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  1. 81
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    Predictors of in-hospital mortality in patients with non-variceal upper gastrointestinal bleeding by González González, José Alberto, Vázquez Elizondo, Genaro, García Compeán, Diego, Obed Gaytán Torres, Juan, Flores Rendón, Ángel Ricardo, Jáquez Quintana, Joel Omar, Garza Galindo, Aldo Azael, Cárdenas Sandoval, Martha Graciela, Maldonado Garza, Héctor Jesús

    Published 2011
    “…Patients: in a period between 2000 and 2009, all patients with NVUGB admitted to our hospital were studied. Demographical and clinical characteristics, endoscopic findings and laboratory tests were evaluated. χ² and Mann-Whitney U analyses were performed for comparisons, and binary logistic regression was employed to identify independent predictors of in-hospital mortality. …”
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    Article
  3. 83

    Artificial neural network modeling of phenol adsorption onto barley husks activated carbon in an airlift reactor by Loredo Cancino, Margarita

    Published 2013
    “…Experimental data confirmed that the breakthrough curves were dependent on BHAC dosage, phenol initial concentration, air flow rate, and influent flow rate. …”
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    Tesis
  4. 84

    Artificial neural network modeling of phenol adsorption onto barley husks activated carbon in an airlift reactor by Loredo Cancino, Margarita

    Published 2013
    “…Experimental data confirmed that the breakthrough curves were dependent on BHAC dosage, phenol initial concentration, air flow rate, and influent flow rate. …”
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    Tesis
  5. 85

    Motivos de los estudiantes de la zona centro de México para elegir la licenciatura en nutrición by Coronel Núñez, Samuel, Pineda Sales, Isabel, Díaz García, Rafael, Reyes Méndez, Jorge Joel

    Published 2019
    “…The reasons were that were pointed out more frequently, both by the students who started the degree and by those who were close to concluding it were: a) Interest in working in the clinical area, b) Vocational orientation, c) Because in their family they had a problem of health related to nutrition. …”
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    Article
  6. 86

    Artificial neural network modeling of phenol adsorption onto barley husks activated carbon in an airlift reactor by Margarita Loredo-Cancino

    Published 2013
    “…Experimental data confirmed that the breakthrough curves were dependent on BHAC dosage, phenol initial concentration, air flow rate, and influent flow rate. …”
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    info:eu-repo/semantics/doctoralThesis
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    Optimization in preparation process of V₂O₅ using symbolic regression α-β. by González Campos, Guillermo

    Published 2019
    “…Responses surfaces were made using the generated SR model and were compared showing different perspective in order to optimize the quantity of materials used for the preparation process of V2O5.…”
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    Tesis
  9. 89

    Photon Shielding Features of Quarry Tuff by Malvagi, F., Vega Carrillo, Héctor René, Hernández Adame, Luis, Guzmán García, Karen Arlete, Ortiz Hernández, Arturo Agustín, Rodríguez Rodríguez, José Antonio, Juárez Alvarado, César Antonio, Malouch, F., Diop, C. M’. B., Miss, J., Trama, J. C.

    Published 2017
    “…Cantera is a quarry tuff widely used in the building industry; in this work the shielding features of cantera were determined. The shielding characteristics were calculated using XCOM and MCNP5 codes for 0.03, 0.07, 0.1, 0.3, 0.662, 1, 2, and 3 MeV photons. …”
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    Article
  10. 90

    Optimization in preparation process of V₂O₅ using symbolic regression α-β. by González Campos, Guillermo

    Published 2019
    “…Responses surfaces were made using the generated SR model and were compared showing different perspective in order to optimize the quantity of materials used for the preparation process of V2O5.…”
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    Tesis
  11. 91
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  15. 95

    Electrochemical Evaluation of a Stainless Steel as Reinforcement in Sustainable Concrete Exposed to Chlorides by Santiago Hurtado, Griselda

    Published 2016
    “…For this research three concrete mixtures were produced, the first concrete was made with 100 % cement CPC 30R, the second mixture was considered sustainable concrete because using 80 % of cement CPC 30R and 20 % of silica fume and the third mixture was elaborated with 80 % of cement CPC 30R and 20 % of fly ash, these mixtures were designed according to the method ACI 211.1, in the specimens were embedded bars of AISI 304 stainless steel and AISI 1018 steel, the specimens were exposed in a solution at 3.5 % of NaCl, simulating a marine environment, for to evaluate the corrosion resistance were used electrochemical techniques of Half-Cell Potential, standard ASTM C-876-09 and the Linear Polarization Resistance, standard ASTM G59, results Ecorr and Icorr after 180 days of exposure show that, the best performance was presented concrete specimens produced with 20 % silica fume and reinforced with AISI 304 stainless steel, with corrosion potential (Ecorr) indicating a 10 % probability of corrosion and Icorr values that indicate a passivity level of corrosion.…”
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  18. 98

    Spatial distribution of the larval indices of Aedes aegypti in Guadalupe, Nuevo León, Mexico, with circular distribution analysis by Mercado Hernández, Roberto, Fernández Salas, Ildefonso, Villarreal Martínez, Homero Fernando

    Published 2003
    “…Arguments corresponding to the mean angle of house (260 degrees), recipient (265 degrees), and Breteau (247 degrees) indices were 0.2321, 0.2331, and 0.2225, respectively. In addition, arguments for the mean angle of herbaceous (277 degrees), shrub (318 degrees), and arboreal (333 degrees) vegetation were 0.2589, 0.1984, and 0.2367, respectively, and the 3 were located in the 4th quadrant. …”
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    Article
  19. 99

    Natural variability of essential oil and antioxidants in the medicinal plant Turnera diffusa by Urbizu González, Ana Lucía, Castillo Ruiz, Octelina, Martínez Ávila, Guillermo Cristian Guadalupe, Torres Castillo, Jorge Ariel

    Published 2017
    “…Polyphenol contents, antioxidant activities using ABTS and ferric reducing antioxidant power (FRAP) methods also were evaluated. Results: A total of 21 compounds were identified in the essential oils; nevertheless, only Eucalyptol, 1,4-Methanocycloocta[d]pyridazine, 1,4,4a,5,6,9,10,10a-octahydro-11,11- dimethyl-, (1`a,4`a,4a`a,10a`a) y Ethanone, 1-(1,3-dimethyl-3-cyclohexen-1-yl) were detected in the three sites. …”
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    Article
  20. 100

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