Resultados totales (Incluyendo duplicados): 319
Encontrada(s) 32 página(s)
Docusalut
oai:docusalut.com:20.500.13003/20246
Dataset. 2024

HANDLE SYSTEM AND METRICS IN LATIN AMERICAN REPOSITORIES [DATASET]

  • Reyes-Lillo, Danilo
  • Pastor-Ramon, Elena

Proyecto: //
DOI: https://hdl.handle.net/20.500.13003/20246
Docusalut
oai:docusalut.com:20.500.13003/20246
HANDLE: https://hdl.handle.net/20.500.13003/20246
Docusalut
oai:docusalut.com:20.500.13003/20246
PMID: https://hdl.handle.net/20.500.13003/20246
Docusalut
oai:docusalut.com:20.500.13003/20246
Ver en: https://hdl.handle.net/20.500.13003/20246
Docusalut
oai:docusalut.com:20.500.13003/20246

Docusalut
oai:docusalut.com:20.500.13003/20064
Dataset. 2023

PERSONAL PROTECTIVE MEASURES AND SETTINGS ON THE RISK OF SARS-COV-2 COMMUNITY TRANSMISSION: A CASE–CONTROL STUDY [DATASET]

  • Huguet-Torres, Aina
  • Castro-Sánchez, Enrique
  • Capitán-Moyano, Laura
  • Sánchez-Rodríguez, Cristian
  • Bennasar-Veny, Miquel
  • Yáñez, Aina Maria

Proyecto: //
DOI: https://hdl.handle.net/20.500.13003/20064
Docusalut
oai:docusalut.com:20.500.13003/20064
HANDLE: https://hdl.handle.net/20.500.13003/20064
Docusalut
oai:docusalut.com:20.500.13003/20064
PMID: https://hdl.handle.net/20.500.13003/20064
Docusalut
oai:docusalut.com:20.500.13003/20064
Ver en: https://hdl.handle.net/20.500.13003/20064
Docusalut
oai:docusalut.com:20.500.13003/20064

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/186769
Dataset. 2022

THE EUREKALERT! PROJECT: DATASET OF MENTIONS TO PRESS RELEASES

  • Orduña Malea, Enrique
  • Costas, Rodrigo
This dataset includes the raw data used to carry out a long-term study on press releases from Eurekalert! The file includes python scripts used to capture web-based data, supplementary material, and raw data from Twitter and the web-at-large.

Proyecto: //
DOI: https://riunet.upv.es/handle/10251/186769
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/186769
HANDLE: https://riunet.upv.es/handle/10251/186769
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/186769
PMID: https://riunet.upv.es/handle/10251/186769
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/186769
Ver en: https://riunet.upv.es/handle/10251/186769
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/186769

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/161642
Dataset. 2021

DATA OF A NOVEL MILP MODEL FOR THE PRODUCTION, LOT-SIZING AND SCHEDULING OF AUTOMOTIVE PLASTIC COMPONENTS ON PARALLEL FLEXIBLE INJECTION MACHINES

  • Andrés Navarro, Beatriz
  • Poler Escoto, Raúl
  • Guzmán Ortiz, Brunnel Eduardo
[EN] The data set contains the input/output data that was entered into the mathematical model to develop the case study. The data is synthetically generated and developed with an algorithm encoded in Python 3.7, the parameters for programming the algorithm are based on real data from a company in the automotive sector and the values have been structured according to the indices defined in the model. Input/output data details have been added to make the model replicable., This work was supported by the Conselleria de Educación, Investigación, Cultura y Deporte - Generalitat Valenciana for hiring predoctoral research staff with Grant (ACIF/2018/170) and European Social Fund with Grant Operational Program of FSE 2014-2020, the Valencian Community, and the authors would like to acknowledge the support of the researchers participating in the collaborative projects ‘Cloud Collaborative Manufacturing Networks’ (C2NET) (http://c2net-project.eu/), which has received funding from the EU Horizon 2020 Research and Innovation Programme with grant agreement No. 636909. “Zero Defects Manufacturing Platform” (ZDMP) (www.zdmp.eu) which has received funding from the EU Horizon 2020 Research and Innovation Programme with grant agreement No. 825631

DOI: https://riunet.upv.es/handle/10251/161642
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/161642
HANDLE: https://riunet.upv.es/handle/10251/161642
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/161642
PMID: https://riunet.upv.es/handle/10251/161642
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/161642
Ver en: https://riunet.upv.es/handle/10251/161642
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/161642

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214220
Dataset. 2025

SOCIAL-PROBLEMS DATASETS OF TWEETS [DATASET]

  • Periñán Pascual, José Carlos
  • Felices Lago, Ángel
  • Jiménez Briones, Rocío
  • Ureña Gómez-Moreno, Pedro
  • Alameda Hernández, Ángela
Datasets of English and Spanish tweets used in the project "ALLEGRO: Smart multi-modal crowdsensing-based system as a service oriented to the prediction of social problems". Tweets in each dataset were manually tagged according to a specific social problem: Black Economy, Institutional Elder Abuse, Student Dropout, and Violence Against Women., Este database es parte del proyecto de I+D+i PID2020-112827GB-I00 financiado por MICIU/AEI/10.13039/501100011033.

