More >

  • Open Access

    ARTICLE

    Application of New Water Flooding Characteristic Curve in the High Water-Cut Stage of an Oilfield

    Xi Zhang1, Changquan Wang1,*, Hua Wu2, Xu Zhao2

    FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 661-677, 2022, DOI:10.32604/fdmp.2022.019486 - 22 February 2022

    Abstract The oil production predicted by means of the conventional water-drive characteristic curve is typically affected by large deviations with respect to the actual value when the so-called high water-cut stage is entered. In order to solve this problem, a new characteristic relationship between the relative permeability ratio and the average water saturation is proposed. By comparing the outcomes of different matching methods, it is verified that it can well reflect the variation characteristics of the relative permeability ratio curve. Combining the new formula with a reservoir engineering method, two new formulas are derived for the… More >

  • Open Access

    ARTICLE

    Two-Stage Fuzzy MCDM for Green Supplier Selection in Steel Industry

    Chia-Nan Wang, Thi-Ly Nguyen*, Thanh-Tuan Dang

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 1245-1260, 2022, DOI:10.32604/iasc.2022.024548 - 08 February 2022

    Abstract Steel is one of the most powerful industries globally, and the associated products have a tremendous impact on nurturing a sustainable society. Considering environmental concerns within this industry's supply chain is highly successful in saving both energy and natural resources and lowering greenhouse gas emissions. In light of this, sustainable suppliers are considered input partners who play a specific role in the chain of business operations of every enterprise, maintaining them to achieve higher levels of customer satisfaction and thus gain more market share. Supplier selection can be characterized as a multi-criteria decision-making (MCDM) problem… More >

  • Open Access

    ARTICLE

    Effects of Manganese Toxicity on the Growth and Gene Expression at the Seedling Stage of Soybean

    Ying Liu1,3,*, Jingye Chen1,3, Xiaohao Li1,3, Shaoxia Yang1, Hanqiao Hu1,3, Yingbin Xue2,3,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.5, pp. 975-987, 2022, DOI:10.32604/phyton.2022.019057 - 24 January 2022

    Abstract In order to investigate the effects of Manganese (Mn) toxicity stress on the growth and gene expression at the seedling stage of soybean, soybean seedlings were treated with normal Mn concentration (5 μmol/L MnSO4) and excess Mn concentration (100 μmol/L MnSO4) by the method of hydroponic culture in this study. When soybean was subjected to Mn toxicity stress, excessive Mn could affect seedling growth, root development, the number of Mn oxide spots in leaves, and the Mn accumulation content in different parts of soybean. With the increase of exogenous Mn concentration and the prolongation of culture… More >

  • Open Access

    ARTICLE

    The Intelligent Trajectory Optimization of Multistage Rocket with Gauss Pseudo-Spectral Method

    Lihua Zhu1,*, Yu Wang1, Zhiqiang Wu1, Cheire Cheng2

    Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 291-303, 2022, DOI:10.32604/iasc.2022.024252 - 05 January 2022

    Abstract The rapid developments of artificial intelligence in the last decade are influencing aerospace engineering to a great extent and research in this context is proliferating. In this paper, the trajectory optimization of a three-stage launch vehicle in the powering phase subject to the sun-synchronous orbit is considered. To solve the optimal control problem, the Gauss pseudo-spectral method (GPM) is used to transform the optimization model to a nonlinear programming (NLP) problem and sequential quadratic programming is applied to find the optimal solution. However, the sensitivity of the initial guess may cost the solver significant time More >

  • Open Access

    ARTICLE

    Kidney Tumor Segmentation Using Two-Stage Bottleneck Block Architecture

    Fuat Turk1,*, Murat Luy2, Necaattin Barışçı3, Fikret Yalçınkaya4

    Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 349-363, 2022, DOI:10.32604/iasc.2022.023710 - 05 January 2022

    Abstract Cases of kidney cancer have shown a rapid increase in recent years. Advanced technology has allowed bettering the existing treatment methods. Research on the subject is still continuing. Medical segmentation is also of increasing importance. In particular, deep learning-based studies are of great importance for accurate segmentation. Tumor detection is a relatively difficult procedure for soft tissue organs such as kidneys and the prostate. Kidney tumors, specifically, are a type of cancer with a higher incidence in older people. As age progresses, the importance of having diagnostic tests increases. In some cases, patients with kidney More >

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