94 research outputs found
Gènova, Barcelona i València en les cartes portolanes dels segles XIV i XV
No full textGenoa, Barcelona and Valencia in the portolan charts of the 14 TH and 15th centuries Several portolan charts dating from the 14th and 15th centuries, considered as works of art, contain pictorial representations of cities. In this article the author look at the cases of Genoa, Barcelona and Valencia. The Italian city stands out as the cradle of portolan cartography. These small images are a synthesis of the mediaeval city, with the architecture reduced to a minimum of expression
PORTOLAN: a Model-Driven Cartography Framework
No full textProcessing large amounts of data to extract useful information is an essential task within companies. To help in this task, visualization techniques have been commonly used due to their capacity to present data in synthesized views, easier to understand and manage. However, achieving the right visualization display for a data set is a complex cartography process that involves several transformation steps to adapt the (domain) data to the (visualization) data format expected by visualization tools. To maximize the benefits of visualization we propose Portolan, a generic model-driven cartography framework that facilitates the discovery of the data to visualize, the specification of view definitions for that data and the transformations to bridge the gap with the visualization tools. Our approach has been implemented on top of the Eclipse EMF modeling framework and validated on three different use cases.Traiter de grands volumes de données pour en extraire des informations utiles est une tâche essentielle au sein des entreprises. Pour faciliter cette tâche, les techniques de visualisation ont été communément utilisées, du fait de leur capacité à présenter les données dans des vues synthétiques, plus faciles à comprendre et à gérer. Cependant, obtenir la bonne représentation visuelle pour un ensemble de données est un processus complexe de cartographie qui implique de nombreuses étapes de transformation pour adapter le format des données du domaine au format des données de visualisation attendu par les outils de visualisation. Pour maximiser les avantages de la visualisation, nous proposons P ORTOLAN, un environnement générique de cartographie dirigée par les modèles qui facilite la découverte des données à visualiser, la spécification des définitions de vues sur ces données, et les transformations pour franchir la distance avec les outils de visualisation. Notre approche repose sur les composants Eclipse EMF Modeling et a été validée sur trois différents cas d'utilisation
PORTOLAN: a Model-Driven Cartography Framework
No full textProcessing large amounts of data to extract useful information is an essential task within companies. To help in this task, visualization techniques have been commonly used due to their capacity to present data in synthesized views, easier to understand and manage. However, achieving the right visualization display for a data set is a complex cartography process that involves several transformation steps to adapt the (domain) data to the (visualization) data format expected by visualization tools. To maximize the benefits of visualization we propose Portolan, a generic model-driven cartography framework that facilitates the discovery of the data to visualize, the specification of view definitions for that data and the transformations to bridge the gap with the visualization tools. Our approach has been implemented on top of the Eclipse EMF modeling framework and validated on three different use cases.Traiter de grands volumes de données pour en extraire des informations utiles est une tâche essentielle au sein des entreprises. Pour faciliter cette tâche, les techniques de visualisation ont été communément utilisées, du fait de leur capacité à présenter les données dans des vues synthétiques, plus faciles à comprendre et à gérer. Cependant, obtenir la bonne représentation visuelle pour un ensemble de données est un processus complexe de cartographie qui implique de nombreuses étapes de transformation pour adapter le format des données du domaine au format des données de visualisation attendu par les outils de visualisation. Pour maximiser les avantages de la visualisation, nous proposons P ORTOLAN, un environnement générique de cartographie dirigée par les modèles qui facilite la découverte des données à visualiser, la spécification des définitions de vues sur ces données, et les transformations pour franchir la distance avec les outils de visualisation. Notre approche repose sur les composants Eclipse EMF Modeling et a été validée sur trois différents cas d'utilisation
PORTOLAN: a Model-Driven Cartography Framework
No full textProcessing large amounts of data to extract useful information is an essential task within companies. To help in this task, visualization techniques have been commonly used due to their capacity to present data in synthesized views, easier to understand and manage. However, achieving the right visualization display for a data set is a complex cartography process that involves several transformation steps to adapt the (domain) data to the (visualization) data format expected by visualization tools. To maximize the benefits of visualization we propose Portolan, a generic model-driven cartography framework that facilitates the discovery of the data to visualize, the specification of view definitions for that data and the transformations to bridge the gap with the visualization tools. Our approach has been implemented on top of the Eclipse EMF modeling framework and validated on three different use cases.Traiter de grands volumes de données pour en extraire des informations utiles est une tâche essentielle au sein des entreprises. Pour faciliter cette tâche, les techniques de visualisation ont été communément utilisées, du fait de leur capacité à présenter les données dans des vues synthétiques, plus faciles à comprendre et à gérer. Cependant, obtenir la bonne représentation visuelle pour un ensemble de données est un processus complexe de cartographie qui implique de nombreuses étapes de transformation pour adapter le format des données du domaine au format des données de visualisation attendu par les outils de visualisation. Pour maximiser les avantages de la visualisation, nous proposons P ORTOLAN, un environnement générique de cartographie dirigée par les modèles qui facilite la découverte des données à visualiser, la spécification des définitions de vues sur ces données, et les transformations pour franchir la distance avec les outils de visualisation. Notre approche repose sur les composants Eclipse EMF Modeling et a été validée sur trois différents cas d'utilisation
