Contaminazioni. Storie edificanti dall'altro mondo

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چکیده

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MONDO: Scalable Modelling and Model Management on the Cloud

Achieving scalability in modelling and MDE involves being able to construct large models and domain-specific languages in a systematic manner, enabling teams of modellers to construct and refine large models in collaboration, advancing the state of the art in model querying and transformations tools so that they can cope with large models (of the scale of millions of model elements), and provid...

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MONDO-SAM: A Framework to Systematically Assess MDE Scalability

ABSTRACT Processing models efficiently is an important productivity factor in Model-Driven Engineering (MDE) processes. In order to optimize a toolchain to meet scalability requirements of complex MDE scenarios, reliable performance measures of different tools are key enablers that can help selecting the best tool for a given workload. To enable systematic and reproducible benchmarking across d...

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Monitoring dialysis outcomes across the world--the MONDO Global Database Consortium.

BACKGROUND/AIMS Dialysis providers frequently collect detailed longitudinal and standardized patient data, providing valuable registries of routine care. However, even large organizations are restricted to certain regions, limiting their ability to separate effects of local practice from the pathophysiology shared by most dialysis patients. To overcome this limitation, the MONDO (MONitoring Dia...

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Associations between global population health indicators and dialysis variables in the Monitoring Dialysis Outcomes (MONDO) consortium.

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Seasonal variations in mortality and clinical indicators in international hemodialysis populations from the MONDO registry

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ژورنال

عنوان ژورنال: MISSION

سال: 2018

ISSN: 2037-4798

DOI: 10.3280/mis49-2018oa5886