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Search Results (109)
  • Open Access

    ARTICLE

    Molecular biology techniques as new alternatives for medicinal plant identification

    Villa-Hernández JM1, B García-Ocón2, E del C Sierra-Palacios2, C Pelayo-Zaldivar3, F Díaz de León-Sánchez1, LJ Pérez-Flores1, JA Mendoza-Espinoza2

    Phyton-International Journal of Experimental Botany, Vol.87, pp. 72-78, 2018, DOI:10.32604/phyton.2018.87.072

    Abstract Mexico bears witness to a long-standing tradition in the use of plants for medicinal purposes; nevertheless, standardized methodological approaches for the proper identification of these are still needed. The problem is especially noticeable during the validation of ingredients in herbal preparations, as so many of them are sold as powders. It is for these reasons that the present study aims to compare the results of classic taxonomical assessments with those obtained using more modern molecular techniques (e.g. PCR-amplified 18S ribosomal RNA gene analysis) in one ethnobotanical case-study carried out in the “Desierto de los Leones” National… More >

  • Open Access

    ARTICLE

    A Graph-Based Reinforcement Learning Method with Converged State Exploration and Exploitation

    Han Li1, Tianding Chen2, *, Hualiang Teng3, Yingtao Jiang4

    CMES-Computer Modeling in Engineering & Sciences, Vol.118, No.2, pp. 253-274, 2019, DOI:10.31614/cmes.2019.05807

    Abstract In any classical value-based reinforcement learning method, an agent, despite of its continuous interactions with the environment, is yet unable to quickly generate a complete and independent description of the entire environment, leaving the learning method to struggle with a difficult dilemma of choosing between the two tasks, namely exploration and exploitation. This problem becomes more pronounced when the agent has to deal with a dynamic environment, of which the configuration and/or parameters are constantly changing. In this paper, this problem is approached by first mapping a reinforcement learning scheme to a directed graph, and… More >

  • Open Access

    ARTICLE

    Comparison of Dilute Organic Acid Pretreatment and a Comprehensive Exploration of Citric Acid Pretreatment on Corn Cob

    Hui Qiao1, Jingzhao Cui1, Shuiping Ouyang1, Jinjie Shi2, Jia Ouyang1,3,*

    Journal of Renewable Materials, Vol.7, No.11, pp. 1197-1207, 2019, DOI:10.32604/jrm.2019.07735

    Abstract As an important agricultural waste, corn cob is one of the most abundant lignocellulosic biomass. In this work, dilute acid pretreatment using seven different organic acids were compared for compositional analysis of corn cob. The first pKa of organic acids, influenced by the number and type of the side group and distance between two carboxylic groups, played a crucial role in the pretreatment effect. Citric acid was found to have better pretreatment performance than other tested dicarboxylic acids. Under the condition of 30 mM, 160°C and 60 min, the level of xylose reached 22.64 g/L More >

  • Open Access

    ARTICLE

    The Origin and Identity of the Calyculus in Loranthaceae: Inferred From the Floral Organogenesis of Loranthus tanakae Franch. & Sav.

    Ruozhu Lin1, Bei Cui1,2 and Wenxia Zhao1,*

    Phyton-International Journal of Experimental Botany, Vol.88, No.3, pp. 285-293, 2019, DOI:10.32604/phyton.2019.07182

    Abstract The flowers of the hemiparasitic family Loranthaceae are always subtended by a rimmed structure known as the calyculus. The origin and identity of the calyculus have been disputed for more than a century. Various hypotheses have been proposed, for example, an outgrowth of the axis, a reduced calyx, and a bracteolar (prophyllar) origin, but controversies remain. To obtain a plausible explanation of the origin of the calyculus, we investigated the flowers of Loranthus tanakae using scanning electron microscopy and light microscopy to observe the entire developmental process of the floral parts. Our results show that… More >

  • Open Access

    ARTICLE

    Green Synthesis of Bimetallic Nanoparticles From Prosopis juliflora (Sw) DC., and Its Effect Against Cotton Mealybug, Phenacoccus solenopsis (Hemiptera: Pseudococcidae)

    V. Mendez-Trujillo1, B. Valdez-Salas2, M. Carrillo-Beltran2, M. A. Curiel-Alvarez2, O. Tzintzun-Camacho3, C. Ceceña-Duran3 and D. Gonzalez-Mendoza3,*

    Phyton-International Journal of Experimental Botany, Vol.88, No.3, pp. 269-275, 2019, DOI:10.32604/phyton.2019.07316

