Resultados de investigación

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: Latvia

This repository contains the datasets used as benchmark for the steganalytical method described in the associated paper. Each collection of files is divided in two pairs, "Unmodified" being the cover object and "Modified" the object after processing with a specific steganography scheme. Comparison of both files can provide patterns useful for the steganalysis of these schemes.

This dataset is the result of the research carried out by Silvia Sánchez Calderón (UNED) and Raquel Fernández Fuertes (UVa) in the frame of the Research Group UVALAL (University of Valladolid Language Acquisition Lab, https://uvalal.uva.es/) whose Principal Investigator is Raquel Fernández Fuertes. In this project, the research is conducted on the second language (L2) acquisition of English Dative Alternation (DA) constructions by adult learners whose first language (L1) is Spanish. The results are compared to a control group of L1 English adults. The two DA structures under analysis involve, on the one hand, prepositional to-datives that alternate as Double Object Constructions (DOCs) (1) and, on the other hand, prepositional for-datives that alternate as DOCs (2). The main aim of this project is to explore the role played by the L2 English learners' L1 in their sensitivity towards the two syntactic variants, with a particular emphasis on the potential crosslinguistic influence effects (or lack thereof) from Spanish into English and the Universal Grammar (UG) effect on their acquisition. (1) a. You gave the key to her cousin [to-dative] b. You gave her cousin the key [DOC] (2) a. You booked the holiday for Sarah [for-dative] b. You booked Sarah the holiday [DOC]

This work is framed in the Spanish national project CLARA-FINT. The aim of this task within the project was to create an automatic discourse markers extractor for Spanish. In order to do so, the first step was to apply linguistic annotation on texts containing said markers. The next step involved the use of these annotations to fine-tune a model for the extraction of discourse markers task. This publication contains the fine-tuned model, i.e., the automatic extractor.

It is a roberta-bne model that was fine-tuned for the discourse markers extraction task. Texts annotated by linguists were used for fine-tuning as training data. Said texts contained discourse markers that were highlighted within their context.

This dataset contains responses from 934 Spanish distance higher education students who completed the adapted version of the Proactive Career Behavior Questionnaire (Strauss et al., 2012). The study aimed to validate the questionnaire in this context, analyzing its factorial structure, reliability, and gender invariance. The dataset includes demographic variables (gender and year of birth) and measures related to proactive career behavior, resilience, future orientation, and personal initiative. These variables were examined in relation to proactive career behaviors such as career planning, skill development, career consultation, and network building.

Four excell files are provided:
* Test_1.xlsx: SIMULATION RESULTS FOR TEST 1
* Test_2.xlsx: SIMULATION RESULTS FOR TEST 2
* Test_3.xlsx: SIMULATION RESULTS FOR TEST 3
* experimental_results.xlsx: EXPERIMENTAL RESULTS FOR THE MERCEDES SPRINTER VAN

Utilización de robots tutores en la enseñanza de lenguajes de programación de bloques gráficos, Datos de resultados de las pruebas objetivas de alumnos de secundaria de varios colegios, Recogida de datos a través de aplicación web en formato sql y csv Contiene una carpeta llamada "data" que contiene varios ficheros csv

Database of physical therapy exercises with variability of execution collected by wearable sensors. The PHYTMO database contains data from physical therapy exercises and gait variations recorded with magneto-inertial sensors, including information from an optical reference system. It includes the recording of 30 volunteers, aged between 20 and 70 years old. A total amount of 6 exercises and 3 gait variations commonly prescribed in physical therapies were recorded.

Home-based physical therapies are specially important for older adults, however they are effective if the prescribed exercises are correctly executed and patients adhere to these routines. Older adults can easily forget the guidelines from therapists, so in this work, we propose the use of Machine Learning techniques to recognize which exercise is being carried out and to assess if the recognized exercise is properly executed by using data from four IMUs placed on the person limbs.

Project developed by Giovanni Federico (Università di Pisa) and Antonio Tena Junguito (Universidad Carlos III de Madrid). This data base outlines changes in world trade from 1800 to 2016. Dataset: Germany

Entrevista a informante 1 en San Silvestre de Guzmán. ¿Cómo es el andaluz que se habla aquí, qué diferencias hay con otros pueblos? En Villablanca usan el diminutivo –iño. En [Villanueva de los Castillejos] y en Ayamonte la prosodia es muy diferente. Diferencias lingüísticas generacionales en San Silvestre. Variaciones internas en Portugal y variedades más fáciles de comprender. Alguna gente que ha estado en la emigración cuando vuelve al pueblo trae palabras de los sitios en donde han estado., Como se fala aqui o andaluz, que diferenças existem com outras aldeias? Em Villablanca eles usam o diminuto -iño. Em Villanueva de los Castillejos] e em Ayamonte a prosódia é muito diferente. Diferenças lingüísticas geracionais em San Silvestre. Variações internas em Portugal e variedades mais fáceis de entender. Algumas pessoas que estiveram em emigração quando retornaram à aldeia trazem palavras dos lugares onde estiveram., How is the Andalusian spoken here, what differences are there with other peoples? In Villablanca they use the diminutive -iño. In Villanueva de los Castillejos and in Ayamonte the prosody is very different. Generational linguistic differences in San Silvestre. Internal variations in Portugal and varieties easier to understand. Some people who have been in emigration when they return to the town bring words from the places where they have been.