60 research outputs found

    Influence of MWCNT/surfactant dispersions on the mechanical properties of Portland cement pastes

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    This work studies the reinforcing effect of Multi Walled Carbon Nanotubes (MWCNT) on cement pastes. A 0.35% solid concentration of MWCNT in powder was dispersed in deionized water with sodium dodecyl sulfate (cationic surfactant), cetylpyridinium chloride (anionic surfactant) and triton X-100 (amphoteric surfactant) using an ultrasonic tip processor. Three concentrations of each surfactant (1mM, 10mM and 100mM) were tested, and all samples were sonicated until an adequate dispersion degree was obtained. Cement pastes with additions of carbon nanotubes of 0.15% by mass of cement were produced in two steps; first the dispersions of MWCNT were combined with the mixing water using an ultrasonic tip processor to guarantee homogeneity, and then cement was added and mixed until a homogeneous paste was obtained. Direct tensile strength, apparent density and open porosity of the pastes were measured after 7 days of curing. It was found that the MWCNT/surfactants dispersions decrease the mechanical properties of the cement based matrix due to an increased porosity caused by the presence of surfactants. © Published under licence by IOP Publishing Ltd

    Categorizing coefficients of variation in sunflower trials.

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    This study was carried out to categorize coefficients of variation (CV?s) associated with important traits of routine use in the sunflower breeding programs. Separate categories were obtained for the August/September and February/March sowings. Data were used from the intermediate and final sunflower experiments carried out by Embrapa Soybean and other collaborator institutions of the Network of Official Sunflower Trials. Taking into account the mean and the standard deviation of the CV?s obtained from the analyses of variance of the experiments, they were fitted into the low, medium, high and very high categories. An additional classification was made using the median and pseudo-sigma, in place of the mean and standard deviation, respectively. In this study it was ascertained that the CV?s categorization depended on the trait studied. Sowing date effects were more pronounced for seed and oil yield and plant height. For all assessed traits in February/March, the methodologies adopted were similar (regardless of the CV?s distribution) and satisfactory to assess the experimental accuracy of the trials. In the August/September trials there was good agreement between the results of the methodologies adopted and that of Gomes (1985) for seed and oil yield. For the other traits, the former methodologies were shown to be more adequate. The proposed CV?s categorizations for the sunflower traits use as maximum acceptable limits the values of 23.5% (August/September sowing) and 31.5% (February/ March sowing) for seed and oil yield, 6.0% for oil content (August/September and February/March) and plant height (August/September), 9.5% for plant height (February/March) and 4.5% for flowering and physiological maturity (August/September and February/March

    VISTA Variables in the <i>Vía Láctea</i> (VVV): Halfway Status and Results

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    The VISTA Variables in the Vía Láctea (VVV) survey is one of six near-infrared ESO public surveys, and is now in its fourth year of observing. Although far from being complete, the VVV survey has already delivered many results, some directly connected to the intended science goals (detection of variable stars, microlensing events, new star clusters), others concerning more exotic objects, e.g., novae. Now, at the end of the fourth observing period, and comprising roughly 50% of the proposed observations, the status of the survey, as well some of results based on the VVV data, are presented.Facultad de Ciencias Astronómicas y Geofísica

    Reconocimiento de diásporas de Malveae (Malvaceae) en muestras de suelos de zonas serranas (Sierras Chicas, Córdoba, Argentina) afectadas por incendios

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    En el marco de un estudio de regeneración post-incendio de la vegetación autóctona en campos de sierra ubicados en proximidades de Falda del Carmen (Sierras Chicas, Córdoba, Argentina), se ha analizado el banco de semillas aéreo para facilitar la identificación de las especies presentes en las muestras de suelo. Entre las familias con mayor diversidad y abundancia en la zona evaluada, las Malvaceae se encuentran representadas por 14 especies pertenecientes a los géneros: Abutilon Mill., Gaya Kunth., Krapovickasia Fryxell, Malvastrum A. Gray, Pavonia Cav., Pseudabutilon R. E. Fr., Sida L. y Sphaeralcea A. St.-Hil.. Se presentan dos claves dicotómicas para diferenciar las especies utilizando caracteres morfológicos de las diásporas, mericarpos y semillas respectivamente, acompañadas por las descripciones y las ilustraciones de las estructuras consideradas. Se tienen en cuenta aspectos morfológicos de los mericarpos (forma, tamaño, superficie de las caras dorsal y laterales, dehiscencia, aristas, pubescencia, divisiones internas, número de semillas por mericarpo) y de las semillas (forma, tamaño, superficie, pubescencia, hilo)

