1,539 research outputs found

    Síntomas de depresión, ansiedad y estrés post-traumático en adolescentes siete meses después del terremoto del 27 de febrero de 2010 en Chile

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    Reprint Address: Quintana, GR (reprint author), Univ Talca, Fac Psicol, Casilla 747, Talca, Chile.On February 27th of 2010, Chile experienced one of the strongest earthquakes in recorded history, causing serious consequences on people's mental health. The goal of the present study was to provide a preliminary assessment of the impact of this phenomenon in adolescent's mental health. A total of 304 adolescents were assessed on depression, anxiety and post-traumatic stress disorder. The results indicate an increase in the incidence of all the assessed disorders, confirming that females are a risk population who reached significantly higher scores than males on all scales. The study further demonstrated a close relationship of co-morbidity among the symptoms of the assessed disorders

    Development of a computer program to simulate the predictions of the replaced elements model of Pavlovian conditioning

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    Vogel, E.H. Universidad de Talca, Escuela de Psicología, Casilla N° 747, Talca, Chile. Disponible http://www.psicothema.com/pdf/3392.pdfPese a la aparente simpleza del condicionamiento pavloviano, la investigación acerca de sus mecanismos ha despertado considerable debate, como es el caso de la disputa acerca de si los estímulos que se asocian son codificados en forma >(un estímulo compuesto es equivalente a la suma de sus componentes) o >(un estímulo compuesto es un ejemplar único). Esta controversia es evidente en la abundante investigación sobre las predicciones contrastantes de los modelos elementalistas y configuracionales. Recientemente, han surgido soluciones mixtas, con las ventajas de ambos enfoques, pero difíciles de evaluar dada su complejidad. Este artículo presenta un programa computacional para ejecutar simulaciones de un modelo mixto (replaced elements model o REM). Se incluyen instrucciones y ejemplos para utilizar el simulador con fines investigativos y educacionales

    PIN31 Burden of Disease and Economic Impact of Dengue and Severe Dengue in Colombia: 2011

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    FTIR-ATR Spectroscopy Combined with Multivariate Regression Modeling as a Preliminary Approach for Carotenoids Determination in Cucurbita spp

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    Quantitative analysis of carotenoids has been extensively reported using UV\u2010Vis spectrophotometry and chromatography, instrumental techniques that require complex extraction protocols with organic solvents. Fourier transform infrared spectroscopy (FTIR) is a potential alternative for simplifying the analysis of food constituents. In this work, the application of FTIR with attenuated total reflectance (ATR) was evaluated for the determination of total carotenoid content (TCC) in Cucurbita spp. samples. Sixty\u2010three samples, belonging to different cultivars of butternut squash (C. moschata) and pumpkin (C. maxima), were selected and analyzed with FTIR\u2010 ATR (attenuated total reflectance). Three different preparation protocols for samples were followed: homogenization (A), freeze\u2010drying (B), and solvent extraction (C). The recorded spectra were used to develop regression models by Partial Least Squares (PLS), using data from TCC, determined by UV\u2010Vis spectrophotometry. The PLS regression model obtained with the FTIR data from the freeze\u2010dried samples, using the spectral range 920\u20133000 cm 121, had the best figures of merit (R2CAL of 0.95, R2PRED of 0.93 and RPD of 3.78), being reliable for future application in agriculture. This approach for carotenoid determination in pumpkin and squash avoids the use of organic solvents. Moreover, these results are a rationale for further exploring this technique for the assessment of specific carotenoids in food matrices

    Core Mass Estimates in Strong Lensing Galaxy Clusters: A Comparison between Masses Obtained from Detailed Lens Models, Single-halo Lens Models, and Einstein Radii

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    The core mass of galaxy clusters is both an important anchor of the radial mass distribution profile and a probe of structure formation. With thousands of strong lensing galaxy clusters being discovered by current and upcoming surveys, timely, efficient, and accurate core mass estimates are needed. We assess the results of two efficient methods to estimate the core mass of strong lensing clusters: the mass enclosed by the Einstein radius (M(<θE), where θE is approximated from arc positions, and a single-halo lens model (MSHM), compared with measurements from publicly available detailed lens models (MDLM) of the same clusters. We use data from the Sloan Giant Arc Survey, the Reionization Lensing Cluster Survey, the Hubble Frontier Fields, and the Cluster Lensing and Supernova Survey with Hubble. We find a scatter of 18.1% (8.2%) with a bias of −7.1% (1.0%) between Mcorr(<θarcs){M}_{\mathrm{corr}}\left(\lt {\theta }_{\mathrm{arcs}}\right) (MSHM) and MDLM. Last, we compare the statistical uncertainties measured in this work to those from simulations. This work demonstrates the successful application of these methods to observational data. As the effort to efficiently model the mass distribution of strong lensing galaxy clusters continues, we need fast, reliable methods to advance the field

    Electric charge quantization and the muon anomalous magnetic moment

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    We investigate some proposals to solve the electric charge quantization puzzle, which simultaneously explain the recent measured deviation on the muon anomalous magnetic moment. For this we assess extensions of the Electro-Weak Standard Model spanning modifications on the scalar sector only. It is interesting to verify that one can have modest extensions which easily account for the solution for both problems.Comment: 20 pages, 1 figures, needs macro axodraw.st

    Subtle alterations in cerebrovascular reactivity in mild cognitive impairment detected by graph theoretical analysis and not by the standard approach.

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    There is growing support that cerebrovascular reactivity (CVR) in response to a vasodilatory challenge, also defined as the cerebrovascular reserve, is reduced in Alzheimer's disease dementia. However, this is less clear in patients with mild cognitive impairment (MCI). The current standard analysis may not reflect subtle abnormalities in CVR. In this study, we aimed to investigate vasodilatory-induced changes in the topology of the cerebral blood flow correlation (CBF javax.xml.bind.JAXBElement@6894b36 ) network to study possible network-related CVR abnormalities in MCI. For this purpose, four CBF javax.xml.bind.JAXBElement@389286d6 networks were constructed: two using CBF SPECT data at baseline and under the vasodilatory challenge of acetazolamide (ACZ), obtained from a group of 26 MCI patients; and two equivalent networks from a group of 26 matched cognitively normal controls. The mean strength of association ( javax.xml.bind.JAXBElement@58a7138c ) and clustering coefficient ( javax.xml.bind.JAXBElement@5f56d60d ) were used to evaluate ACZ-induced changes on the topology of CBF javax.xml.bind.JAXBElement@13cae62a networks. We found that cognitively normal adults and MCI patients show different patterns of javax.xml.bind.JAXBElement@3fc266b3 and javax.xml.bind.JAXBElement@5f9929b4 changes. The observed differences included the medial prefrontal cortices and inferior parietal lobe, which represent areas involved in MCI's cognitive dysfunction. In contrast, no substantial differences were detected by standard CVR analysis. These results suggest that graph theoretical analysis of ACZ-induced changes in the topology of the CBF javax.xml.bind.JAXBElement@36167af4 networks allows the identification of subtle network-related CVR alterations in MCI, which couldn't be detected by the standard approach

    Naturally light right-handed neutrinos in a 3-3-1 Model

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    In this work we show that light right-handed neutrinos, with mass in the sub-eV scale, is a natural outcome in a 3-3-1 model. By considering effective dimension five operators, the model predicts three light right-handed neutrinos, weakly mixed with the left-handed ones. We show also that the model is able to explain the LSND experiment and still be in agreement with solar and atmospheric data for neutrino oscillation.Comment: About 5 pages, no-figure
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