Resultados de investigación

Este archivo incluye una base de datos con los tweets publicados sobre balcones durante el confinamiento domiciliario de 2020, el código utilizado para la extracción de tweets y generación de la base de datos, y el código utilizado para el análisis mediante técnicas de procesamiento natural del lenguaje. Es parte de los resultados del artículo: Mesa-Pedrazas, Á., Nogueras-Zondag, R., & Duque-Calvache, R. (2023). The new town square: Twitter discourses about balconies during the 2020 lockdown in Spain. Cities, 143, 104595. [https://doi.org/10.1016/j.cities.2023.104595], Estos resultados son parte del proyecto Multi-methodological Approach to Residential Behaviour and Everyday Life, MARBEL (PID2020-119569GA-I00). Financiado por el Ministerio de Ciencia e Innovación, Gobierno de España.

Base de datos de la Encuesta de Empleo del Tiempo 2010 y de la Encuesta de Estructura Salarial, En formato Stata. Database of Time Use Survey 2010 (TUS_2010) and Wages Survey (WS_2018). Stata format.

Corresponding author: Dr. Sergio Cantero Chinchilla. sergio.canterochinchilla@bristol.ac.uk // scanteroch@gmail.com Involved institutions: University of Nottingham (UK), University of the Basque Country (ES), Technological Institute of Aragón (ES), University of Granada (ES)., Ultrasonic guided-wave test data taken from a fatigue test experiment over a notched aluminium plate. Data summary.- Ultrasonic guided-wave test data: Frequency of excitation: 300 kHz (radial mode of vibration) Shape: sinusoid of 4 cycles Amplitude: 45 Vpp Sampling frequency: 60 kHz Fatigue test data.- Load type: Tension-Tension (using Instron 8850 servo-hydraulic fatigue testing machine) Minimum load: 1kN Maximum load: 10kN Frequency: 6Hz Number of cycles: 100 000 Specimen information.- Aluminum plate Alloy: QQA250/5 ‘O’ 2024 Dimensions: 245mm x 500mm x 1mm Central notch length: 22.5mm (centered with respect to the test sample centerline and machined using a laser cutting procedure) Further description.- The fatigue test has been performed using a middle tension [M(T)] specimen with a centered crack and loaded in tension using a positive loading ratio. A fatigue pre-cracking procedure was applied to develop a fresh and straight crack front to mitigate the effect of the machined started notch. The detection and monitoring of the crack onset and growth was carried out using two phased-arrays of six piezoelectric wafer active sensors (PWAS), one set as transmitter, the other as receiver. Piezoelectric ceramic disc transducers of 7mm diameter and 0.5mm thickness have been used in this fatigue test. They PWAS were placed symmetrically with regards to the sample centerline and bonded to the aluminum surface using a 3M Scotch-Weld DP490 epoxy adhesive (TradeMarks). File naming convention: “P_AL_S01_BF6.mat” or “P_AL_S01_BF6_XXX.mat” with XXX=1000, 2000, 3000, 100 000; P stands for Plate; AL stands for Aluminum; S01 stands for specimen 01; BF6 stands for Beamforming using 6 transducers; XXX are the number of cycles at which the fatigue test stopped and the ultrasonic guided-wave tests were performed (every 1000 fatigue cycle). Note 1: The file “P_AL_S01_BF6.mat” contains the data with the structure in pristine state. Note 2: The files “P_AL_S01_BF6_XXX.mat” contains the data after XXX fatigue cycles. Further details about the internal data structure of the MAT-files included within the Readme file within the dataset.

Metabolic reprogramming of cancer cells represents an orchestrated network of evolving molecular and functional adaptations during oncogenic progression. In particular, how metabolic reprogramming is orchestrated in breast cancer and its decisive role in the oncogenic process and tumor evolving adaptations are well consolidated at the molecular level. Nevertheless, potential correlations between functional metabolic features and breast cancer clinical classification still represent issues that have not been fully studied to date. Accordingly, we aimed to investigate whether breast cancer cell models representative of each clinical subtype might display different metabolic phenotypes that correlate with current clinical classifications. In the present work, functional metabolic profiling was performed for breast cancer cell models representative of each clinical subtype based on the combination of enzyme inhibitors for key metabolic pathways, and isotope-labeled tracing dynamic analysis. The results indicated the main metabolic phenotypes, so-called ‘metabophenotypes’, in terms of their dependency on glycolytic metabolism or their reliance on mitochondrial oxidative metabolism. The results showed that breast cancer cell subtypes display different metabophenotypes. Importantly, these metabophenotypes are clearly correlated with the current clinical classifications., Funding: This research, including APC charges, was funded by the Spanish Agencia Estatal de Investigación (Ministry of Science and Innovation) and the European Regional Development Fund [grant numbers CTQ2014-56370-R and CTQ2017-85658-R]; the Fundación Ramón Areces; and the initiative Solidaridad Entre Montañas.

Dataset of the paper "On the need of a unified methodology for processing Schumann resonance measurements" published in JGR Atmospheres.

This work was supported by grant CTQ2017–85658-R funded by MCIN/AEI/10.13039/501100011033/ FEDER “Una manera de hacer Europa” and grants PID2019–104366RB-C22 and PID2020–114256RBI00 funded by MCIN/AEI/10.13039/501100011033

Bases de datos de tesis doctorales europeas en educación defendidas entre 1700 y 1900

Database used for the research entitled Computational Thinking and Programming with Arduino in Education: A Systematic Review for Secondary Education. The development of programming skills and computational thinking in the formal educational context is one of the most recent horizons set by many educational systems worldwide. Although the first computational thinking initiatives are being applied from the earliest school ages, this research focuses on the secondary education level. Specifically, the objective is the following: to analyse the implementation of Arduino, as well as the benefits and opportunities it brings to secondary school students. For this purpose, documentary research has been undertaken applying a systematic review according to the PRISMA 2020 framework following the PiCoS strategy. Atlas.ti 9 was used to analyse the information. Out of 316 papers identified, 37 were included in the research. In relation to the results, Arduino is primarily used in technology and physics subjects, although it is also used to develop interdisciplinary STEAM projects. As a rule, it is used to learn programming languages, but likewise as a resource to develop science experiments. LED lights, servomotors and breadboards are among the most commonly used resources together with the Arduino board. and Scratch was the most widely used software. The initiatives implemented have yielded both positive and negative results, for example, one drawback is that some projects are very difficult, and some achievements such as: increased motivation towards the contents addressed or also the development of some soft skills, such as problem solving., Grupo de Investigación EducaTech-XXI "Educación y Tecnología para el siglo XXI" (SEJ-666)