Grijalba PE, HE Palmucci

Phyton-International Journal of Experimental Botany, Vol.76, pp. 79-84, 2007, DOI:10.32604/phyton.2007.76.079

Abstract A new disease of Spathiphyllum wallisii plants, characterized by leaf yellowing and wilting due to root and crown rot, was observed in nurseries of the Great Buenos Aires, Argentina. A fungus was consistently isolated from diseased tissue and identified as Cylindrocladium spathiphylli, on the base of its morphological and cultural characteristics. Inoculation tests were carried out which confirmed this fungus as the causal agent of the disease. This is the first report of C. spathiphylli causing root and crown rot of S. wallisii in Buenos Aires. More >

Zúñiga-Mendoza E, LF Ceja-Torres

Phyton-International Journal of Experimental Botany, Vol.86, pp. 7-13, 2017, DOI:10.32604/phyton.2017.86.007

Abstract In vitro tests were carried out, to evaluate the antagonist capacity of a strain of Trichoderma isolated from soil in La Cienega de Chapala, Michoacán, Mexico against Sclerotium cepivorum and Sclerotium rolfsii, casual agents of onion rot, an important disease in Mexico and the rest of the world. Percentages of radial growth inhibition (PRGI) were calculated every 24 h, until a rate of antagonism was obtained according to the Bell’s scale, as well as the percentages of inhibition of the production of sclerotia and their parasitism. The PRGI was 17.4% against S. rolfsii and 22.2% against S. cepivorum after 48… More >

Yan Zou^1,2,3,*, Shaoliang Zhang¹, Yanhai Min¹

CMES-Computer Modeling in Engineering & Sciences, Vol.119, No.2, pp. 295-310, 2019, DOI:10.32604/cmes.2019.03873

Abstract The high precision population forecasting and spatial distribution modeling are very important for the theory and application of population sociology, city planning and Geo-Informatics. However, the two problems need to be solved for providing the high precision population information. One is how to improve the population forecasting precision of small area (e.g., street scale); another is how to improve the spatial resolution of urban population distribution model. To solve the two problems, some new methods are proposed in this contribution. (1) To improve the precision of small area population forecasting, a new method is developed based on the fade factor… More >

Phornwalan Nanthananon¹, Manus Seadan², Sommai Pivsa-Art³, Hiroyuki Hamada⁴, Supakij Suttiruengwong^1,*

Journal of Renewable Materials, Vol.6, No.6, pp. 573-583, 2018, DOI:10.32604/JRM.2018.00129

Abstract Poor interfacial adhesion between biobased thermoplastics and natural fibers is recognized as a major drawback for biocomposites. To be applicable for the large-scale production, a simple method to handle is of importance. This work presented poly(lactic acid) (PLA) reinforced with short-fiber and three reactive agents including anhydride and epoxide groups were selected as compatibilizers. Biocomposites were prepared by one-step melt-mixing methods. The influence of reactive agents on mechanical, dynamic mechanical properties and morphology of PLA biocomposites were investigated. Tensile strength and storage modulus of PLA biocomposites incorporated with epoxide-based reactive agent was increased 13.9% and 37.4% compared to non-compatibilized PLA… More >

Hilary Ureña-Saborío^1*, Sergio Madrigal-Carballo¹, Jorge Sandoval², José R. Vega-Baudrit³, Alejandro Rodríguez-Morales²

Journal of Renewable Materials, Vol.5, No.3-4, pp. 290-299, 2017, DOI:10.7569/JRM.2017.634119

Abstract Currently there is a trend towards reducing the use of agrochemicals in developing countries. However, they are still being applied intensively in tropical countries. Thus, there is a trend towards developing new products based on natural chemicals for pest control, leading to second-generation pesticides incorporating nano- and biotechnologies. Costa Rica is one of the largest producers of bananas in the world. One of the most important pests of banana and plantain crops is the burrowing nematode, Radopholus similis (Cobb) Thorne. Highly toxic chemical compounds have traditionally been used to control this specific pest in banana plants, which can have dangerous… More >

Karolina Villalobos¹, Hider Rojas¹, Rodolfo González-Paz², Daniel Brenes Granados², Jeimmy González-Masís², José Vega Baudrit^1,3, Yendry Regina Corrales-Ureña^1*

