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Absell-Federico-Tena World Trade Historical Database 1948-2020 : Republic of North Macedonia
Project developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Republic of North Macedoni
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Kazakhstan
Project developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Kazakhsta
Aprendizaje ubicuo de los nuevos aprendices y brecha digital formativa
El libro ha sido elaborado en gran parte con los resultados de una investigación realizada en el marco y con la ayuda evaluadora y económica del proyecto público y competitivo de la convocatoria 2010. Referencia:EDU 2010-17420 (subprograma educ) titulado aprendizaje ubicuo con dispositivos móviles: elaboración y desarrollo de un mapa de competencias en educación superior y del que fueron miembros investigadores la totalidad de autores del libro.En este artículo se extractan los resultados más relevantes del proyecto I+D MICINN
EDU 2010-17420 que versan sobre los lugares en los que algunos estudiantes universitarios utilizan, con fines formativos, un conjunto de dispositivos móviles para desarrollar una nueva modalidad de aprendizaje: el
aprendizaje ubicuo o u-learningThis study aims to show a global and general map of the scientific production related to group parental education programs
Communicating science with scientific rigour. Results of teaching innovation from critical digital literacy
The evaluation of the impact of the PBL project on students was statistically analysed (chi-square; c2) through the results obtained in voluntary and anonymous surveys conducted in two modalities: online and face-to-face
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Ethiopia
Project developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Ethiopi
Experimental data of brazilian tests with loading arcs on concrete discs: force of the universal testing machine and deformation of the strain gauges in the loading arc.
The seven TXT files cointain the information related to the concrete discs tested for the paper indicated in "RELATED PUBLICATIONS" of this file (https://doi.org/10.1016/j.ijrmms.2020.104380). The names of the files coincide with the disc numbers indicated in the table 4 of the mentionned article. The gauges are numbered from left to right as 1,2,3,4 and 5 respectively (see figures 2 and 3). The dimensions of the discs are described in the table 1 of the article and their composition is indicated in the part "2.1 Material
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Mozambique
Project developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Mozambiqu
Conductas deshonestas: ¿se juzga a los otros como a uno mismo?
La trampa, el engaño y el plagio son conductas deshonestas. Con el objetivo de llegar a resultados sobre la sensibilidad de los universitarios hacia la comisión de acciones deshonestas, tanto propias como cometidas por terceros, se construyó una base de datos a partir de las respuestas de 659 estudiantes de universidad en Madrid. Para evaluar el juicio ético se preguntó sobre la intensidad de la acción deshonesta (pasar del pensamiento a la acción), la gravedad de la acción y cuan reprochable es si la realiza un tercero. Las metodologías estadísticas multivariantes utilizadas son el análisis clúster de K-medias, el análisis discriminante lineal y el estudio de correlaciones sobre proporciones. Los resultados señalan que: i) metodológicamente es posible clasificar a los individuos según distintos perfiles conforme al nivel de gravedad del juicio y la tendencia a cometer acciones deshonestas, y ii) los individuos más deshonestos son más comprensivos con la deshonestidad de terceros y, por el contrario, cuanto más honestos, menos tolerantes son con la deshonestidad de otros.Cheating, deception, and plagiarism are dishonest behaviors. To gather results on the sensitivity of university students towards both self-committed and observed dishonest actions, a database was created based on the responses of 659 university students in Madrid. A set of questions are posed to evaluate ethical judgment surrounding the act of transitioning from thought to action, the severity of the act, and the degree of blame if executed by a third party. The study employed multivariate statistic methodologies, including K-means cluster analysis, linear discriminant analysis, and correlation analysis on proportions. The results indicate that: i) it is possible to classify individuals into different profiles based on the severity of their judgment and their tendency to commit dishonest actions, using a methodological approach, and ii) the more individuals are likely to carry out dishonest actions, the more benevolently they judge those committed by others
Interview in Spain 9
The reemergence of China is changing the world, and that EU needs to develop a long-term approach based on research-based knowledge in order to engage strategically with an increasingly assertive China.
This dataset consists of a semi-structured interview with a person of Chinese nationality, carried out in Chinese and transcribed in Chinese language.</p
Detecting Serial Arcs in Aeronautical Applications Using Inductive Sensors
Three sets of .mat (Matlab) files with three samples of arcs in each of them. The data are the output of an inductive sensor with a gain of 3 V/A sampled at 20 MSps. The time vector can be constructed with the sampling frequency and the number of samples.
Set1. Serial arcs over a resistive load and a DC current of 10 A (Arc_10A_Samplen.mat)
Set2. Serial arcs over a resistive load and a DC current of 10 A. Long transmission line (ArcLongCable_10A_Samplen.mat)
Set3. Serial arcs over a resistive and inductive load and a DC current of 10 A. Long transmission line (ArcRL_10A_Samplen.mat