    Abstract Phenacoccus solenopsis has been recognized as an aggressively invasive species on cotton plants in different countries. This study was conducted to investigate the effect of green synthesized Cu/Zn-nanoparticles using aqueous leaf extract of Prosopis juliflora (mezquite) against P. solenopsis. The scanning electron microscope (SEM) showed bimetallic nanoparticles of Cu/Zn-NPs with spherical shape with varying size of 74.33 nm to 59.46 nm. More than 30% mortality of P. solenopsis was observed with Cu/Zn-nanoparticles (100 ppm) at 96 hours after treatment. Negligible mortality of P. solenopsis was recorded with Cu/Zn solution (100 ppm) and aqueous P. juliflora More >

  • Open Access

    ARTICLE

    A Challenging Approach to Improve the Low Affinity of Acrylic Fibres to Be Successfully Dyed with a Bio-Colorant Extracted from Grape Marc

    Noureddine Baaka1,*, Manel Ben Ticha1,2, Wafa Haddar1,3, Mohamed Farouk Mhenni1

    Journal of Renewable Materials, Vol.7, No.3, pp. 289-300, 2019, DOI:10.32604/jrm.2019.04355

    Abstract Acrylic fibres are highly crystalline and non-polar polymers, which makes their dyeing a very difficult step that poses real technical challenges. In order to overcome this concern, it is intended in this paper to modify acrylic fibers by different methods namely cationisation using the Crosscolor DRT then amidoximation using hydroxylamine hydrochloride and ammonium acetate. The resulted samples were dyed then with the bio-colorant extracted from grape marc. The effect of the pretreatment on fibers fine structure using X-ray diffraction and the scanning electron microscope (SEM) images and its correlation with the colour strength of the More >

  • Open Access

    ARTICLE

    A Perceptron Algorithm for Forest Fire Prediction Based on Wireless Sensor Networks

    Haoran Zhu1, Demin Gao1,2,*, Shuo Zhang1

    Journal on Internet of Things, Vol.1, No.1, pp. 25-31, 2019, DOI:10.32604/jiot.2019.05897

    Abstract Forest fire prediction constitutes a significant component of forest management. Timely and accurate forest fire prediction will greatly reduce property and natural losses. A quick method to estimate forest fire hazard levels through known climatic conditions could make an effective improvement in forest fire prediction. This paper presents a description and analysis of a forest fire prediction methods based on machine learning, which adopts WSN (Wireless Sensor Networks) technology and perceptron algorithms to provide a reliable and rapid detection of potential forest fire. Weather data are gathered by sensors, and then forwarded to the server, More >

  • Open Access

    ARTICLE

    Atomistic Exploration of Deformation Properties of Copper Nanowires with Pre-Existing Defects

    H.F. Zhan, Y.T. Gu1

    CMES-Computer Modeling in Engineering & Sciences, Vol.80, No.1, pp. 23-56, 2011, DOI:10.3970/cmes.2011.080.023

    Abstract Based on the embedded atom method (EAM) and molecular dynamics (MD) method, in this paper, the tensile deformation properties of Cu nanowires (NWs) with different pre-existing defects, including single surface defects, surface bi-defects and single internal defects, are systematically studied. In-depth deformation mechanisms of NWs with pre-existing defects are also explored. It is found that Young's modulus is insensitive to different pre-existing defects, but yield strength shows an obvious decrease. Defects are observed influencing greatly on NWs' tensile deformation mechanisms, and playing a role of dislocation sources. Besides of the traditional deformation process dominated by More >

  • Open Access

    ARTICLE

    Data Based Violated Behavior Analysis of Taxi Driver in Metropolis in China

    Jiao Yao1, Yiling Ni1, Jing Zhao2, Huiwei Niu1, Shanyong Liu1, Yuhui Zheng3, Jin Wang4,5,*

    CMC-Computers, Materials & Continua, Vol.60, No.3, pp. 1109-1122, 2019, DOI:10.32604/cmc.2019.06252

    Abstract Violation probability of taxi drivers in metropolis is far more than that of normal drivers because they are labor-intensive, overconfident of self-driving skill, and always searching potential customers, sometimes even picking up or dropping off passengers randomly. In this paper, four types of violated behavior of taxi drivers in metropolis were first summarized, based on which corresponding scale table was initial designed with social statistical method. Furthermore, with certain samples, relative item analysis, exploratory factor analysis, validity analysis and reliability analysis were conducted to verify validity of the initial scale table, based on which some… More >

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