85 research outputs found

    O valor artístico em Edgar Allan Poe e Honoré de Balzac

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    Este trabalho propĂ”e a possibilidade de, mediante um estudo binĂĄrio entre dois autores distintos, uma discussĂŁo sobre um tema muito explorado e relevante Ă s artes, o julgamento de valor.Para tanto, valemo-nos do conto “O retrato Oval”, de Edgar Allan Poe (1809-1849) e da novela A obra prima ignorada, de HonorĂ© de Balzac (1799-1850)

    Long-Term Relationship Between Atrial Fibrillation, Multimorbidity and Oral Anticoagulant Drug Use

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    Objectives: To analyze the relationship between atrial fibrillation (AF) and Charlson comorbidity index (CCI) in a population-based cohort study over a long-term follow-up period, in relation to oral anticoagulant (OAC) prescriptions and outcomes. Patients and Methods: We used data from the administrative health databases of Lombardy. All patients with AF and age 40 years and older and who were admitted to the hospital in 2002 were considered for analysis and followed up to 2014. AF diagnosis and CCI were established according to codes from the International Classification of Diseases, Ninth Revision. Results: In 2002, 24,040 patients were admitted with a diagnosis of AF. CCI was higher in patients with AF than in those without AF (1.8\ub12.1 vs 0.2\ub10.9; P<.001). Over 12 years of follow-up, AF was associated with an increased risk of higher CCI (beta coefficient, 1.69; 95% CI, 1.67-1.70). In patients with AF, CCI was inversely associated with OAC prescription at baseline (P<.001) and at the end of the follow-up (P=.03). Patients with AF and a high CCI ( 654) had a higher cumulative incidence of stroke, major bleeding, and all-cause death (all P<.001), compared with those with low CCI (range, 0-3). Adjusted Cox regression analysis revealed that time-dependent continuous CCI was associated with an increased risk for stroke, major bleeding, and all-cause death (all P<.001). Conclusions: In hospitalized patients, AF is associated with an increase in CCI that is inversely associated with OAC prescriptions during follow-up. CCI is independently associated with an increased risk of stroke, major bleeding, and all-cause death

    Modeling the material resistance of wood—part 2:Validation and optimization of the meyer-veltrup model

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    Service life planning with timber requires reliable models for quantifying the effects of exposure-related parameters and the material-inherent resistance of wood against biotic agents. The Meyer-Veltrup model was the first attempt to account for inherent protective properties and the wetting ability of wood to quantify resistance of wood in a quantitative manner. Based on test data on brown, white, and soft rot as well as moisture dynamics, the decay rates of different untreated wood species were predicted relative to the reference species of Norway spruce (Picea abies). The present study aimed to validate and optimize the resistance model for a wider range of wood species including very durable species, thermally and chemically modified wood, and preservative treated wood. The general model structure was shown to also be suitable for highly durable materials, but previously defined maximum thresholds had to be adjusted (i.e., maximum values of factors accounting for wetting ability and inherent protective properties) to 18 instead of 5 compared to Norway spruce. As expected, both the enlarged span in durability and the use of numerous and partly very divergent data sources (i.e., test methods, test locations, and types of data presentation) led to a decrease in the predictive power of the model compared to the original. In addition to the need to enlarge the database quantity and improve its quality, in particular for treated wood, it might be advantageous to use separate models for untreated and treated wood as long as the effect of additional impact variables (e.g., treatment quality) can be accounted for. Nevertheless, the adapted Meyer-Veltrup model will serve as an instrument to quantify material resistance for a wide range of wood-based materials as an input for comprehensive service life prediction software

    Modelling the Material Resistance of Wood—Part 3: Relative Resistance in above- and in-Ground Situations—Results of a Global Survey

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    Durability-based designs with timber require reliable information about the wood properties and how they affect its performance under variable exposure conditions. This study aimed at utilizing a material resistance model (Part 2 of this publication) based on a dose–response approach for predicting the relative decay rates in above-ground situations. Laboratory and field test data were, for the first time, surveyed globally and used to determine material-specific resistance dose values, which were correlated to decay rates. In addition, laboratory indicators were used to adapt the material resistance model to in-ground exposure. The relationship between decay rates in- and above-ground, the predictive power of laboratory indicators to predict such decay rates, and a method for implementing both in a service life prediction tool, were established based on 195 hardwoods, 29 softwoods, 19 modified timbers, and 41 preservative-treated timbers

    Hygro-thermal models

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    Health Monitoring of Stress-Laminated Timber Bridges Assisted by a Hygro-Thermal Model for Wood Material

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    Timber bridges are economical, easy to construct, use renewable material and can have a long service life, especially in Nordic climates. Nevertheless, durability of timber bridges has been a concern of designers and structural engineers because most of their load-carrying members are exposed to the external climate. In combination with certain temperatures, the moisture content (MC) accumulated in wood for long periods may cause conditions suitable for timber biodegradation. In addition, moisture induced cracks and deformations are often found in timber decks. This study shows how the long term monitoring of stress-laminated timber decks can be assisted by a recent multi-phase finite element model predicting the distribution of MC, relative humidity (RH) and temperature (T) in wood. The hygro-thermal monitoring data are collected from an earlier study of the Sørliveien Bridge in Norway and from a research on the new Tapiola Bridge in Finland. In both cases, the monitoring uses integrated humidity-temperature sensors which provide the RH and T in given locations of the deck. The numerical results show a good agreement with the measurements and allow analysing the MCs at the bottom of the decks that could be responsible of cracks and cupping deformations

    FEM modelling of wood cell deformation under dynamic loads

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    Dynamic compressive and shear loads applied to wet woodchips at high values of speed and temperature during thermo-mechanical pulping are aimed at separating wood fibres from the raw material to increase both the flexibility and the bonding ability of the fibres [1,2]. However, further research is needed to deeply understand the complex mechanisms at the origin of wood cell disintegration. Recent studies have pointed out the importance of both experimental and computational research at the microscale of wood to define the properties of this hygroscopic and highly anisotropic material as well as to understand the complex phenomena occurring in wood cells under different processes and environments [3,4]. A Swedish research presented in [1] has provided interesting experimental results in regards to wet wood cell deformation and measurements of the work done under different low speed loads (see references in [2]). A finite element model was also introduced to simulate the deformation of cells in [2]. The present study proposes a flexible FEM tool for Abaqus code based on the data presented in [2]. It uses an automated script for parametric model generation combined with a Vmat user subroutine [5]. The model is able to analyse the influence of different geometrical parameters on the cell wall opening and the effect of contacts among cell walls during loading. Compared to previous FEM models, the influence of the plastic behaviour of wood cells under compression [6] is also investigated. The numerical method provides results in terms of load-displacement curves with the aim to obtain important suggestions for the energy saving during thermo-mechanical pulping processes
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