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  • Open Access

    ARTICLE

    Effect of Algae on Melon (Cucumis melo subsp. agrestis var. conomon) Growth and Development under Drought-Stress Conditions

    M. Zeki KARİPÇİN1, Behcet İNAL2,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.11, pp. 3177-3193, 2023, DOI:10.32604/phyton.2023.030979

    Abstract Due to climate change, it is necessary to develop plant varieties that are resilient to climate conditions and resistant to abiotic and biotic stresses. The use of microalgae, which are microorganisms that contain carbohydrates, proteins, lipids, and vitamins, against drought tolerance is a new approach. The aim of the current study was to determine the drought-related mechanisms in the conomon melon genotype and develop drought-tolerant melon cultivars. Morphological, physiological, pomological, and molecular analyses were carried out on the algae-treated genotypes. It has been determined that commercial algae application provides the best results in leaf temperature, leaf relative water contents (LRWC),… More >

  • Open Access

    ARTICLE

    Big Data Testing Techniques: Taxonomy, Challenges and Future Trends

    Iram Arshad1,*, Saeed Hamood Alsamhi1, Wasif Afzal2

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 2739-2770, 2023, DOI:10.32604/cmc.2023.030266

    Abstract Big Data is reforming many industrial domains by providing decision support through analyzing large data volumes. Big Data testing aims to ensure that Big Data systems run smoothly and error-free while maintaining the performance and quality of data. However, because of the diversity and complexity of data, testing Big Data is challenging. Though numerous research efforts deal with Big Data testing, a comprehensive review to address testing techniques and challenges of Big Data is not available as yet. Therefore, we have systematically reviewed the Big Data testing techniques’ evidence occurring in the period 2010–2021. This paper discusses testing data processing… More >

  • Open Access

    COMMUNICATION

    Electrochemical Identification of Yulania spp. by Fingerprinting of Leaves Using Glassy Carbon Electrode

    Zhiguo Lu1, Yuhong Zheng1,*, Pengchong Zhang2, Boyuan Fan3, Aimin Yu4, Li Fu3,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.11, pp. 2549-2558, 2022, DOI:10.32604/phyton.2022.021288

    Abstract In this communication, we used electrochemical sensor for recording the electrochemical profiles of eleven species of Yulania spp. from leaf extract. Two solvents and two buffer conditions were used for electrochemical fingerprints collection. Their electrochemical fingerprints can be converted to different patterns and consequently for species recognition. The results indicate the pattern recognition is much convenient than that of the recognition of species directly using voltammetric signal. The current information in electrochemical fingerprinting represents the type and amount of electrochemically active molecules, which linked to the genetic differences among the plants. Therefore, the electrochemical fingerprints were applied for further phylogenetic… More >

  • Open Access

    ARTICLE

    Authentication in Wireless Body Area Network: Taxonomy and Open Challenges

    Abdullah M. Almuhaideb, Kawther S. Alqudaihi*

    Journal on Internet of Things, Vol.3, No.4, pp. 159-182, 2021, DOI:10.32604/jiot.2021.018088

    Abstract Wearable body area network (WBAN) aids the communication between the health providers and patients by supporting health monitoring services. It assists the users to maintain their health status records by collecting the body signals and transmitting them for further processing measurements. However, sensor data are publicly transferred through insecure network that facilitates the attacker malicious acts like performing masquerading attack, man in the middle, and snooping. Several authentication techniques were suggested to levitate the security of the communication channels to preserve the user data from exposure. Moreover, authentication schemes aid plenty of security issues related to user and data privacy,… More >

  • Open Access

    ARTICLE

    Isolation, purification and structure elucidation of three new bioactive secondary metabolites from Streptomyces lividans AM

    MOHAMMAD EL-METWALLY1,*, MAMDOUH ABDEL-MOGIB2, MANAL ELFEDAWY2, GAAD SOHSAH2, AHMED REZK3, MAHMOUD MOUSTAFA4, MOHAMED SHAABAN5,6

    BIOCELL, Vol.45, No.5, pp. 1263-1271, 2021, DOI:10.32604/biocell.2021.013198

    Abstract Microorganisms are a huge mine of bioactive metabolites, and actinomycetes are one of the very active groups in this area. In this article, we are concerned about the full taxonomical characterization of Streptomyces lividans AM, isolated from Egyptian soil. This isolate produced three new bioactive metabolites, namely: 1-Nona-decanoyl,4-oleyl disuccinate (1), filoboletic acid; (9Z,11E)-8,13-dihydroxy octadeca-9,11-dienoic acid (2), and sitosteryl-3β-D-glucoside (3). Extensive 1D and 2D NMR and HR-mass spectrometry were used to elucidate the structures of the three compounds. Moreover, ten known compounds were also identified. The antimicrobial activity of the producing organism and newly reported compounds (1–3) was investigated against a… More >

