Publications by authors named "Cecilia Rivera"

Objective: For ICD-10 coding causes of death in France in 2018 and 2019, predictions by deep neural networks (DNNs) are employed in addition to fully automatic batch coding by a rule-based expert system and to interactive coding by the coding team focused on certificates with a special public health interest and those for which DNNs have a low confidence index.

Methods: Supervised seq-to-seq DNNs are trained on previously coded data to ICD-10 code multiple causes and underlying causes of death. The DNNs are then used to target death certificates to be sent to the coding team and to predict multiple causes and underlying causes of death for part of the certificates.

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The EYNR is the most important wetland in central Chile because it is protected as a RAMSAR site. It includes coastal lagoons, estuaries and saltmarshes, sustaining an important biodiversity. The chemical complexity was described using water and soil samples, which are characterized by high levels of alkalinity and soil cations.

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Purpose: Health-related quality of life (HRQOL) improves throughout treatment of patients with nonmetastatic osteosarcoma. We compared HRQOL for patients in the United States and Chile treated on an international trial (OS99) with polychemotherapy and surgery, and we assessed the relationships among HRQOL measures, event-free survival (EFS), and overall survival (OS).

Materials And Methods: Patients with newly diagnosed, localized osteosarcoma and their parents completed three HRQOL instruments (PedsQL v.

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Background: Health-related quality of life (HRQOL) of paediatric patients with osteosarcoma has not been documented longitudinally during treatment. Aims of this prospective study were to assess treatment effects on patients' HRQOL at diagnosis, during therapy and after completion of therapy, to assess sex- and age-related differences in HRQOL ratings and to assess differences between patients' and parents' reports.

Patients And Methods: Sixty-six patients (median age, 13.

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Methylation of inorganic arsenic has been regarded as a detoxification mechanism because its metabolites monomethylarsonic acid (MMA(v)) and dimethylarsinic acid (DMA(v)) are supposed to be less toxic than inorganic arsenite and arsenate. In recent years, however, this interpretation has been questioned. Additionally, there are insufficient reports concerning the effects of arsenic compounds on cell membrane structure and functions.

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There are scanty reports concerning the effects of arsenic compounds on the structure and functions of cell membranes. With the aim to better understand the molecular mechanisms of the interaction of arsenite with cell membranes we have utilized bilayers of dimyristoylphosphatidylcholine (DMPC) and dimyristoylphosphatidylethanolamine (DMPE), representative of phospholipid classes located in the outer and inner monolayers of the human erythrocyte membrane, respectively. The capacity of arsenite to perturb the bilayer structures was determined by X-ray diffraction and fluorescence spectroscopy, whilst the modification of their thermotropic behaviour was followed by differential scanning calorimetry (DSC).

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Arsenic, applied as sodium arsenite (As(III)) to either inner or outer surfaces of the isolated toad skin, dose-dependently decreased the short-circuit current (Isc), potential difference (PD) and sodium conductance (G(Na)) in the concentration range 1-1000 microM, with effects often lasting over 3 h. Maximal inhibitory effect was over 90% with an IC(50) of about 34 microM. Applied during amiloride block, As(III) did not change this effect.

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