BUSCADOR RECOLECTA

[ES] Los datos se utilizaron para diseñar curvas de temperatura y humedad

[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

[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.

This repository contains the code used to generate the male and female population of models and simulate the different pharmacokinetic scenarios in Llopis-Lorente et al. (2023). Combining pharmacokinetic and electrophysiological models for early prediction of drug-induced arrhythmogenicity

[EN] Microplastics and nanoplastics have arisen as contaminants of emerging concern due to the wide use of plastics, and the application of boron-doped diamond (BDD) electrodes for their removal is promising. In this study, we report the influence of BDD doping levels (500, 2500, and 10000 ppm B doping) on the electrooxidation of polystyrene nanoplastics (100 nm, 20 mg⋅L-1). Different current densities (50, 25, 12.5, and 5 mA⋅cm-2) have been applied to determine the best electrolysis conditions for each electrode type. In addition, hydroxyl radical (•OH), persulphate (S2O82-), and hydrogen peroxide (H2O2) reactive species have been determined to understand the influence of the species generated on the degradation of NPs. BDD500 electrode presents the fastest degradation of PS NPs at low current densities (12.5 and 5 mA⋅cm-2), BDD2500 at 25 mA⋅cm-2, and BDD10000 at 50 mA⋅cm-2. Among oxidative species determined, S2O82- is the one generated with the highest concentration and seems to command the degradation of PS NPs, since at 25, 12.5, and 5 mA⋅cm-2, the electrodes that produce more S2O82- degrade faster PS NPs. At 50 mA⋅cm-2, the differences between the different electrodes were minimal. The highest mineralization (as measured by non-purgeable organic carbon measurements) was obtained for BDD500 at 50, 25, and 12.5 mA⋅cm-2, and BDD2500 at 5 mA⋅cm-2., This research is part of the Spanish R +D +i contract TED2021-130905B-I00 funded by MCIN/AEI /10.13039/501100011033 and by the European Union NextGenerationEU/PRTR as well as the Red E3Tech Plus: Proyecto Redes de Investigación de la AEI Network E3Tech PLUS (RED2022-134552-T) project. Funding for open access charge: CRUE- Universitat Politècnica de València. The Electron Microscopy Service of the UPV (Universitat Politècnica de València) is gratefully acknowledged for help with TEM and FESEM characterization.

Novel standardised data model for collaborative manufacturing environments (CMData), building a taxonomy of data concepts to represent information related to the replenishment, production and delivery planning domains, The authors would like to acknowledge the support of the researchers participating in the collaborative projects “Cloud Collaborative Manufacturing Network” (C2NET) (www.c2net-project.eu) and “Zero Defects Manufacturing Platform” (ZDMP) (www.zdmp.eu).

Multiple myeloma is a hematologic neoplasm caused by an uncontrolled clonal proliferation of neoplastic plasma cells (nPCs) in the bone marrow. The development and survival of this disease is tightly related to the bone marrow environment. Proliferation and viability of nPCs depend on their interaction with the stromal cells and the extracellular matrix components, which also influences the appearance of drug resistance. Recapitulating these interactions in an in vitro culture requires 3D environments that incorporate the biomolecules of interest. In this work, we studied the proliferation and viability of three multiple myeloma cell lines in a microgel consisting of biostable microspheres with fibronectin (FN) on their surfaces. We also showed that the interaction of the RPMI8226 cell line with FN induced cell arrest in the G0/G1 cell cycle phase. RPMI8226 cells developed a significant resistance to dexamethasone, which was reduced when they were treated with dexamethasone and bortezomib in combination., CIBER-BBN is an initiative funded by the VI National R&D&I Plan 2008–2011, Iniciativa Ingenio 2010, and Consolider Program. CIBER Actions were financed by the Instituto de Salud Carlos III, with assistance from the European Regional Development Fund. The kind supplying of RPMI 8226 cells by Beatriz Martin (Josep Carreras Leukaemia Research Institute) is greatly acknowledged. The Microscopy Service of the UPV (Universitat Politècnica de València) is gratefully acknowledged.

This dataset includes the raw data used to conduct a Twitch case study. The dataset includes the metrics collected from Twitch API to characterize a specific channel (NASA), the bibliographic data collected from bibliographic databases to systematically review the literature about Twitch, supplementary material, and the scripts used to collect data from Twitch API.

Sustainability website indicators after scraping the websites of textile companies in the Comunitat Valencia region.

[EN] The dataset contains information on citrus fruit prices and varieties across different provinces in the Comunitat Valenciana, Spain, over multiple seasons (2015-2016 to 2023-2024 seasons). It includes various statistical indicators derived from weekly price observations. The data aims to support agricultural market analysis, price forecasting, and clustering methodology research., Authors acknowledge the support of “Ayuda a Primeros Proyectos de Investigación (PAID-06-22), Vicerrectorado de Investigación de la Universitat Politècnica de València (UPV)”.