Resultados totales (Incluyendo duplicados): 35683
Encontrada(s) 3569 página(s)
Encontrada(s) 3569 página(s)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162121
Dataset. 2021
RELATIVE IMPORTANCE OF RECALL, PRECISION, F-MEASURE, INFORMEDNESS, AND MARKEDNESS METRICS TO EVALUATE SECURITY TOOLS IN BUSINESS CRITICAL, HEIGHTENED CRITICAL, BEST EFFORT, AND MINIMUM EFFORT SCENARIOS, ACCORDING TO THE DECLARED PREFERENCES AND FAMILIARITY WITH MEASURES OF EXPERTS IN THE DOMAIN
- Martínez Raga, Miquel|||0000-0001-5601-6990
- Ruiz García, Juan Carlos|||0000-0001-7678-3513
- Antunes, Nuno
- Andrés Martínez, David de|||0000-0002-4744-3795
- Vieira, Marco
[EN] The benchmarking of security tools is endeavored to determine which tools are more suitable to detect system vulnerabilities or intrusions. The analysis process is usually oversimplified by employing just a single metric out of the large set of those available. Accordingly, the decision may be biased by not considering relevant information provided by neglected metrics. This work proposes a novel approach to take into account several metrics, different scenarios, and the advice of multiple experts. The proposal relies on experts quantifying the relative importance of each pair of metrics towards the requirements of a given scenario. Their judgments are aggregated using group decision making techniques, and pondered according to the familiarity of experts with the metrics and scenario, to compute a set of weights accounting for the relative importance of each metric. Then, weight-based multi-criteria-decision-making techniques can be used to rank the benchmarked tools. This dataset contains raw data obtained from 21 experts, who declared their familiarity with considered metrics and their preference for each metric in the considered scenarios. Processed data include the consistency ratio of resulting pairwise comparison matrices so inconsistent matrices are rejected - weight = 0.00), the relative contribution of each expert according to their declared familiarity with metrics and computed CRs, and the contribution (weight) of each metric towards each considered scenario.
Proyecto: Ministerio de Economía y Competitividad, European Commission/H2020/TIN2016-81075-R, 690116
DOI: Dataset/10251/162121" target="_blank">http://hdl.handle.net/10251/162121, https://dx.doi.org/10.4995/Dataset/10251/162121
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162121
HANDLE: Dataset/10251/162121" target="_blank">http://hdl.handle.net/10251/162121, https://dx.doi.org/10.4995/Dataset/10251/162121
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162121
PMID: Dataset/10251/162121" target="_blank">http://hdl.handle.net/10251/162121, https://dx.doi.org/10.4995/Dataset/10251/162121
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162121
Ver en: Dataset/10251/162121" target="_blank">http://hdl.handle.net/10251/162121, https://dx.doi.org/10.4995/Dataset/10251/162121
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162121
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162215
Dataset. 2021
REPRESENTACIÓN GRÁFICA ONDA P - ECG
- Santiago Praderas, Víctor Manuel|||0000-0001-7765-8300
- Taroncher Pellicer, Luís
- Fernández Cisnal, Agustín
[ES] Los datos representan los valores numéricos para la representación de la onda P de un electrocardiograma
Proyecto: //
DOI: Dataset/10251/162215" target="_blank">http://hdl.handle.net/10251/162215, https://dx.doi.org/10.4995/Dataset/10251/162215
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162215
HANDLE: Dataset/10251/162215" target="_blank">http://hdl.handle.net/10251/162215, https://dx.doi.org/10.4995/Dataset/10251/162215
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162215
PMID: Dataset/10251/162215" target="_blank">http://hdl.handle.net/10251/162215, https://dx.doi.org/10.4995/Dataset/10251/162215
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162215
Ver en: Dataset/10251/162215" target="_blank">http://hdl.handle.net/10251/162215, https://dx.doi.org/10.4995/Dataset/10251/162215
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162215
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162216
Dataset. 2021
ENCUESTA ALUMNADO EXPERIENCIA APRENDIZAJE COLABORATIVO ETSA-FBAA
- Hernández Navarro, Yolanda|||0000-0001-6586-1395