  • Open Access

    ARTICLE

    Rasch Model Assessment for Bloom Digital Taxonomy Applications

    Mohd Effendi Ewan Mohd Matore*

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 1235-1253, 2021, DOI:10.32604/cmc.2021.016143

    Abstract Assessment using Bloom’s taxonomy levels has evolved in a variety of contexts and uses. In the era of the COVID-19 pandemic, which necessitates use of online assessment, the need for teachers to use digital-based taxonomy skills or Bloom’s Digital Taxonomy (BDT) has increased even more. However, the existing studies on validity and reliability of BDT items are limited. To overcome this limitation, this study aims to test whether BDT has good psychometric characteristics as a teacher’s self-assessment tool using the Rasch model analysis and to investigate the pattern of BDT usage in teaching and learning. By using a quantitative online… More >

  • Open Access

    ARTICLE

    Natarajania thailandica sp. nov. (Stilbosporaceae, Diaporthales) from Thailand

    Monika C. Dayarathne1, Rashika S. Brahmanage2, Kevin D. Hyde2,3, Yong Wang1,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.2, pp. 677-686, 2021, DOI:10.32604/phyton.2021.012897

    Abstract A fungus similar to the monotypic genus Natarajania, isolated from dead wood and collected in Thailand, is reported. Analysis of partial ribosomal LSU and a protein coding gene (RPB2) demonstrated that the new isolate belonged to Stilbosporaceae, Diaporthales and genetically different from N. indica. It is unique in producing synnematous conidiophores, smooth-walled conidiogenous cells and a flared collarette but lacks an elongated collar-canal which is distinct in the type species. Therefore, sequence data and morphological traits are used to introduce the new species, Natarajania thailandica. More >

  • Open Access

    ARTICLE

    Survey of Robotics in Education, Taxonomy, Applications, and Platforms during COVID-19

    Hussain A. Younis1,2, A. S. A. Mohamed2,*, R. Jamaludin3, M. N. Ab Wahab2

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 687-707, 2021, DOI:10.32604/cmc.2021.013746

    Abstract The coronavirus disease 2019 (COVID-19) is characterized as a disease caused by a novel coronavirus known as severe acute respiratory coronavirus syndrome 2 (SARS-CoV-2; formerly known as 2019-nCoV). In December 2019, COVID-19 began to appear in a few countries. By the beginning of 2020, it had spread to most countries across the world. This is when education challenges began to arise. The COVID-19 crisis led to the closure of thousands of schools and universities all over the world. Such a situation requires reliance on e-learning and robotics education for students to continue their studies to avoid the mingling between people… More >

  • Open Access

    ARTICLE

    Clustering Algorithms: Taxonomy, Comparison, and Empirical Analysis in 2D Datasets

    Samih M. Mostafa1,2,*

    Journal on Artificial Intelligence, Vol.2, No.4, pp. 189-215, 2020, DOI:10.32604/jai.2020.014944

    Abstract Because of the abundance of clustering methods, comparing between methods and determining which method is proper for a given dataset is crucial. Especially, the availability of huge experimental datasets and transactional and the emerging requirements for data mining and the like needs badly for clustering algorithms that can be applied in various domains. This paper presents essential notions of clustering and offers an overview of the significant features of the most common representative clustering algorithms of clustering categories presented in a comparative way. More specifically the study is based on the numerical type of the data that the algorithm supports,… More >

  • Open Access

    ARTICLE

    Sexual Morph of Furcasterigmium furcatum (Plectosphaerellaceae) from Magnolia liliifera Collected in Northern Thailand

    Jutamart Monkai1, Ruvishika S. Jayawardena1,2, Sajeewa S. N. Maharachchikumbura3,*, Kevin D. Hyde1

    Phyton-International Journal of Experimental Botany, Vol.89, No.3, pp. 765-777, 2020, DOI:10.32604/phyton.2020.09720

    Abstract We isolated an interesting fungus from dead leaves of Magnolia liliifera collected from Chiang Mai, Thailand. The novel strain is related to Plectosphaerellaceae based on the morphology of its asexual morph and the analysis of sequence data. Phylogenetic analyses using a combined gene analysis of LSU and ITS sequence data showed that this strain is clustered in the same clade with Furcasterigmium furcatum with high statistical support. The new strains produced the asexual morph in culture which is morphologically similar to F. furcatum. Thus, we identified this strain as the sexual morph of F. furcatum. This is the first record… More >

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