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  • Open Access

    ARTICLE

    Two Routes to Produce Chitosan from Agaricus bisporus

    Abdelghani Hassainia1, Hamid Satha1,*, Boufi Sami2

    Journal of Renewable Materials, Vol.8, No.1, pp. 101-111, 2020, DOI:10.32604/jrm.2020.07725

    Abstract Two methods were used to produce chitosan by deacetylation of chitin which was extracted from Agaricus bisporus stipes. The first one gives chitosan 1 with low yield of 2.5%, degree of acetylation (DA) of 4%, molecular weight (MW) of 2.973 × 105 (g/mol). The second route produces chitosan 2 with higher yield of 41%, degree of acetylation (DA) of 17.23%, molecular weight (MW) of 2.939 × 105 (g/mol). Both chitosans were characterized by XRD, FTIR, 1 H-NMR spectroscopy nuclear magnetic resonance of proton. The molecular weight (MW) was determined by size exclusion chromatography (SEC). Thermal analysis shows that both chitosans… More >

  • Open Access

    ARTICLE

    Mesenchymal stem cells transplantation attenuates experimentally induced brain injury after neonatal hypoxia by different two routes of administrations

    Nesrine EBRAHIM1, Eman EHSAN2, Eman Abd EL GHANY2, Dina SABRY3, Ashraf SHAMAA4

    BIOCELL, Vol.43, No.1, pp. 21-28, 2019, DOI:10.32604/biocell.2019.06111

    Abstract The neonatal hypoxic–ischemic encephalopathy (HIE) is an important cause of neurological morbidity and mortality in neonates. Cell therapy is considered a promising method for treating severe neurological disorders such as this one. Stem cells have the capacity for self-renewal and differentiation into certain cell lineages. The present study was aimed to find out the most beneficial route of bone marrow-derived mesenchymal stem cells (BMSCs) administration for the attenuation of experimentally induced HIE in neonatal rats. Sixty neonatal rats were divided randomly into four groups. Group 1: control group. Group 2: rats were exposed to bilateral ligation of cephalic arteries. Group… More >

  • Open Access

    ARTICLE

    Dynamic Route Guidance Based on Model Predictive Control

    Yonghua Zhou1, Xun Yang1, Chao Mi1

    CMES-Computer Modeling in Engineering & Sciences, Vol.92, No.5, pp. 477-491, 2013, DOI:10.3970/cmes.2013.092.477

    Abstract Route selections for vehicles can be equivalent to determine the optimized operation processes for vehicles which intertwine with each other. This paper attempts to utilize the whole methodology of model predictive control to engender rational routes for vehicles, which involves three important parts, i.e. simulation prediction, rolling optimization and feedback adjustment. The route decisions are implemented over the rolling prediction horizon taking the real-time feedback information and the future intertwined operation processes into account. The driving behaviors and route selection speculations of drivers and even traffic propagation models are on-line identified and adapted for the simulation prediction in next prediction… More >

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