[ES] La presente encuesta evidencia el grado de satisfacción del alumnado partícipe en una experiencia de aprendizaje colaborativo. Para ello, valora el tiempo dedicado y organización de los trabajos dentro del equipo, el fomento del debate y la tutoría entre iguales, la adecuación del trabajo al contenido de la asignatura, segregación y socialización y actuación del profesorado., A todos los participantes
Proyecto: //
DOI: Dataset/10251/162216" target="_blank">http://hdl.handle.net/10251/162216, https://dx.doi.org/10.4995/Dataset/10251/162216
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162216
HANDLE: Dataset/10251/162216" target="_blank">http://hdl.handle.net/10251/162216, https://dx.doi.org/10.4995/Dataset/10251/162216
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162216
PMID: Dataset/10251/162216" target="_blank">http://hdl.handle.net/10251/162216, https://dx.doi.org/10.4995/Dataset/10251/162216
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162216
Ver en: Dataset/10251/162216" target="_blank">http://hdl.handle.net/10251/162216, https://dx.doi.org/10.4995/Dataset/10251/162216
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162216
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162217
Dataset. 2021
MEMBRANE AND MEDIA EFFECT ON NOR ELOX BDD VS CERAMIC ELECTRODES
- Carrillo Abad, Jordi|||0000-0002-6022-3789
- Mora Gómez, Julia|||0000-0002-1781-8664
- García Gabaldón, Montserrat|||0000-0003-4254-6733
- Mestre, Sergio
- Pérez Herranz, Valentín|||0000-0002-4010-0888
[EN] This dataset contains the evolution with time of the following measured variables: relative Norfloxacin concentration, relative total organic carbon Concentration and cell potential These variables was obtained for 3 different anodic materials, CuO (ceramic anode with Cupper as sintering aid), BDD and BCE (basic ceramic electrode, based on SnO2 doped with Sb2O3); and two different electrochemical reactors with and without membrane, EMR and OCR, respectively. All the experiments were under an applied current of 400 mA and at room temperature., The authors want to express their gratitude to the Ministerio de Economía y Competitividad (Spain) and the FEDER funds, which financially support the project RTI2018-101341-B-C21.
DOI: Dataset/10251/162217" target="_blank">http://hdl.handle.net/10251/162217, https://dx.doi.org/10.4995/Dataset/10251/162217
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162217
HANDLE: Dataset/10251/162217" target="_blank">http://hdl.handle.net/10251/162217, https://dx.doi.org/10.4995/Dataset/10251/162217
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162217
PMID: Dataset/10251/162217" target="_blank">http://hdl.handle.net/10251/162217, https://dx.doi.org/10.4995/Dataset/10251/162217
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162217
Ver en: Dataset/10251/162217" target="_blank">http://hdl.handle.net/10251/162217, https://dx.doi.org/10.4995/Dataset/10251/162217
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162217
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162283
Dataset. 2021
INFORMATION ON ENERGY EFFICIENCY BY AGE OF CONSTRUCTION OF THE HOUSE
- Coll Aliaga, Peregrina Eloína|||0000-0001-8938-9216
[EN] Buildings have become a key source of greenhouse gas (GHG) emissions due to the consumption of primary energy, especially when used to achieve thermal comfort conditions. In addition, buildings play a key role for adapting societies to climate change by achieving more energy efficiency. Therefore, buildings have become a key sector to tackle climate change at the local level. However, public decision-makers do not have tools with enough spatial resolution to prioritise and focus the available resources and efforts in an efficient manner. The objective of the research is to develop an innovative methodology based on a geographic information system (GIS) for mapping primary energy consumption and GHG emissions in buildings in cities according to energy efficiency certificates
Proyecto: //
DOI: Dataset/10251/162283" target="_blank">http://hdl.handle.net/10251/162283, https://dx.doi.org/10.4995/Dataset/10251/162283
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162283
HANDLE: Dataset/10251/162283" target="_blank">http://hdl.handle.net/10251/162283, https://dx.doi.org/10.4995/Dataset/10251/162283
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162283