Proyecto: //
DOI: https://riunet.upv.es/handle/10251/214220
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214220
HANDLE: https://riunet.upv.es/handle/10251/214220
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214220
PMID: https://riunet.upv.es/handle/10251/214220
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214220
Ver en: https://riunet.upv.es/handle/10251/214220
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214220

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/196293
Dataset. 2023

EXPERIMENTAL ANALYSIS OF PROPELLER THRUST DATASETS

  • Gómez Tejedor, José Antonio
  • Riera Guasp, Jaime
  • Blasco-Pérez, Eduard
The data were used to analyze the thrust produced by a propeller, whose operating principles are based on the conservation of linear momentum. The study was carried out on an air track to avoid frictional forces. Several system characteristics were established, such as the angle of attack and different magnitudes were determined, including the dynamic thrust. 3D CAD software was used to design the propellers for the experiments. As propulsive systems are challenging for undergraduates to understand, it is essential to design experiments that can help their visualization and testing. The development of digital technology (high-speed cameras, digital tracking software, or 3D printers) facilitates the implementation of such designs., We would like to thank the Instituto de Ciencias de la Educación (ICE) in the Universitat Politècnica de València for their help, through the Innovation and Educational Quality Program and for supporting the team Innovación en Metodologías Activas para el Aprendizaje de la Física (e-MACAFI). This work has been supported by the UPV through the Project of Innovation and Educational Improvement Program (Projects PIME/18-19/76 and PIME/22-23/309 Convocatoria de Proyectos de Innovación y Convergencia de la UPV).

DOI: https://riunet.upv.es/handle/10251/196293
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/196293
HANDLE: https://riunet.upv.es/handle/10251/196293
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/196293
PMID: https://riunet.upv.es/handle/10251/196293
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/196293
Ver en: https://riunet.upv.es/handle/10251/196293
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/196293

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118336
Dataset. 2019

CONTROL-ORIENTED MODELING OF THE COOLING PROCESS OF A PEMFC-BASED Μ-CHP SYSTEM

  • Simarro Fernández, Raúl
  • Blasco Ferragud, Francesc Xavier
  • Herrero Durá, Juan Manuel
  • Navarro Giménez, Santiago
Here you will find a model of the cooling system of a PEMFC-based micro-CHP system. This model is implemented in Matlab/Simulink, version 9.3.0.713579 (R2017b). The model and the tests conducted for its development are described in detail in the following paper: Title: Control-Oriented Modeling of the Cooling Process of a PEMFC-Based micro-CHP System Authors: SANTIAGO NAVARRO GIMÉNEZ, JUAN MANUEL HERRERO DURÁ, FRANCESC XAVIER BLASCO FERRAGUD and RAÚL SIMARRO FERNÁNDEZ. Instituto Universitario de Automática e Informática Industrial Universidad Politécnica de Valencia In this folder (uCHP_Cooling_System), you will find the following files: Complete_Model_M.slx Complete_Model_V.slx Filter.m Modeling_Test.mat Parameters.mat S_Complete_Model_M.m S_Complete_Model_V.m Validation_Test.mat In both Complete_Model_M.slx and Complete_Model_V.slx you will find the implementation of the complete model in Simulink. The only difference between them is that the former is prepared for the data set from the modeling test (Modeling_Test.mat) and the latter for the data set from the modeling test (Validation_Test.mat). In order to launch the simulations, you have to run the scripts S_Complete_Model_M.m and S_Complete_Model_V.m, respectively. The file Parameters.mat contain the values of the parameters of the model. The file Filter.m is just a filter, which is used in both scripts. Please, read the comments in the scripts mentioned for more information. Thanks.

DOI: https://riunet.upv.es/handle/10251/118336
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118336
HANDLE: https://riunet.upv.es/handle/10251/118336
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118336
PMID: https://riunet.upv.es/handle/10251/118336
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118336
Ver en: https://riunet.upv.es/handle/10251/118336
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/118336

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/221455
Dataset. 2025

POLLEN24_SP_DATASET

  • Valiente González, José Miguel
  • Escriche Roberto, Mª Isabel
  • Martín Osuna, Juan José
  • Peral Pinto, Ana María
[EN] A comprehensive dataset of pollen images has been constructed. This Ground Truth termed POLLEN24_SP, comprised 32.285 pollen/particle images (captured by an expert using optical microscopy) and covers the 24 most prevalent types of pollen grains found in Spanish honeys. Twelve different pre-existing Convolutional Neural Networks (CNN) were evaluated in order to discern the relative frequencies of different pollen types, including our new proposals PolleNetV2 and PollenNetV2.mobile., This research was funded by the Next Generation European Union and the Plan de Recuperación, Transformación y Resiliencia of the Spanish Government, with the support of Generalitat Valenciana (project AGROALNEXT/2022/043)

