141 research outputs found

    Sedimentologia y Mineralogia de Playas de la Peninsula Valdes y el Golfo Nuevo (Chubut - Argentina)

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    Beach sediments of the area under study have the following textural characteristics: 59% correspond to fine sands; in lower proportion we can find medium and coarse sands; 40% are gravel and sandy gravel; 1% include the politic fraction. Log-probabilistic curves show a general normal behavior in textural distribution. The predominant sorting is moderate indicating an intermediate maturity degree. Mineralogical characteristics are: minerals present belong to the “pampeano-patagónica” association; high concentrations of glass and garnet have been observed in some areas and this can be attributed to local dynamic conditions; using the grouping statistical analysis three groups were established and their characteristics would indicate a distributive tendency related to energy conditions of each environment; the gulfs dynamical behavior would depends on the coastal topography and on wind influences over littoral drift

    ¿Por qué hacer un trabajo de campo? : Experiencia de alumnos del profesorado en Ciencias Biologicas

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    Los trabajos de campo son experiencias que docentes y alumnos pueden utilizar como estrategia didáctica para desarrollar destrezas y aumentar la motivación al abordar el tema ciencias. En el presente trabajo se describe una metodología puesta en práctica con alumnos del Profesorado en Ciencias Biológicas, que se propone a los docentes para planificar sus salidas de campo. A partir del trabajo de campo desarrollado se pudo evidenciar la importancia de éste tipo de actividades didácticas extra-áulicas para el desarrollo de actitudes y destrezas, tales como la organización de tareas, colaboración entre pares, redacción de informes científicos, además, sobre la base de hipótesis y objetivos previos, el abordaje interdisciplinario para la observación y análisis del ambiente en estudio.Trabajos del área Ciencias NaturalesDepartamento de Ciencias Exactas y Naturale

    Epiploic appendagitis – clinical characteristics of an uncommon surgical diagnosis

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    <p>Abstract</p> <p>Background</p> <p>Epiploic appendagitis (EA) is a rare cause of focal abdominal pain in otherwise healthy patients with mild or absent secondary signs of abdominal pathology. It can mimick diverticulitis or appendicitis on clinical exam. The diagnosis of EA is very infrequent, due in part to low or absent awareness among general surgeons. The objective of this work was to review the authors' experience and describe the clinical presentation of EA.</p> <p>Methods</p> <p>All patients diagnosed with EA between January 2004 and December 2006 at an urban surgical emergency room were retrospectively reviewed by two authors in order to share the authors' experience with this rare diagnosis. The operations were performed by two surgeons. Pathological examinations of specimens were performed by a single pathologist. A review of clinical presentation is additionally undertaken.</p> <p>Results</p> <p>Ten patients (3 females and 7 males, average age: 44.6 years, range: 27–76 years) were diagnosed with symptomatic EA. Abdominal pain was the leading symptom, the pain being localized in the left (8 patients, 80 %) and right (2 patients, 20%) lower quadrant. All patients were afebrile, and with the exception of one patient, nausea, vomiting, and diarrhea were not present. CRP was slightly increased (mean: 1.2 mg/DL) in three patients (33%). Computed tomography findings specific for EA were present in five patients. Treatment was laparoscopic excision (n = 8), excision via conventional laparotomy (n = 1) and conservative therapy (n = 1).</p> <p>Conclusion</p> <p>In patients with localized, sharp, acute abdominal pain not associated with other symptoms such as nausea, vomiting, fever or atypical laboratory values, the diagnosis of EA should be considered. Although infrequent up to date, with the increase of primary abdominal CT scans and ultrasound EA may well be diagnosed more frequently in the future.</p

    Can urban coffee consumption help predict US inflation?

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    Motivated by the importance of coffee to Americans and the significance of the coffee subsector to the US economy, we pursue three notable innovations. First, we augment the traditional Phillips curve model with the coffee price as a predictor, and show that the resulting model outperforms the traditional variant in both in-sample and out-of-sample predictability of US inflation. Second, we demonstrate the need to account for the inherent statistical features of predictors such as persistence, endogeneity, and conditional heteroskedasticity effects when dealing with US inflation. Consequently, we offer robust illustrations to show that the choice of estimator matters for improved US inflation forecasts. Third, the proposed augmented Phillips curve also outperforms time series models such as autoregressive integrated moving average and the fractionally integrated version for both in-sample and out-of-sample forecasts. Our results show that augmenting the traditional Phillips curve with the urban coffee price will produce better forecast results for US inflation only when the statistical effects are captured in the estimation process. Our results are robust to alternative measures of inflation, different data frequencies, higher order moments, multiple data samples and multiple forecast horizons
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