PMID: Dataset/10251/162283" target="_blank">http://hdl.handle.net/10251/162283, https://dx.doi.org/10.4995/Dataset/10251/162283
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162283
Ver en: Dataset/10251/162283" target="_blank">http://hdl.handle.net/10251/162283, https://dx.doi.org/10.4995/Dataset/10251/162283
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162283
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162285
Dataset. 2021
ENCUESTA DE ACTITUDES HACIA LA ESTADÍSTICA EN SECUNDARIA
- Peiró Signes, Angel|||0000-0002-1549-6972
- Trull Domínguez, Óscar|||0000-0003-2896-8606
[ES] Esta base de datos utiliza La Encuesta de actitudes hacia la estadística creada por Auzmendi (2009). Los datos se corresponden con los resultados de la encuesta pasados a alumnos de un único instituto de enseñanza secundaria en 3 niveles (4º de la ESO, 1BACH y 2BACH) a alumnos que han estado en contacto con conceptos estadísticos en la asignatura de matemáticas. La encuesta mide 5 dimensiones de las actitudes hacia la estadística. Motivación, confianza, ansiedad, utilidad y satisfacción
Proyecto: //
DOI: Dataset/10251/162285" target="_blank">http://hdl.handle.net/10251/162285, https://dx.doi.org/10.4995/Dataset/10251/162285
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162285
HANDLE: Dataset/10251/162285" target="_blank">http://hdl.handle.net/10251/162285, https://dx.doi.org/10.4995/Dataset/10251/162285
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162285
PMID: Dataset/10251/162285" target="_blank">http://hdl.handle.net/10251/162285, https://dx.doi.org/10.4995/Dataset/10251/162285
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162285
Ver en: Dataset/10251/162285" target="_blank">http://hdl.handle.net/10251/162285, https://dx.doi.org/10.4995/Dataset/10251/162285
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162285
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162329
Dataset. 2021
DATOS SPECTRUM
- Rodríguez Burruezo, Adrián|||0000-0002-4530-8071
- Gurrea Ysasi, Gonzalo|||0000-0001-5658-1201
- Blanca Giménez, Vicente|||0000-0003-3738-6085
- Fita Fernández, Inmaculada Concepción|||0000-0002-0927-3668
- Fita Fernández, Ana María|||0000-0002-8637-5852
- Prohens Tomás, Jaime|||0000-0003-1181-9065
[ES] Los datos se utilizaron para diseñar curvas de temperatura y humedad
Proyecto: //
DOI: Dataset/10251/162329" target="_blank">http://hdl.handle.net/10251/162329, https://dx.doi.org/10.4995/Dataset/10251/162329
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162329
HANDLE: Dataset/10251/162329" target="_blank">http://hdl.handle.net/10251/162329, https://dx.doi.org/10.4995/Dataset/10251/162329
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162329
PMID: Dataset/10251/162329" target="_blank">http://hdl.handle.net/10251/162329, https://dx.doi.org/10.4995/Dataset/10251/162329
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162329
Ver en: Dataset/10251/162329" target="_blank">http://hdl.handle.net/10251/162329, https://dx.doi.org/10.4995/Dataset/10251/162329
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/162329
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118266
Dataset. 2019
DATASET TWITTER - 2016 UCI TRACK CYCLING WORLD CHAMPIONSHIPS
- Lamirán Palomares, José María
- Baviera Puig, Tomás|||0000-0002-2331-6628
- Baviera Puig, Maria Amparo|||0000-0002-2258-1155
[EN] Social media platforms have had a significant impact on the public image of sports in recent years. Through the relational dynamics of the communication on these networks, many users have emerged whose opinions can exert a great deal of influence on public conversation online. This research aims to identify the influential Twitter users during the 2016 UCI Track Cycling World Championships using different variables which, in turn, represent different dimensions of influence (popularity, activity and authority). Mathematical variables of the social network analysis and variables provided by Twitter and Google are compared. As a result, no single variable assessed is sufficient to identify the different kinds of influential Twitter users. Having a certain type of account is not enough to make a user an influencer if they do not engage (actively or passively) in the conversation. Choosing some influencers or others will depend on the objectives pursued.