DOI: https://riunet.upv.es/handle/10251/221455
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/221455
HANDLE: https://riunet.upv.es/handle/10251/221455
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/221455
PMID: https://riunet.upv.es/handle/10251/221455
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/221455
Ver en: https://riunet.upv.es/handle/10251/221455
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/221455

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/194199
Dataset. 2023

RGB AND MULTISPECTRAL POINT CLOUDS OF THE SIERRA CALDERONA NATURAL PARK

  • Carbonell Rivera, Juan Pedro
  • Torralba Pérez, Jesús
  • Crespo Peremarch, Pablo
  • Ruiz Fernández, Luis Ángel
This dataset contains RGB and multispectral point clouds of the Sierra Calderona Natural Park, obtained by UAV digital aerial photogrammetry., Grants BES-2017-081920 and PID2020-117808RB-C21 funded by MCIN/AEI/10.13039/501100011033 and by ESF Investing in your future.

DOI: https://riunet.upv.es/handle/10251/194199
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/194199
HANDLE: https://riunet.upv.es/handle/10251/194199
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/194199
PMID: https://riunet.upv.es/handle/10251/194199
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/194199
Ver en: https://riunet.upv.es/handle/10251/194199
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/194199

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/163221
Dataset. 2021

DATABASE OF THE ROUND-ROBIN TEST ON CREEP BEHAVIOUR IN CRACKED SECTIONS OF FIBRE REINFORCED CONCRETE ORGANISED BY THE RILEM TECHNICAL COMMITTEE 261-CCF

  • Llano Torre, Aitor
  • Cavalaro, Sergio
  • Kusterle, Wolfgang
  • Moro, Sandro
  • Zerbino, Raúl L.
  • Gettu, Ravindra
  • Pauwels, Hans
  • Nishiwaki, Tomoya
  • Parmentier, Benoît
  • Buratti, Nicola
  • Toledo Filho, Romildo D.
  • Charron, Jean-Philippe
  • Larive, Catherine
  • Boshoff, William P.
  • Bernard, E. Stefan
  • Kompatscher, Michael
  • Serna Ros, Pedro
[EN] The RILEM Technical Committee 261-CCF launched in 2015 an international Round-Robin Test (RRT) program to improve the knowledge on the long-term behaviour of cracked Fibre Reinforced Concrete (FRC) sections and assess all the different testing methodologies available. The participation of 19 international laboratories performing creep test following different methodologies in compliance with previously agreed conditions contributed to the success of the RRT. A convention regarding the data collection during the RRT was established to simplify the analysis of results. The RRT provided an extensive database of results from tests performed according to similar procedures and conditions agreed beforehand by the participants. More than 150 parameters and variables were defined and registered during the RRT realisation for each specimen. The long-term tests performed on 124 specimens for one year following four main creep methodologies provided a huge database with more than 15000 data. The analysis of this RRT should support the future proposal of standard test procedures and conditions, defining common criteria for future experimental programs for each test method as well as validation of models to consider creep in the design of FRC structures. The database of the RRT is offered open access to the scientific community as supplementary material of the Round-Robin Test State-of-the-Art Report published by Springer in the RILEM State-of-the-Art Reports series to improve the global knowledge in the long-term deformations of the cracked FRC specimens., This Round-Robin Test (RRT) has been supported by the fibre suppliers Master Builders Solutions (BASF), BEKAERT and ArcelorMittal Fibres. The RRT organizers wish to thank their financial support in the fabrication and delivery of the specimens all over the world. The RRT organizers gratefully thank to the following institutions their participation on this international experimental programme: Universitat Politècnica de València UPV, Universitat Politècnica de Catalunya UPC, OTH Regensburg, Master Builders Solutions (BASF), LEMIT-CIC and Facultad de Ingeniería UNLP, Indian Institute of Technology Madras IITM, NV BEKAERT SA, Tohoku University, ArcelorMittal Fibres, BBRI Belgium Building Research Institute, University of Bologna, Universidade Federal de Rio de Janeiro, École Polytechnique de Montréal, Politecnico di Milano, Sigma Béton, CETU Centre for Tunnel Studies, MEDDE, Stellenbosch University, TSE Technologies in Structural Engineering and VSH VersuchsStollen Hagerbach. The contribution of all TC members and external attendees during both face-to-face and on-line meetings as well as their proposals for the RRT experimental program, their contribution in both the book and the database, and the review of the many drafts of this database is greatly acknowledge. Last but not least, the TC chairman wish to thank to the RILEM Association their guidance during the Technical Committee lifetime and their support for the publication of the different works authored by the TC.

Proyecto: //
DOI: https://riunet.upv.es/handle/10251/163221
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/163221
HANDLE: https://riunet.upv.es/handle/10251/163221
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/163221
PMID: https://riunet.upv.es/handle/10251/163221
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/163221
Ver en: https://riunet.upv.es/handle/10251/163221
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/163221

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