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  • Open Access

    REVIEW

    Non-Canonical Functions of the E2F/DP Pathway with Emphasis in Plants

    Víctor A. Sánchez-Camargo1,2, Samantha Romero-Rodríguez1, Jorge M. Vázquez-Ramos1,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.2, pp. 307-330, 2021, DOI:10.32604/phyton.2021.014967 - 07 February 2021

    Abstract The E2F/DP pathway is a widely conserved regulatory mechanism in pluricellular organisms. The family of E2F and DP transcription factors was originally described having a role in the transition from the G1 to the S phase of the cell cycle. However, the discovery of hundreds of possible gene targets and their involvement in many other biochemical processes, soon showed that they participated in cell development and differentiation, chromatin remodeling, DNA repair and others. The E2F/DP transcription factors can act as either activators or repressors of transcription depending on their association to other regulatory proteins, particularly… More >

  • Open Access

    ARTICLE

    Load Frequency Control of Multi-interconnected Renewable Energy Plants Using Multi-Verse Optimizer

    Hegazy Rezk1,*, Mohamed A. Mohamed2, Ahmed A. Zaki Diab2, N. Kanagaraj1

    Computer Systems Science and Engineering, Vol.37, No.2, pp. 219-231, 2021, DOI:10.32604/csse.2021.015543 - 01 March 2021

    Abstract A reliable approach based on a multi-verse optimization algorithm (MVO) for designing load frequency control incorporated in multi-interconnected power system comprising wind power and photovoltaic (PV) plants is presented in this paper. It has been applied for optimizing the control parameters of the load frequency controller (LFC) of the multi-source power system (MSPS). The MSPS includes thermal, gas, and hydro power plants for energy generation. Moreover, the MSPS is integrated with renewable energy sources (RES). The MVO algorithm is applied to acquire the ideal parameters of the controller for controlling a single area and a More >

  • Open Access

    ARTICLE

    Image-Based Automatic Diagnostic System for Tomato Plants Using Deep Learning

    Shaheen Khatoon1,*, Md Maruf Hasan1, Amna Asif1, Majed Alshmari1, Yun-Kiam Yap2

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 595-612, 2021, DOI:10.32604/cmc.2021.014580 - 12 January 2021

    Abstract Tomato production is affected by various threats, including pests, pathogens, and nutritional deficiencies during its growth process. If control is not timely, these threats affect the plant-growth, fruit-yield, or even loss of the entire crop, which is a key danger to farmers’ livelihood and food security. Traditional plant disease diagnosis methods heavily rely on plant pathologists that incur high processing time and huge cost. Rapid and cost-effective methods are essential for timely detection and early intervention of basic food threats to ensure food security and reduce substantial economic loss. Recent developments in Artificial Intelligence (AI)… More >

  • Open Access

    ARTICLE

    Optimal Robust Control for Unstable Delay System

    Rihem Farkh1,2,*, Khaled A. Aljaloud1, Moufida Ksouri2, Faouzi Bouani2

    Computer Systems Science and Engineering, Vol.36, No.2, pp. 307-321, 2021, DOI:10.32604/csse.2021.014334 - 05 January 2021

    Abstract Proportional-Integral-Derivative control system has been widely used in industrial applications. For uncertain and unstable systems, tuning controller parameters to satisfy the process requirements is very challenging. In general, the whole system’s performance strongly depends on the controller’s efficiency and hence the tuning process plays a key role in the system’s response. This paper presents a robust optimal Proportional-Integral-Derivative controller design methodology for the control of unstable delay system with parametric uncertainty using a combination of Kharitonov theorem and genetic algorithm optimization based approaches. In this study, the Generalized Kharitonov Theorem (GKT) for quasi-polynomials is employed… More >

  • Open Access

    ARTICLE

    Severity Recognition of Aloe vera Diseases Using AI in Tensor Flow Domain

    Nazeer Muhammad1, Rubab2, Nargis Bibi3, Oh-Young Song4, Muhammad Attique Khan5,*, Sajid Ali Khan6

    CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 2199-2216, 2021, DOI:10.32604/cmc.2020.012257 - 26 November 2020

    Abstract Agriculture plays an important role in the economy of all countries. However, plant diseases may badly affect the quality of food, production, and ultimately the economy. For plant disease detection and management, agriculturalists spend a huge amount of money. However, the manual detection method of plant diseases is complicated and time-consuming. Consequently, automated systems for plant disease detection using machine learning (ML) approaches are proposed. However, most of the existing ML techniques of plants diseases recognition are based on handcrafted features and they rarely deal with huge amount of input data. To address the issue,… More >

  • Open Access

    ARTICLE

    Cytogenetical Changes among Polyembryonic (PEm) and Non-PEm Maize Plants

    A. A. Román-Calzoncit1, F. Ramírez-Godina2,*, J. Sánchez-Laureano2, A. C. Flores-Gallegos1, J. Espinoza-Velázquez2, R. Rodríguez-Herrera1,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 87-97, 2021, DOI:10.32604/phyton.2020.013880 - 20 November 2020