Proyecto: //
DOI: Dataset/10251/118266" target="_blank">http://hdl.handle.net/10251/118266, https://dx.doi.org/10.4995/Dataset/10251/118266
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118266
HANDLE: Dataset/10251/118266" target="_blank">http://hdl.handle.net/10251/118266, https://dx.doi.org/10.4995/Dataset/10251/118266
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118266
PMID: Dataset/10251/118266" target="_blank">http://hdl.handle.net/10251/118266, https://dx.doi.org/10.4995/Dataset/10251/118266
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118266
Ver en: Dataset/10251/118266" target="_blank">http://hdl.handle.net/10251/118266, https://dx.doi.org/10.4995/Dataset/10251/118266
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118266
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/169165
Dataset. 2021
DATASET FOR DISPERSAL OF NEOPHILAENUS CAMPESTRIS, A VECTOR OF XYLELLA FASTIDIOSA
- Lago, Clara
- Morent, Marina
- de las Heras Bravo, Daniel
- Martí Campoy, Antonio|||0000-0002-6009-8703
- Rodríguez Ballester, Francisco|||0000-0002-4087-5077
- Plaza, María
- Moreno, Aranzazu
- Fereres, Alberto
Dataset from outdoor mass-mark-recaptures and indoor flight mill experiments in order to study the dispersal capability Neophilaenus campestris, a vector of Xylella fastidiosa.
DOI: Dataset/10251/169165" target="_blank">http://hdl.handle.net/10251/169165, https://dx.doi.org/10.4995/Dataset/10251/169165
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/169165
HANDLE: Dataset/10251/169165" target="_blank">http://hdl.handle.net/10251/169165, https://dx.doi.org/10.4995/Dataset/10251/169165
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/169165
PMID: Dataset/10251/169165" target="_blank">http://hdl.handle.net/10251/169165, https://dx.doi.org/10.4995/Dataset/10251/169165
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/169165
Ver en: Dataset/10251/169165" target="_blank">http://hdl.handle.net/10251/169165, https://dx.doi.org/10.4995/Dataset/10251/169165
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/169165
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310
Dataset. 2021
BIOMIMETIC 3D ENVIRONMENT BASED ON MICROGELS AS A MODEL FOR THE GENERATION OF DRUG RESISTANCE IN MULTIPLE MYELOMA
- Marin Paya, Juan Carlos
- Díaz Benito, Blanca
- Amaro Martins, Luis
- Clara Trujillo, Sandra
- Cordón, Lourdes
- Lanceros-Mendez, Senentxu
- Gallego Ferrer, Gloria|||0000-0002-2428-0903
- Sempere, Amparo
- Gómez Ribelles, José Luís|||0000-0001-9099-0885
The development of three-dimensional environments to mimic the in vivo cellular response is a problem in the building of disease models. This study aimed to synthesize and validate three-dimensional support for culturing monoclonal plasma cells (mPCs) as a disease model for multiple myeloma. The three-dimensional environment is a biomimetic microgel formed by alginate microspheres and produced on a microfluidic device whose surface has been functionalized by a layer-by-layer process with components of the bone marrow’s extracellular matrix, which will interact with mPC. As a proof of concept, RPMI 8226 cell line cells were cultured in our 3D culture platform. We proved that hyaluronic acid significantly increased cell proliferation and corroborated its role in inducing resistance to dexamethasone. Despite collagen type I having no effect on proliferation, it generated significant resistance to dexamethasone. Additionally, it was evidenced that both biomolecules were unable to induce resistance to bortezomib. These results validate the functionalized microgels as a 3D culture system that emulates the interaction between tumoral cells and the bone marrow extracellular matrix. This 3D environment could be a valuable culture system to test antitumoral drugs efficiency in multiple myeloma.
DOI: Dataset/10251/178310" target="_blank">http://hdl.handle.net/10251/178310, https://dx.doi.org/10.4995/Dataset/10251/178310
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310
HANDLE: Dataset/10251/178310" target="_blank">http://hdl.handle.net/10251/178310, https://dx.doi.org/10.4995/Dataset/10251/178310
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310
PMID: Dataset/10251/178310" target="_blank">http://hdl.handle.net/10251/178310, https://dx.doi.org/10.4995/Dataset/10251/178310
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310
Ver en: Dataset/10251/178310" target="_blank">http://hdl.handle.net/10251/178310, https://dx.doi.org/10.4995/Dataset/10251/178310
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/178310
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