Resultados de investigación

Fruta y árboles frutales. Injertos de árboles y viña. Fabricación del vino. Hierbas y plantas espontáneas. Había vino en todas las casas; tenían muchas viñas., Árvores de fruta e fruta. Enxertos de árvores e vinhas. Fabricação de vinho. Ervas e plantas espontâneas. Havia vinho em cada casa; tinham muitas vinhas., Fruit and fruit trees. Grafts of trees and vines. Manufacture of wine. Herbs and spontaneous plants. There was wine in every house; they had many vineyards.

Computational Thinking (CT) can be defined as the thought processes involved in formulating problems so that their solutions can be represented as sequential steps and algorithms. It is a key skill for children in the 21st century. However, it is unclear how CT can be developed most effectively in children. Several pedagogical methodologies have been proposed and are being investigated. The main aim of this paper is to test the hypothesis which states that using three-dimensional (3D) simulated robots helps in the learning of programming and CT concepts, such as directions, loops, conditionals, and functions. The research questions are: Does this hypothesis hold true? Are some concepts easier or better learned than others and to what extent? The goal is to measure and evaluate the effect of using as a learning tool a platform with 3D simulated robots and realistic physics, and compare it with the standard Scratch learning tool which does not use robotics but a two-dimensional (2D) cartoon avatar they are already familiar with. For practical reasons, a quasiexperimental design with nonequivalent groups and 85 second-year Secondary Education students (ages 12–13) was performed. They were separated into control and experimental groups and followed a seven-session intervention with the baseline 2D Scratch and the 3D simulated robots platform, respectively. Both used a visual block programming language and the same activities. To have quantitative and reliable results, a widely accepted CT test has been used, pre- and postintervention. Also qualitative feedback is presented. The obtained results show that using the platform with simulated 3D robots significantly helps when developing students' CT. With it, the students do learn basic programming concepts and reach higher scores in the CT test. This improvement applies to all CT-analyzed concepts except in functions where the grades are maintained. Furthermore, students manage to master the activities on the 3D simulated robots platform, which reflects on the empowerment the platform has got in them. The dependent variables (DV) of the pre- and posttest are, first, related to learning results as measured with a validated CT questionnaire. This questionnaire contains 28 items. For simplification purposes, pre- and posttest variables are rescaled from 0 to 10. Second, four dependent variables are related to the different computational concepts involved in the experiment: Directions, Loops, Conditionals, and Functions. In a more detailed study, new variables appear, with the aim of giving more information: Loops-Repeat-times, Loops-Repeat-until, Conditionals-Simple, Conditionals-Composite, Conditionals-While, and Functions-Simple. All of them scored from 0 to 10. One factor, Group, is considered to be an independent variable, related to the use or not of Kibotics. Type Variable Name DV Pretest scores Pretest DV Posttest scores Posttest DV Direction Direct DV Loops Loops DV Conditionals Condit DV Functions Function DV Loops-Repeat-times Loops_t DV Loops-Repeat-until Loops_u DV Conditional-simple Condit_s DV Conditional-composite Condit_c DV Conditional-while Condit_w IV Use of 3dsimulated robot Group

Las relaciones con Portugal son buenas. La informante tiene familia allí. Antes venía mucho la juventud portuguesa. Antes había bastante contrabando, fue cambiando a lo largo de la historia. El portugués de la aldea y sus diferencias con el de Portugal. Usos lingüísticos cuando se desplazan al país vecino. Los jóvenes ya no hablan portugués. Mucha gente tiene antepasados portugueses., As relações com Portugal são boas. O informante tem lá família. A juventude portuguesa costumava vir aqui muitas vezes. Costumava haver muito contrabando, que mudou ao longo da história. O português da aldeia e as suas diferenças com o português de Portugal. Usos linguísticos quando se deslocam para o país vizinho. Os jovens já não falam português. Muitas pessoas têm antepassados portugueses., Relations with Portugal are good. The informant has family there. Portuguese youth used to come here a lot. There used to be a lot of smuggling, it changed throughout history. The Portuguese of the village and its differences with that of Portugal. Linguistic usage when they move to the neighbouring country. Young people no longer speak Portuguese. Many people have Portuguese ancestors.

Metagenomic study of environmental samples collected at a pig farm in Spain. This study is part of the HE-FARM project under the Horizon Europe programme, which aims to improve biosecurity on farms.

Bacterial genera present in several areas of a pig farm were analyzed using high-throughput sequencing techniques. Samples were collected from the skin and feces of animals, as well as from surfaces, water, and air. The analyses revealed a strong cor-relation between air and skin samples, supporting the idea that bacterial growth on skin is potentially a mechanism of aerosolization and airborne transport. A water–air trans-mission route also appears to be present, although the direction of the transport mecha-nism cannot yet be determined. Other potential routes, such as contact with surfaces or feces, seem to be less efficient.

This data contains the raw data used for metagenomic analyses (16S) of environmental samples in a pig farm.

