Resultados totales (Incluyendo duplicados): 4
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UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/333712
Dataset. 2020

COOPERATIVE LEARNING FOR END-TO-END DELAY MODELING IN MULTI-DOMAIN NETWORKS [DATASET]

  • Ruiz Ramírez, Marc|||0000-0001-6429-6347
  • Velasco Esteban, Luis Domingo|||0000-0002-7345-296X
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)

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DOI: http://hdl.handle.net/2117/333712, https://dx.doi.org/10.5821/data-2117-333712-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/333712
HANDLE: http://hdl.handle.net/2117/333712, https://dx.doi.org/10.5821/data-2117-333712-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/333712
PMID: http://hdl.handle.net/2117/333712, https://dx.doi.org/10.5821/data-2117-333712-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/333712
Ver en: http://hdl.handle.net/2117/333712, https://dx.doi.org/10.5821/data-2117-333712-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/333712

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/111148
Dataset. 2017

QUANTUM LIQUID DROPLETS IN A MIXTURE OF BOSE-EINSTEIN CONDENSATES [DATASET]

  • Cabrera, C. R.
  • Tanzi, L.
  • Sanz, J.
  • Naylor, B.
  • Thomas, P.
  • Cheiney, P.
  • Tarruell, Leticia
Experimental data displayed in the figures of the article: Bose-Einstein condensates, Quantum mixtures, Quantum líquids, Quantum fluctuations., Peer Reviewed

DOI: http://hdl.handle.net/2117/111148, https://dx.doi.org/10.5821/data-2117-111148-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/111148
HANDLE: http://hdl.handle.net/2117/111148, https://dx.doi.org/10.5821/data-2117-111148-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/111148
PMID: http://hdl.handle.net/2117/111148, https://dx.doi.org/10.5821/data-2117-111148-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/111148
Ver en: http://hdl.handle.net/2117/111148, https://dx.doi.org/10.5821/data-2117-111148-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/111148

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/184325
Dataset. 2020

OSTEOSARCOMA TISSUE-ENGINEERED MODEL CHALLENGES OXIDATIVE STRESS THERAPY REVEALING PROMOTED CANCER STEM CELL PROPERTIES [DATASET]

  • Tornin Cavielles, Juan|||0000-0002-7676-3958
  • Villasante, Aranzazu
  • Sole Marti, Xavi
  • Ginebra Molins, Maria Pau|||0000-0002-4700-5621
  • Canal Barnils, Cristina|||0000-0002-3039-7462
These data are associated to the paper with the same title of the authors, and are structured according to the figures in the paper: http://hdl.handle.net/2117/335727, The use of Cold Atmospheric Plasma (CAP) in oncology is being recently studied as a novel potential anti-cancer therapy. However, the beneficial effects of CAP for treating osteosarcoma have mostly been demonstrated in 2-dimensional cultures of cells, which do not mimic the complexity of the 3-dimensional (3D) bone microenvironment. In order to evaluate the effects of CAP in a relevant context of the human disease, we developed a 3D tissue-engineered model of osteosarcoma using a bone-like scaffold made of collagen type I and hydroxyapatite nanoparticles. Human osteosarcoma cells cultured within the scaffold showed a high capacity to infiltrate and proliferate and to exhibit osteomimicry in vitro. As expected, we observed significantly different functional behaviors between monolayer and 3D cultures when treated with Cold Plasma-Activated Ringer’s Solution (PAR). Our data reveal that the 3D environment not only protects cells from PAR-induced lethality by scavenging and diminishing the amount of reactive oxygen and nitrogen species generated by CAP, but also favours the stemness phenotype of osteosarcoma cells. This is the first study that demonstrates the negative effect of PAR on cancer stem-like cell subpopulations in a 3D biomimetic model of cancer. These findings will allow to suitably re-focus research on plasma-based therapies in future

DOI: http://hdl.handle.net/2117/184325, https://dx.doi.org/10.5821/data-2117-184325-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/184325
HANDLE: http://hdl.handle.net/2117/184325, https://dx.doi.org/10.5821/data-2117-184325-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/184325
PMID: http://hdl.handle.net/2117/184325, https://dx.doi.org/10.5821/data-2117-184325-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/184325
Ver en: http://hdl.handle.net/2117/184325, https://dx.doi.org/10.5821/data-2117-184325-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/184325

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/330395
Dataset. 2020

EVALUATION OF THE EFFECTS OF COLD ATMOSPHERIC PLASMA AND PLASMA-TREATED LIQUIDS IN CANCER CELL CULTURES [DATASET]

  • Tornin Cavielles, Juan|||0000-0002-7676-3958
  • Labay, Cédric Pierre|||0000-0001-5147-5100
  • Tampieri, Francesco|||0000-0003-1474-867X
  • Ginebra Molins, Maria Pau|||0000-0002-4700-5621
  • Canal Barnils, Cristina|||0000-0002-3039-7462
This dataset is related to the protocol developed by the authors on the evaluation of the effects of cold atmospheric plasma and plasma-treated liquids in cancer cell cultures. More specifically, the data correspond to the anticipated results presented in the paper submitted to Nature Protocols, The present dataset corresponds to the anticipated results that can be obtained following the protocol described in the article. In particular, dataset corresponding to Figure 8 presents the absorbance values from the WST-1 cytotoxicity assay as a function of the well size where the experiment is performed. Data from Figure 9b show absorbance values from the WST-1 cytotoxicity assay as a function of the treatment time. Data from figure 9c-e show the absorbance or fluorescence values obtained in the experiments to quantify RONS, together with the values from the calibration curves. Data fromfigure 10 a provide the list and values of mRNA fold induction of the genes analyzed, and data from figure 10c show the pixel intensity obtained for the phospho-kinase antibody array.

DOI: http://hdl.handle.net/2117/360424, https://dx.doi.org/10.5821/data-2117-330395-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/330395
HANDLE: http://hdl.handle.net/2117/360424, https://dx.doi.org/10.5821/data-2117-330395-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/330395
PMID: http://hdl.handle.net/2117/360424, https://dx.doi.org/10.5821/data-2117-330395-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/330395
Ver en: http://hdl.handle.net/2117/360424, https://dx.doi.org/10.5821/data-2117-330395-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/330395

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