    Herbal remedy knowledge acquisition and transmission among the Yucatec Maya in Tabi, Mexico: a cross-sectional study

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    BACKGROUND: Ethnobotanical knowledge continues to be important for treating illness in many rural communities, despite access to health care clinics and pharmaceuticals. However, access to health care clinics and other modern services can have an impact on the distribution of medical ethnobotanical knowledge. Many factors have been shown to be associated with distributions in this type of knowledge. The goal of the sub-analyses reported in this paper was to better understand the relationship between herbal remedy knowledge, and two such factors, age and social network position, among the Yucatec Maya in Tabi, Yucatan. METHODS: The sample consisted of 116 Yucatec Maya adults. Cultural consensus analysis was used to measure variation in herbal remedy knowledge using competence scores, which is a measure of participant agreement within a domain. Social network analysis was used to measure individual position within a network using in-degree scores, based on the number of people who asked an individual about herbal remedies. Surveys were used to capture relevant personal attributes, including age. RESULTS: Analysis revealed a significant positive correlation between age and the herbal medicine competence score for individuals 45 and under, and no relationship for individuals over 45. There was an insignificant relationship between in-degree and competence scores for individuals 50 and under and a significant positive correlation for those over 50. CONCLUSIONS: There are two possible mechanisms that could account for the differences between cohorts: 1) knowledge accumulation over time; and/or 2) the stunting of knowledge acquisition through delayed acquisition, competing treatment options, and changes in values. Primary ethnographic evidence suggests that both mechanisms may be at play in Tabi. Future studies using longitudinal or cross-site comparisons are necessary to determine the whether and how the second mechanism is influencing the different cohorts.This item is part of the UA Faculty Publications collection. For more information this item or other items in the UA Campus Repository, contact the University of Arizona Libraries at [email protected]

    VISTA Variables in the Via Lactea (VVV): The public ESO near-IR variability survey of the Milky Way

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    We describe the public ESO near-IR variability survey (VVV) scanning the Milky Way bulge and an adjacent section of the mid-plane where star formation activity is high. The survey will take 1929 h of observations with the 4-m VISTA telescope during 5 years (2010–2014), covering ∼109 point sources across an area of 520 deg2, including 33 known globular clusters and ∼350 open clusters. The final product will be a deep near-IR atlas in five passbands (0.9–2.5 μm) and a catalogue of more than 106 variable point sources. Unlike single-epoch surveys that, in most cases, only produce 2-D maps, the VVV variable star survey will enable the construction of a 3-D map of the surveyed region using well-understood distance indicators such as RR Lyrae stars, and Cepheids. It will yield important information on the ages of the populations. The observations will be combined with data from MACHO, OGLE, EROS, VST, Spitzer, HST, Chandra, INTEGRAL, WISE, Fermi LAT, XMM-Newton, GAIA and ALMA for a complete understanding of the variable sources in the inner Milky Way. This public survey will provide data available to the whole community and therefore will enable further studies of the history of the Milky Way, its globular cluster evolution, and the population census of the Galactic Bulge and center, as well as the investigations of the star forming regions in the disk. The combined variable star catalogues will have important implications for theoretical investigations of pulsation properties of stars.Facultad de Ciencias Astronómicas y Geofísica

    Population and Environmental Correlates of Maize Yields in Mesoamerica: a Test of Boserup’s Hypothesis in the Milpa

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    Using a sample of 40 sources reporting milpa and mucuna-intercropped maize yields in Mesoamerica, we test Boserup’s (1965) prediction that fallow is reduced as a result of growing population density. We further examine direct and indirect effects of population density on yield. We find only mixed support for Boserupian intensification. Fallow periods decrease slightly with increasing population density in this sample, but the relationship is weak. Controlling for other covariates, fallow-unadjusted maize yields first rise then fall with population density. Fallow-adjusted maize yields peak at 390 kg/ha/yr for low population densities (8 persons / km2) and decline to around 280 kg/ha/yr for the highest population densities observed in our dataset. Fallow practices do not appear to mediate the relationship between population density and yield. The multi-level modeling methods we adopt allow for data clustering, accurate estimates of group-level variation, and they generate conditional predictions, all features essential to the comparative study of prehistoric and contemporary agricultural yields
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