The Use of Physical Restraints in Italian Intensive Care Units: Results From a Multicenter Observational Study
No full textBackground: The use of physical restraints (PRs) varies across countries and clinical settings, with intensive care units having the highest frequency. Although many investigations on the use of PRs have been conducted worldwide, few studies are reported in the Italian context. Objectives: The aims of this study were to describe PR rates and types and to observe the factors associated with PR use. Methods: In this observational study, 2 methods were used to collect data: direct observation and review of patients' documentations. Results: We performed 328 observations on 146 critically ill patients. Physical restraints were applied in 56.7% (n = 186) of these observations. Bilateral wrist ties were used for most PR episodes (n = 135, 72.6%), followed by unilateral wrist ties (12.9%). The most documented reasons were preventing patients from self-extubation (n = 93, 50.0%) and preserving indwelling lines and tubes (n = 60, 32. 2%). In the multivariate logistic regression analysis, patients who were cared for during the night shift were almost 4 times more likely to be restrained than patients in the morning shifts (odds ratio, 3.84; P =.001) and patients with endotracheal tube were 3.5 times more likely to be restricted than spontaneously breathing patients (odds ratio, 3.59; P <.001). Discussions: Physical restraints are commonly used among critically ill patients in Italian intensive care units. There is a need to share the metrics for an efficient and accurate measurement of PR usage and trends and to document the reason for restraints, type of restraints, timeframe, and decision-making criteria
Front Matter
No full textBanner, Contents, Editors (i-ii); Notes from the Editor (p 1); Presentation summaries: Yonemoto, Marcia, “Silence Without Secrecy? What is Left Unsaid in Early Modern Japanese Maps” (p 1), Shapinsky, Peter, “Japanese Portolan Charts and Hybrid Nautical Technologies”(p 2
Cartes marines : d'une technique à une culture. Actes du colloque du 3 décembre 2012, Bibliothèque nationale de France.
No full textNational audienceRésumés en anglais et en français.1ère partie : fabrication des cartes marines et navigations européennes- Ramon Josep Pujades i Bataller, “ The Pisana chart : really a primitive portolan chart made in the 13th century ?”, p. 17-32- Philip Billion, “How did medieval cartographers work ? New insights through a systematic analysis of the visual language of medievalportolan charts up to 1439”, p. 33-46- Tony Campbell, “Why the artificial shapes for the smaller islands on the portolan charts (1330-1600) help to clarify their navigational use”, p. 47-66- Joaquim Alves Gaspar, “From the portolan chart to the latitude chart : the silent cartographic revolution”, p. 67-78 2ème partie : les cartes marines à la croisée des savoirs géographiques- Jean-Charles Ducène, « Le Portulan arabe décrit par Al-Umari », p. 81-90- Frank Lestringant, « La Cosmographie universelle de Guillaume Le Testu (1556) : au croisement de la géographie savante et de la science nautique des portulans », p. 91-108- Marica Milanesi « Peut-on se fier aux cartes marines ? Considérations sur le statut des cartes marines au XVIe siècle », p. 109-118- Dejanira Couto, « Autour du globe ? La carte Hazine n°1825 de la bibliothèque du Palais Topkapi, Istanbul », p. 119-129.- Svat Soucek, « Piri Reis : his uniqueness among cartographers and hydrographers of the Renaissance, p. 135-144
Periprocedural antithrombotic strategies in acute coronary syndromes undergoing percutaneous coronary intervention: Have we discarded bivalirudin too soon?
No full textBackground: Publication of the BRIGHT-4 trial results has restimulated discussion about the optimal periprocedural antithrombotic strategy for patients undergoing percutaneous coronary intervention (PCI) with acute coronary syndromes (ACS). It is possible that variation in the infusion duration, may contribute to observed differences in safety-efficacy profiles of bivalirudin in this clinical setting. Methods: Up to December 2022, randomized controlled trials (RCTs) comparing bivalirudin (either administered peri-procedurally or accompanied by postprocedural infusion) and heparin, both with or without GPI, were searched and entered in a frequentist network meta-analysis. Co-primary endpoints were trial-defined major adverse composite events (MACE) and major bleeding. Incident rate ratios (IRR) and 95 % confidence intervals (CI) were estimated. Results: 10 RCTs (N = 57,137 patients/month) were included. As compared to heparin, prolonged bivalirudin infusion resulted in lower rates of major bleeding (IRR 0.58, 95 % CI 0.36–0.91), but there was no differences in MACE rates between these strategies. With regard to NACE, prolonged bivalirudin infusion yielded lower risk (IRR 0.86, 95 % CI 0.77–0.96), whereas both bivalirudin and heparin increased risk when coupled with GPI (IRR 1.24, 95 % CI 1.01–1.51 and IRR 1.24, 95 % CI 1.06–1.44, respectively). Both these combination strategies also increased minor bleeding rates (IRR 1.49, 95 % CI 1.16–1.93 and IRR 1.58, 95 % CI 1.29–1.95, respectively, for bivalirudin and heparin). Results were consistent across several sensitivity analyses. Conclusion: In patients with ACS undergoing PCI, procedural bivalirudin administration followed by prolonged infusion results in lower major bleeding rates, but there does not appear to be a difference in observed MACE
- …
