Un argumento sobre su excepción: acerca del travestismo de Eva Perón en la pieza teatral de Copi

The purpose of this work is to discuss the character of performance and staging of Eva Perón's figure as it is presented in two texts of the Argentinian literature: Copi's play Eva Perón (1970) and Jorge Luis Borges' short story “El simulacro” (1960). The frequent appearance of a cross-dressed actor as the main character of the play is not based on the assumed fact that this would be part of the so called “anti-Peronist mythologization”, as it had usually been done before, but on the importance of crossdressed characters in Copi's work, as the author intends to demonstrate in an extensive approach of his narrative work

Resettlement of the Polish Population from the Territory of Volyn Region of Poland in 1944−1946 Years

У статті розглянуто процес масового організованого переселення польського населення з території Волинської області в Польщу в 1944−1946 рр., здійснений змішаною польсько-українською комісією згідно з укладеною 9 вересня 1944 р. угодою між урядом УРСР і Польським комітетом національного визволення. This article discusses the process of mass organized resettlement of the Polish population from the territory of Volyn region of Poland in 1944−1946 years. It was held a mixed Polish Ukrainian Commission in accordance with the laid September 9, 1944 Agreement between the Government of the USSR and the Polish Committee of National Liberation

Mistakes and Lessons of World War II: Pyrrhic Victory of the Soviet-Finnish Military Campaign in 1939−1940

Автор, використовуючи матеріали опублікованих джерел і наукової літератури, аргументує недоречність, помилковість і шкідливість, перш за все для СРСР, радянсько-фінської війни. The author based on the published sources and scientific literature argues the inexpediency, impropriety and damage of Soviet-Finnish War, first of all for USSR

Los beneficios de impuestos nacionales y provinciales y su impacto en PyMEs mendocinas en los últimos cinco años

La presión impositiva ha ido aumentando sin tregua durante los últimos años. Esto es consecuencia de déficits fiscales importantes que requieren para financiarse una mayor tributación. Esto trae aparejado impuestos que no cumplen con los requisitos que debieran, como equidad, proporcionalidad, no confiscatoriedad, tasas notoriamente altas y la creación de tributos de emergencia que, luego, perduran en el tiempo de forma indefinida. Todo esto afecta de forma significativa a la economía de las PYMES, que tienen mayores dificultades que las grandes empresas para enfrentar estas adversidades, y como consecuencia también se ve perjudicada toda la economía (especialmente en el caso de Mendoza, donde mas del 99% de las empresas son mipymes). Esto se traduce en una mayor evasión y una mayor irregularidad impositiva: empleo en negro, transacciones sin el respectivo respaldo documental, declaraciones juradas apócrifas, etc. Como consecuencia de todo lo expresado anteriormente, el trabajo apunta a estudiar la relación entre el elemento impositivo y las pequeñas y medianas empresas de nuestra provincia.Fil: Pron, Juan José. Universidad Nacional de Cuyo. Facultad de Ciencias Económicas.Fil: Krvina, Fernando. Universidad Nacional de Cuyo. Facultad de Ciencias Económicas.Fil: Martelli, Gimena. Universidad Nacional de Cuyo. Facultad de Ciencias Económicas

Análisis del desempeño universitario utilizando modelos para variables enteras

El presente trabajo investiga el rendimiento académico de los estudiantes universitarios. Se utilizan modelos para variables enteras para analizar el desempeño de la cohorte de ingresantes 2001 de la Facultad de Ciencias Económicas de la UNLP; los resultados obtenidos indican que el modelo Binomial Negativo inflado en cero (ZINB) es el más apropiado. El mismo permite diferenciar entre aquellos factores personales y socioeconómicos que influyen sobre la probabilidad de pertenecer al grupo que no aprueba materias y aquellos factores que influyen sobre el número esperado de la variable materias aprobadas.This paper examines the academic performance of students at university level. Different count variable models are considered to evaluate academic achievement of the cohort of students who started at Faculty of Economics of La Plata National University in 2001; results suggest that Zero Inflated Negative Binomial model fits better than other. This model allows analyzing in a separate way those personal and socioeconomic factors which have an influence on the probability of belonging to the non-passing group and those factors which have an influence on the expected value of passing a higher number of subjects.Facultad de Ciencias Económica

Comprehensive analysis of synthetic learning applied to neonatal brain MRI segmentation

Brain segmentation from neonatal MRI images is a very challenging task due to large changes in the shape of cerebral structures and variations in signal intensities reflecting the gestational process. In this context, there is a clear need for segmentation techniques that are robust to variations in image contrast and to the spatial configuration of anatomical structures. In this work, we evaluate the potential of synthetic learning, a contrast-independent model trained using synthetic images generated from the ground truth labels of very few subjects.We base our experiments on the dataset released by the developmental Human Connectome Project, for which high-quality T1- and T2-weighted images are available for more than 700 babies aged between 26 and 45 weeks post-conception. First, we confirm the impressive performance of a standard Unet trained on a few T2-weighted volumes, but also confirm that such models learn intensity-related features specific to the training domain. We then evaluate the synthetic learning approach and confirm its robustness to variations in image contrast by reporting the capacity of such a model to segment both T1- and T2-weighted images from the same individuals. However, we observe a clear influence of the age of the baby on the predictions. We improve the performance of this model by enriching the synthetic training set with realistic motion artifacts and over-segmentation of the white matter. Based on extensive visual assessment, we argue that the better performance of the model trained on real T2w data may be due to systematic errors in the ground truth. We propose an original experiment combining two definitions of the ground truth allowing us to show that learning from real data will reproduce any systematic bias from the training set, while synthetic models can avoid this limitation. Overall, our experiments confirm that synthetic learning is an effective solution for segmenting neonatal brain MRI. Our adapted synthetic learning approach combines key features that will be instrumental for large multi-site studies and clinical applications