It includes the genomic data for each sample analyzed and compared in the study titled 'Skin Aerosolisation Predominance in a Pig Farm'. The data is organized in a way that facilitates further exploration and analysis, ensuring that researchers can effectively utilize it for their own studies.

Las fiestas de Valverde. El San Blas. Traje típico. Fiestas de agosto y otras fiestas que se perdieron (San Antonio). Fiestas de cada uno de los tres lugares, y fiestas conjuntas (romería del Espíritu Santo). Debate sobre la antigüedad y “tradición” de algunas fiestas., As festas de Valverde. O San Blas. Traje típico. Festas de agosto e outras festividades que se perderam (San Antonio). Festas de cada um dos três lugares, e festivais conjuntos (peregrinação ao Espírito Santo). Debate sobre a antiguidade e "tradição" de algumas festividades., Valverde's parties. The San Blas. Typical costume. August festivities and other festivities that were lost ( Saint Anthony). Festivities in each of the three places, and joint celebrations (Holy Spirit pilgrimage). Debate about the antiquity and "tradition" of some festivities.

Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Spanish Sahara

Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Saint Lucia (Windward Islands)

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: Kenya

Este conjunto de datos contiene medidas de vibración capturadas mediante un acelerómetro uniaxial en sistemas de ejes rotatorios con fallos estructurales. El objetivo es facilitar el desarrollo de algoritmos de diagnóstico de fallos y monitoreo de condición. Parámetros experimentales: -Velocidades de rotación: 20 Hz, 40 Hz y 60 Hz. - Niveles de fallo: Se incluyen 9 niveles de severidad de grietas mecanizadas para cada escenario. - Localizaciones de la grieta: Axle6: Posición central del eje. / Axle7: Posición lateral, ubicada específicamente en un cambio de sección ). El dataset es ideal para el análisis de firmas vibratorias y el entrenamiento de modelos de Machine Learning aplicados al mantenimiento predictivo.
La codificación de los archivos de datos sigue un formato del tipo AAAA.MM.DD_SS_CC − n.csv, donde: - AAAA.MM.DD corresponde a la fecha en año (AAAA), mes (MM) y día (DD), - SS es la velocidad de rotación del ensayo en Hz (20, 40 o 60), - CC es el estado del eje sometido a ensayo (desde HS, que significa «en buen estado», L1, primer nivel de fisura, hasta L9) - el último número n es el número de archivo medido durante el ensayo.
El nivel de la fisura se clasifica de la siguiente manera: • Eje en buen estado (HS). • Nivel 1 (L1): profundidad de fisura del 1,36 % respecto a su sección. • Nivel 2 (L2): profundidad de fisura del 4,16 % respecto a su sección. • Nivel 3 (L3): profundidad de fisura del 7,31 % respecto a su sección. • Nivel 4 (L4): profundidad de fisura del 10,95 % respecto a su sección. • Nivel 5 (L5): profundidad de fisura del 17,096 % respecto a su sección. • Nivel 6 (L6): profundidad de fisura del 22,68 % de su sección. • Nivel 7 (L7): profundidad de fisura del 29,20 % de su sección. • Nivel 8 (L8): profundidad de fisura del 39,80 % de su sección. • Nivel 9 (L9): profundidad de fisura del 50,00 % de su sección. El diámetro del eje es 0.0207 m y su longitud efectiva 0.26 m, This dataset comprises vibration measurement signals acquired via a uniaxial accelerometer from rotating shaft systems under induced structural fault conditions. Experimental Setup: - Rotational Speeds: 20 Hz, 40 Hz, and 60 Hz. - Fault Severity: The study includes 9 distinct levels of machined cracks, ranging from incipient to significant structural degradation. - Crack Locations: Axle6: Crack located at the mid-span (center) of the shaft / Axle7: Crack located at a lateral position, specifically at a section change. This data is intended for researchers working on vibration signature analysis, structural health monitoring (SHM), and the development of robust fault detection algorithms.
The encoding of data files follows a format of the type YYYY.MM.DD_SS_CC − n.csv, where: - YYYY.MM.DD corresponds with the date in year (YYYY) month (MM) and day (DD), - SS is the rotational speed of the test in Hz (20, 40 or 60), - CC is the condition of the tested axle (from HS which means Healthy condition, L1 first level of crack to L9) - the last number n is the number of file measured during the test.
The crack size level is stated as: • Healthy shaft (HS). • Level 1 (L1): cracked shaft with a depth of 1.36% relative to its section. • Level 2 (L2): cracked shaft with a depth of 4.16% relative to its section. • Level 3 (L3): cracked shaft with a depth of 7.31% relative to its section. • Level 4 (L4): cracked shaft with a depth of 10.95% relative to its section. • Level 5 (L5): cracked shaft with a depth of 17.096% relative to its section. • Level 6 (L6): cracked shaft with a depth of 22.68% of its section. • Level 7 (L7): cracked shaft with a depth of 29.20% of its section. • Level 8 (L8): cracked shaft with a depth of 39.80% of its section. • Level 9 (L9): cracked shaft with a depth of 50.00% of its section. The axle diameter is 0.0207 m and the efective length is 0.26 m

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.