La cooperación en la industria vitivinícola : Contribución para resolver la crisis vitivinícola nacional

En el trabajo de tesis, cuyo resumen se publica, el autor hace algunas referencias sobre la introducción de la vid en América del Sur y posteriormente en la Argentina. Analiza las crisis que ha soportado la industria vitivinícola y hace una comparación entre ellas. Llega en su estudio a determinar que, para lograr la estabilización definitiva del mercado de vinos, es necesario modificar la estructuración sobre la que está montadla actualmente, no solo en su faz industrial sino también comercial, recalcando que la solución no podrá lograrse sin suprimir la coexistencia de gremios con intereses distintos y opuestos, como son los que representan a los vinateros sin bodegas y bodegueros trasladistas por una parte y a las grandes bodegas por otra; reconociendo que, si bien los primeros están expuestos a la especulación de los grandes establecimientos, su permanencia como tales, ocasiona en contra de sus intereses, serios trastornos a la industria impidiendo la regulación definitiva de la misma.Facultad de Ciencias Agrarias y Forestale

La cooperación en la industria vitivinícola : Contribución para resolver la crisis vitivinícola nacional

En el trabajo de tesis, cuyo resumen se publica, el autor hace algunas referencias sobre la introducción de la vid en América del Sur y posteriormente en la Argentina. Analiza las crisis que ha soportado la industria vitivinícola y hace una comparación entre ellas. Llega en su estudio a determinar que, para lograr la estabilización definitiva del mercado de vinos, es necesario modificar la estructuración sobre la que está montadla actualmente, no solo en su faz industrial sino también comercial, recalcando que la solución no podrá lograrse sin suprimir la coexistencia de gremios con intereses distintos y opuestos, como son los que representan a los vinateros sin bodegas y bodegueros trasladistas por una parte y a las grandes bodegas por otra; reconociendo que, si bien los primeros están expuestos a la especulación de los grandes establecimientos, su permanencia como tales, ocasiona en contra de sus intereses, serios trastornos a la industria impidiendo la regulación definitiva de la misma.Facultad de Ciencias Agrarias y Forestale

Virtual cochlear electrode insertion via parallel transport frame

International audienceWe present an automatic, fast and parametrizable algorithm to perform the virtual insertion of a cochlear electrode array into a pre-existent mesh of the human cochlea. Our method reorients the electrode according to the parallel transport frame, a local parameterization of the cochlear centerline directions, robust to the centerline curvature changes. It allows to control the initial roll angle and the extension of insertion from full to partial. Such a virtual insertion, chained with finite element simulations on the electrical activity of the electrode and the cochlear nerves, will enable to test in silico the effects of implant design and positioning on a given patient, and optimize these parameters accordingly

Unsupervised Segmentation of Fetal Brain MRI using Deep Learning Cascaded Registration

Accurate segmentation of fetal brain magnetic resonance images is crucial for analyzing fetal brain development and detecting potential neurodevelopmental abnormalities. Traditional deep learning-based automatic segmentation, although effective, requires extensive training data with ground-truth labels, typically produced by clinicians through a time-consuming annotation process. To overcome this challenge, we propose a novel unsupervised segmentation method based on multi-atlas segmentation, that accurately segments multiple tissues without relying on labeled data for training. Our method employs a cascaded deep learning network for 3D image registration, which computes small, incremental deformations to the moving image to align it precisely with the fixed image. This cascaded network can then be used to register multiple annotated images with the image to be segmented, and combine the propagated labels to form a refined segmentation. Our experiments demonstrate that the proposed cascaded architecture outperforms the state-of-the-art registration methods that were tested. Furthermore, the derived segmentation method achieves similar performance and inference time to nnU-Net while only using a small subset of annotated data for the multi-atlas segmentation task and none for training the network. Our pipeline for registration and multi-atlas segmentation is publicly available at https://github.com/ValBcn/CasReg.Comment: 17 pages, 8 figures, 5 tables, paper submitted to IEEE transaction on medical imagin

Validity of prognostic models of critical COVID-19 is variable. A systematic review with external validation

Objectives: To identify prognostic models which estimate the risk of critical COVID-19 in hospitalized patients and to assess their validation properties. Study design and setting: We conducted a systematic review in Medline (up to January 2021) of studies developing or updating a model that estimated the risk of critical COVID-19, defined as death, admission to intensive care unit, and/or use of mechanical ventilation during admission. Models were validated in two datasets with different backgrounds (HM [private Spanish hospital network], n = 1,753, and ICS [public Catalan health system], n = 1,104), by assessing discrimination (area under the curve [AUC]) and calibration (plots). Results: We validated 18 prognostic models. Discrimination was good in nine of them (AUCs ≥ 80%) and higher in those predicting mortality (AUCs 65%-87%) than those predicting intensive care unit admission or a composite outcome (AUCs 53%-78%). Calibration was poor in all models providing outcome's probabilities and good in four models providing a point-based score. These four models used mortality as outcome and included age, oxygen saturation, and C-reactive protein among their predictors. Conclusion: The validity of models predicting critical COVID-19 by using only routinely collected predictors is variable. Four models showed good discrimination and calibration when externally validated and are recommended for their use

Validity of prognostic models of critical COVID-19 is variable. A systematic review with external validation

To identify prognostic models that estimate the risk of critical COVID-19 in hospitalised patients and to assess their validation properties. We conducted a systematic review in Medline (up to January 2021) of studies developing or updating a model that estimated the risk of critical COVID-19, defined as death, admission to intensive care unit (ICU), and/or use of mechanical ventilation during admission. Models were validated in two datasets with different backgrounds (HM [private Spanish hospital network], n=1,753, and ICS [public Catalan health system], n=1,104); by assessing discrimination (area under the curve [AUC]) and calibration (plots). We validated 18 prognostic models. Discrimination was good in 9 of them (AUCs≥80%) and higher in those predicting mortality (AUCs 65-87%) than those predicting ICU admission or a composite outcome (AUCs 53-78%). Calibration was poor in all models providing outcome's probabilities and good in 4 models providing a point-based score. These four models used mortality as outcome, and included age, oxygen saturation, and C-reactive protein among their predictors. The validity of models predicting critical COVID-19 by using only routinely collected predictors is variable. Four models showed good discrimination and calibration when externally validated and are recommended for their use