Journal of Renewable Materials, Vol.5, No.3-4, pp. 189-198, 2017, DOI:10.7569/JRM.2017.634109

Abstract Because starch is a biodegradable polymer with low cost and wide availability it is an attractive material for producing edible films for fruits. Films produced with pure starch have the disadvantage of being fragile. To overcome this issue, propolis nanoparticles were used as a novel plasticizer. Mechanical, thermal and morphological properties of the films containing 0.5, 1 and 3 wt.% propolis nanoparticles were evaluated. The best performance was obtained using 0.5 wt.% propolis, increasing the Young’s modulus and decreasing the glass transition temperature (Tg), showing their plasticizing effect. The results of scanning electron microscopy (SEM) and atomic force microscopy (AFM)… More >

Jose Luis Orellana, Michael Mauhar, Christopher L. Kitchens^*

Journal of Renewable Materials, Vol.4, No.5, pp. 340-350, 2016, DOI:10.7569/JRM.2016.634126

Abstract Polylactic acid (PLA) is one of the most widely used biodegradable polymers due to the ability to synthesize it economically at industrial scale and its favorable properties for many consumer products. However, the rigid nature of PLA is not desirable for specific applications, requiring the incorporation of effective bioderived additives in order to enhance the PLA toughness and broaden applications. In this work, PLA was modified by graft polymerization of polyacrylic acid (PLA-g-PAA) to increase the hydrophilicity to promote compatibilization of cellulose nanocrystals (CNCs) or high molecular polyethylene glycol (PEG). CNCs were found to act as a nucleating agent for… More >

Estela Krause Sammartino^1,2,3†, María Marta Reboredo⁴, Mirta I. Aranguren^*,4

Journal of Renewable Materials, Vol.4, No.2, pp. 101-112, 2016, DOI:10.7569/JRM.2014.634144

Abstract Composites made from polypropylene (PP) and local South American fibers traditionally used in yarnderived craftsmanships, Caranday Palm, were studied regarding the effect of fiber addition, concentration and characteristics of the coupling agent (molecular weight and percentage of grafted maleic anhydride), as well as type of processing. A laboratory-scale intensive mixing followed by compression, and pilot plant twin extrusion followed by injection, were the two processes investigated. The use of the first one allowed the selection of processable formulations with high fiber concentration and a percentage of coupling agent below the surface fiber saturation. In fact, it was found that there… More >

F. S. Tabatabaei^∗, M. Jazayeri^†, P. Ghahari^‡, N. Haghighipour^§

Molecular & Cellular Biomechanics, Vol.11, No.3, pp. 209-220, 2014, DOI:10.3970/mcb.2014.011.209

Abstract During orthodontic treatments, applied mechanical forces create strain and result in tooth movement through the alveolar bone. This response to mechanical strain is a fundamental biological reaction. The present study evaluated the effect of equiaxial strain within the range of orthodontic forces on the osteogenic differentiation of human dental pulp stem cells (hDPSCs). Following isolation and culture of hDPSCs, 3rd passage cells were transferred on a silicone membrane covered with collagen. Cell adhesion to the membrane was evaluated under scanning electron microscope (SEM). Cells were divided into three groups: the first group was placed in a conventional culture medium, transferred… More >

Jin Yang¹, Tao Li¹, Gang Liang^1,*, Wenbo He², Yue Zhao³

CMES-Computer Modeling in Engineering & Sciences, Vol.120, No.1, pp. 1-23, 2019, DOI:10.32604/cmes.2019.04727

Abstract Deep Learning presents a critical capability to be geared into environments being constantly changed and ongoing learning dynamic, which is especially relevant in Network Intrusion Detection. In this paper, as enlightened by the theory of Deep Learning Neural Networks, Hierarchy Distributed-Agents Model for Network Risk Evaluation, a newly developed model, is proposed. The architecture taken on by the distributed-agents model are given, as well as the approach of analyzing network intrusion detection using Deep Learning, the mechanism of sharing hyper-parameters to improve the efficiency of learning is presented, and the hierarchical evaluative framework for Network Risk Evaluation of the proposed… More >