Bienvenido a RIUMA
RIUMA es el Repositorio Institucional de la Universidad de Málaga cuyo objetivo es facilitar y mejorar la visibilidad de la producción científica y académica de la Universidad permitiendo el acceso abierto a sus contenidos y garantizando la preservación y conservación de dicha producción. La colección abarca artículos, trabajos científicos, material docente, fondo antiguo digitalizado y otros documentos en distintos formatos digitales.
Comunidades en RIUMA
Añadido Recientemente
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Archiving strategies in the computational age: creating a media + data art digital media library based on a curatorial methodology
(2022)As an innovative solution to the challenges of documenting, indexing and researching new media art, this proposal proposes the creation of the Video-Policy media library (from now on MeViPol) within the framework of the ... -
Biomarkers of Venous Thromboembolism Recurrence after Discontinuation of Low Molecular Weight Heparin Treatment for Cancer-Associated Thrombosis (HISPALIS-Study)
(IOAP-MPDI, 2022-06-02)The most appropriate duration of anticoagulant treatment for cancer-associated venous thromboembolism (CAT) remains unclear. We have conducted a prospective multicenter study in CAT patients with more than 6 months of ... -
DNS of turbulent flow with uniform heat flux in a pipe
(2022)In this work we present results of direct numerical simulations (DNS) of the flow in a circular pipe at moderate Reynolds numbers, where a uniform heat flux is imposed on the walls. The simulations are performed by varying ... -
Overcoming stress: new insights in the regulation of cell wall biosynthesis
(2022)In addition to being crucial in plant development and defence, cellulose is the most abundant organic compound of all biomass on Earth1. Therefore, it is essential to elucidate the regulation of its biosynthesis to improve ... -
Multi-objective reference point techniques to optimize profitability, growth, and risk in the non-life insurance industry: international analysis
(Wiley, 2022-05-20)This paper combines reference point techniques and econometric analyses to provide the profile of non-life insurers that simultaneously optimize the strategic growth, profitability, and risk goals. The econometric analyses ...