    Abstract Polyembryony in maize (PEm) contributes to improving the nutritional properties of the grain, as well as an increase in yield, since it generates multiple plants per seed, opening the possibility of developing new varieties. However, it is unknown whether polyembryony in maize is the product of chromosomal abnormalities. Based on the above, in this research a cytogenetic study was proposed to verify if chromosomal abnormalities are related to the maize polyembryony. For a meiotic study, maize genotypes with variable proportions of polyembryony (PEm), from the UA-IMM-BAP population and non-PEm (monoembryonic) maize were used, while for… More >

  • Open Access

    HOW I DO IT

    Next-generation DNA sequencing for infected genitourinary implants: How I do it

    Paul H. Chung, Joon Yau Leong, Seth Teplitsky, Patrick J. Shenot, Akhil K. Das, Leonard G. Gomella

    Canadian Journal of Urology, Vol.27, No.5, pp. 10418-10423, 2020

    Abstract Infection of artificial urinary sphincters or inflatable penile prostheses is one of the most devastating complications after prosthetic surgery and can have a significant impact on a quality of life. Patients undergoing revision surgery with or without device replacement may have increased risk for infection when compared to initial primary surgery. As such, surgeons may utilize traditional culture results to direct antimicrobial therapy for these patients. Unfortunately, culture results can be inconclusive in up to one-third of the time even in the setting of active device infection. Next-generation sequencing (NGS) of DNA is an emerging More >

  • Open Access

    ARTICLE

    Prediction of Proteins Associated with COVID-19 Based Ligand Designing and Molecular Modeling

    Majid Monajjemi1,*, Rahim Esmkhani2, Fatemeh Mollaamin1, Sara Shahriari3

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 907-926, 2020, DOI:10.32604/cmes.2020.012846 - 15 December 2020

    Abstract Current understanding about how the virus that causes COVID-19 spreads is largely based on what is known about similar coronaviruses. Some of the Natural products are suitable drugs against SARS-CoV-2 main protease. For recognizing a strong inhibitor, we have accomplished docking studies on the major virus protease with 4 natural product species as anti COVID-19 (SARS-CoV-2), namely “Vidarabine”, “Cytarabine”, “Gemcitabine” and “Matrine” which have been extracted from Gillan’s leaves plants. These are known as Chuchaq, Trshvash, Cote-Couto and Khlvash in Iran. Among these four studied compounds, Cytarabine appears as a suitable compound with high effectiveness… More >

  • Open Access

    ARTICLE

    Green Synthesis of Silver Nanoparticles Using Annona diversifolia Leaf Extract and Their Antimicrobial Application

    Rogelio Solorzano-Toala1, Daniel Gonzalez-Mendoza2,*, Benjamin Valdez-Salas3, Vianey MendezTrujillo4, Federico Gutierrez-Miceli1, Ernesto Beltran-Partida3, Olivia Tzintzun-Camacho2

    Journal of Renewable Materials, Vol.8, No.9, pp. 1129-1137, 2020, DOI:10.32604/jrm.2020.09845 - 03 August 2020

    Abstract The aim of this study was the synthesis of silver nanoparticle using Annona diversifolia Safford. The silver nanoparticles obtained were analyzed by spectroscopic methods and dynamic light scattering methods. The inhibition of AgNPs was evaluated against Bacillus cereus, Klebsiella pneumoniae and Enterobacter aerogenes. The results showed that AgNPs have high values at 3 keV and particle size between 45 to 58 nm with a homogenous morphology. The AgNPs showed growth inhibition against Klebsiella pneumoniae and Enterobacter aerogenes. Therefore studies are needed to confirm the potential antimicrobial of different AgNP from A. diversifolia in Gram negative and Gram positive bacteria. More >

  • Open Access

    ARTICLE

    Enhancing Drought Tolerance in Wheat through Improving MorphoPhysiological and Antioxidants Activities of Plants by the Supplementation of Foliar Silicon

    Zahoor Ahmad1,*, Ejaz Ahmad Waraich2, Celaleddin Barutçular1, Akbar Hossain3, Murat Erman4, Fatih ÇIĞ4, Hany Gharib5, Ayman EL Sabagh4, 5, *

    Phyton-International Journal of Experimental Botany, Vol.89, No.3, pp. 529-539, 2020, DOI:10.32604/phyton.2020.09143 - 22 June 2020

    Abstract The main objective of the research is to assess the role of foliar application of silicon (Si) for enhancing the survival ability of wheat under drought stress through improving its morphology, physicochemical and antioxidants activities. Treatments were five doses of Si at the rate of 2, 4, 6 and 8 mM and a control. After completion of seeds germination, pots were divided into four distinct groups at various field capacity (FC) levels, such as 100% FC (well-irrigated condition), 75% FC (slight water deficit), 50% FC (modest water deficit) and 25% FC (severe water deficit stress… More >

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