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  • Open Access

    ARTICLE

    Development and Characterization of the Midrib of Coconut Palm Leaf Reinforced Polyester Composite

    Neeraj Dubey1, Geeta Agnihotri1

    CMC-Computers, Materials & Continua, Vol.45, No.1, pp. 39-56, 2015, DOI:10.3970/cmc.2015.045.039

    Abstract In this paper, midrib of coconut palm leaves (MCL) was investigated for the purpose of development of natural fiber reinforced polymer matrix composites. A new natural fiber composite as MCL/polyester is developed by the hand lay-up method, and the material and mechanical properties of the fiber, matrix and composite materials were evaluated. The effect of fiber content on the tensile, flexural, impact, compressive strength and heat distortion temperature (HDT) was investigated. It was found that the MCL fiber had the maximum tensile strength, tensile modulus flexural strength, flexural modulus and Izod impact strength of 177.5MPa, More >

  • Open Access

    ARTICLE

    Storage lipids and proteins of Euterpe edulis seeds

    VÍCTOR PANZA1,2, DARIO PIGHIN3, VERÓNICA LÁINEZ2, RICARDO J. POLLERO4, SARA MALDONADO1,2,*

    BIOCELL, Vol.33, No.2, pp. 99-106, 2009, DOI:10.32604/biocell.2009.33.099

    Abstract Comparative studies on fatty acid and protein composition of the endosperm and embryo of palmito (Euterpe edulis Martius) were conducted using gas-liquid chromatography and sodium dodecyl sulfate–polyacrylamide gel electrophoresis. On a dry weight basis, the embryo contained extremely lower amounts of lipids and proteins than did the endosperm, which was associated with the scarce lipid and protein bodies previously reported in axis and cotyledon. The fatty acid composition also exhibited differences between both tissues: (I) the fatty acid diversity was greater in embryo than in endosperm; (II) embryo and endosperm contained predominantly linoleic, palmitic, oleic and More >

  • Open Access

    ARTICLE

    Methods to Automatically Build Point Distribution Models for Objects like Hand Palms and Faces Represented in Images

    Maria João M. Vasconcelos1, João Manuel R. S. Tavares1

    CMES-Computer Modeling in Engineering & Sciences, Vol.36, No.3, pp. 213-242, 2008, DOI:10.3970/cmes.2008.036.213

    Abstract In this work we developed methods to automatically extract significant points of objects like hand palms and faces represented in images that can be used to build Point Distribution Models automatically. These models are further used to segment the modelled objects in new images, through the use of Active Shape Models or Active Appearance Models. These models showed to be efficient in the segmentation of objects, but had as drawback the fact that the labelling of the landmark points was usually manually made and consequently time consuming. Thus, in this paper we describe some methods More >

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