Resultados de investigación

Junta de Andalucía. Grupo de investigación PAI-HUM-0159, Archivo Arturo Reyes

Fotografía Alejandro Rojas Marcos

APOCALYPSE, es una colección de moda, para la primavera verano 2021, que surgió a partir de la situación provocada por la pandemia del Covid 19. Esta época surrealista he hemos vivido, ha dado paso a un nuevo orden; propone nuevas soluciones simbólicas y futuristas mezcladas con otras más convencionales derivadas de monos protectores y ropa sanitaria, acorde a la imperiosa necesidad de autoprotección de los humanos para enfrentar al enemigo invisible, el COVID-19. El virus, el gran desconocido, se manifiesta como una entidad imaginaria sorprendente y desconocida, se refleja en prendas generadas con el método experimental de patronaje Accidental Cutting. No todas las prendas de la colección están creadas con este método de patronaje experimental, pero muchas de ellas sí. Durante esos tiempos sin precedentes, la moda y todos sus procesos se han visto afectados. Era una época de incertidumbre y cambios, pero también de innovación y nuevas posibilidades, algo que la diseñadora Eva Iszoro (www.accidentalcutting.com) aplicó durante el confinamiento por el COVID 19. Aprendió un software de construcción 3D específico, lo que le permitió crear una colección 100% virtual en tiempos en los que el acceso a modelos y costureras reales no era tan obvio., “APOCALIPSIS la nueva realidad” es una colección de moda, para la primavera verano 2021, presentada en Mercedes Benz Fashion Week, Samsung Ego, que explora el proceso creativo del método de patronaje experimental Accidental Cuttting, propiedad intelectual de Eva Iszoro, al igual que la marca de moda del mismo nombre. https://accidentalcutting.com/apocalypse-the-new-reality-ss-21_mercedes-benz-fashion-week/ https://www.youtube.com/watch?v=jwt40QhlTaQ

This dataset has been used to generate part of the results included in the manuscript: "Cooperative Learning for End-to-End Delay Modeling in Multi-Domain Networks", submitted to IEEE Transactions on Network and Service Management (TNSM) at the time of publication of this dataset. The dataset contains synthetic end-to-end (e2e) delay and traffic measurements for multidomain paths established in a network consisting in three domains. Paths traverse either two or three domains. Besides e2e monitoring data, routing information of the paths and the models used to compute the delay introduced for each domain (i.e. intra-domain delay components of total e2e delay) are provided. Traffic and delay data were synthetically generated according to the CURSA-SQ methodology. For further details about it, please refer to the following reports: "The Logistic Queue Model", Tech. Rep. UPC-DAC-RR-GEN-2020-1 (Available online: https://people.ac.upc.edu/lvelasco/docs/research/UPC-DAC-RR-GEN-2020-1.pdf) and "Validation of the CURSA-SQ Methodology", Tech. Rep. UPC-DAC-RR-GEN-2020-2 (Available online: https://people.ac.upc.edu/lvelasco/docs/research/UPC-DAC-RR-GEN-2020-2.pdf), 1

These data are associated to the paper with the same title and are structured according to the figures in the paper. These data correspond to the research results of the WP2 of the European Project 4D-POLYSENSE., The present dataset collects and reports the scientific results corresponding to a scientific study of a commercial and fully flexible versatile bilayer system, composed by a polypropylene (PP) mesh and a covalently bonded poly(N-isopropylacrylamide) (PNIPAAm) hydrogel. In this study the mechanism responsible for cell-adhesion and de-adhesion, when the PNIPAAm-co-MBA monolayer film (adherent on one hand to the PP substrate and anti-adherent on the other hand to cell proliferation) is being employed, has been elucidated. The grafting of the hydrogel was studied and the the graft yield as well as the spectroscopic characterization (FTIR and XPS) of samples treated at different concentration of the crosslinker and different grafting time are ported in the present dataset. The scientific results of cell adhesion and biocompatibility assay are also included, being the in vitro results with fibroblast (COS-1) and epithelial (MCF-7) cells obtained with a mesh modified with a porous iPP-g-PNIPAAm bilayer system, prepared via PNIPAAm grafting for 2 h at the lowest N,NI-methylene bis(acrylamide) (MBA) concentration (1 mM)., 1

These data are associated to the paper with the same title and are structured according to the figures in the paper. These data correspond to the research results of the WP3 of the European Project 4D-POLYSENSE., The present dataset reports the scientific results corresponding to a scientific study where a bidimensional (2D) polypropylene flexible mesh material has been converted into a fourth dimension (4D) dynamic system. The platform is composed by a fibres of isotactic polypropylene (iPP) mesh coated with thermosensitive poly(N-isopropylacrylamide-co-N,N'-methylene bis(acrylamide) (PNIPAAm-co-MBA) hydrogel, and undergoes variations in its geometry by reversible folding/unfolding behaviour. Folding and unfolding motion in aqueous solution of bilayer and monolayer systems composed by two or one layer of hydrogel, respectively, are reported in the present dataset. Furthermore, an infrared thermographic camera and an optical microscope were used to evaluate the macroscopic and microscopic structure stimulus response in air. Additionally, PP-g-PNIPAAm meshes showed an increase in the mechanical properties (bursting strength) with respect to the uncoated mesh., 1

These data are associated to the paper with the same title and are structured according to the figures in the paper. These data correspond to the research results of the WP1 of the European Project 4D-POLYSENSE., In the scientific publication corresponding to the present dataset, a commercial and fully flexible monofilament polypropylene mesh has been used for the deposition of a thermosensitive hydrogel, generated by graft copolymerization of N-isopropylacrylamide (NIPAAm) and N,NI-methylene bis(acrylamide) (MBA) monomers. The study represents an initial step for the future development of a new generation of surgical meshes, able to interact with the complex three-dimensional structure of biological tissues, as smart materials working as self-evolving motion sensors. The meshes were previously functionalized by O2-plasma method and subsequently grafted with the thermoresponive hydrogel and the data related to micro- and standard spectroscopy techniques empoyed for the characterization, such as Raman spectroscopy, FTIR spectroscopy and XPS, are reported in the present dataset. Additionally, the data of graft yield and thermoresponsive properties of PNIPAAm (VPTT behaviour) are included in the dataset, 1

Recogida de datos de pacientes con carcinomatosis peritoneal, No

The dataset is composed of the RSSI fingerprinting calibration of two malls employing four different smartphones with the random walking survey method. Moreover, the dataset includes validation routes performed with ten smartphones from various brands and labeled with the code of the shops where they were registered. For evaluation purposes, together with the samples, information related to the shopping center like the Euclidean distance between shops is provided. The files are described as follows: -'building.csv’: two rows with the id of mall 1 and mall 2. -‘floor.csv’: there is a row for each of the floors of the two malls. Three floors for mall 1 and two floors for mall 2 -‘zones.csv’: for each zone is indicated the id of the mall and the id floor. There are 69 zones from mall 1 and 124 for mall 2 -‘training.csv’: in this file are registered the ids and the description of the five different calibrations performed (one per smartphone) in each of the malls. -‘training_sample.csv’: each row of the file has the RSSI in dBm recorded during the off-line calibration phase together with the timestamp, channel, and MAC of the AP. -‘route.csv’: the id’s and the description of each of the validation routes are recorded in this file. -‘route_sample.csv’: with a similar structure than the training_sample.csv, the RSSI, timestamp, channel, and MAC acquired during the validation routes are stored in this file. -‘euclidea_distance.csv”: to evaluate the error of the different algorithms, this file recorded the euclidean distance from the center of a shop to each other in meters.