Senderos que se bifurcan: distribución del ingreso, estructura social y segregación residencial en la ciudad de Santa Fe en el período 2003-2015

La desigualdad social tiene múltiples dimensiones que se entrelazan y pueden evolucionar en forma acompasada o no. En el presente trabajo analizaremos tres de ellas, la evolución de la distribución del ingreso, las variaciones de la estructura social y la segregación residencial en la ciudad de Santa Fe en el período 2003-2015. Las perspectivas diferenciadas que ofrecen disciplinas como la Economía y la Sociología pueden servir para complejizar nuestra mirada sobre la situación. Las fuentes de datos utilizadas son la Encuesta Permanente de Hogares y el Panel de Hogares del Observatorio Social de la Universidad Nacional del Litoral.Facultad de Ciencias Económica

Thermal conductivity profile determination in proton-irradiated ZrC by Spatial and frequency scanning thermal wave methods

Using complementary thermal wave methods, the irradiation damaged region of zirconium carbide (ZrC) is characterized by quantifiably profiling the thermophysical property degradation. The ZrC sample was irradiated by a 2.6 MeV proton beam at 600 °C to a dose of 1.75 displacements per atom. Spatial scanning techniques including scanning thermal microscopy (SThM), lock-in infrared thermography (lock-in IRT), and photothermal radiometry (PTR) were used to directly map the in-depth profile of thermal conductivity on a cross section of the ZrC sample. The advantages and limitations of each system are discussed and compared, finding consistent results from all techniques. SThM provides the best resolution finding a very uniform thermal conductivity envelope in the damaged region measuring ∼52 ± 2 μm deep. Frequency-based scanning PTR provides quantification of the thermal parameters of the sample using the SThM measured profile to provide validation of a heating model. Measured irradiated and virgin thermal conductivities are found to be 11.9 ± 0.5 W m−1 K−1 and 26.7 ±1 W m−1 K−1, respectively. A thermal resistance evidenced in the frequency spectra of the PTR results was calculated to be (1.58 ± 0.1) × 10−6 m2 K W−1. The measured thermal conductivity values compare well with the thermal conductivity extracted from the SThM calibrated signal and the spatially scanned PTR. Combined spatial and frequency scanning techniques are shown to provide a valuable, complementary combination for thermal property characterization of proton-irradiated ZrC. Such methodology could be useful for other studies of ion-irradiated materials

The effects of uterine artery embolisation and surgical treatment on ovarian function in women with uterine fibroids

Objective The aim of this study was to evaluate and compare both ovarian function and menstrual characteristics following uterine artery embolisation (UAE) and surgery. Design Subgroup of women from a randomised controlled trial. Setting Gynaecology and radiology units in Scotland, UK. Population Ninety-six women from the randomised controlled trial comparing embolisation with surgery as a treatment for fibroids (REST), which recruited 157 patients (106 UAE; 51 surgery). Methods Seventy-three women undergoing UAE and 23 women undergoing surgery (with ovarian conservation) had serum follicle-stimulating hormone (FSH) measurements taken on day 3 of the menstrual cycle prior to treatment, and at 6 and 12 months post-treatment. Data on menstrual cycle characteristics was also collected. Main outcome measures Ovarian failure, as defined by an FSH level of > 40 iu/l, and change in duration of menses and length of menstrual cycle. Results There was no significant difference in the rate of ovarian failure at 12 months between UAE (11%) and surgical patients (18%) (P = 0.44). This finding was not influenced by age. The mean duration of menstrual flow decreased significantly, from baseline to 12 months, by 1.7 days (SD 3.8), (95% CI 0.8-2.6). There was no statistically significant change in mean cycle length at 12 months (0.7 days [SD 4.9]; 95% CI [-0.5, 1.9]). Conclusions There is no evidence for UAE accelerating a deterioration in ovarian function at 1 year, when compared with surgery. UAE is associated with a decrease in the duration of menstrual flow at 1 yea

Monitoring Gaseous CO2 and Ethanol above Champagne Glasses: Flute versus Coupe, and the Role of Temperature

In champagne tasting, gaseous CO2 and volatile organic compounds progressively invade the headspace above glasses, thus progressively modifying the chemical space perceived by the consumer. Simultaneous quantification of gaseous CO2 and ethanol was monitored through micro-gas chromatography (μGC), all along the first 15 minutes following pouring, depending on whether a volume of 100 mL of champagne was served into a flute or into a coupe. The concentration of gaseous CO2 was found to be significantly higher above the flute than above the coupe. Moreover, a recently developed gaseous CO2 visualization technique based on infrared imaging was performed, thus confirming this tendency. The influence of champagne temperature was also tested. As could have been expected, lowering the temperature of champagne was found to decrease ethanol vapor concentrations in the headspace of a glass. Nevertheless, and quite surprisingly, this temperature decrease had no impact on the level of gaseous CO2 found above the glass. Those results were discussed on the basis of a multiparameter model which describes fluxes of gaseous CO2 escaping the liquid phase into the form of bubbles