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Exploring the predictive role of lexical stress discrimination in the phonological and gramatical skills of teenagers with Down syndrome
No full textThis is the database of the study Exploring the predictive role of lexical stress discrimination in the phonological and gramatical skills of teenagers with Down syndrome. The study aimed to assess whether lexical stress discrimination contributes to accounting for the phonological and grammatical skills of teenagers with Down síndrome (DS). Lexical stress discrimination, along with a range of phonological and grammatical skills, was assessed in a group of 27 teenagers with DS. The differential predictive role of lexical stress discrimination in phonology and grammar was studied, taking into account the potential effect of other relevant variables, namely, hearing thresholds, verbal short-term memory, chronological age and non-verbal cognition. Only for the grammar measurements did lexical stress discrimination play a predictive role. Regression models revealed that, for grammatical integration and sentence repetition, both verbal short-term memory and lexical stress discrimination emerged as significant predictors. For grammar comprehension, lexical stress discrimination was the only significant predictor. The results regarding grammar are consistent with a temporal-sampling approach and have implications for future intervention programmes
PISA 2015 and 2018 Madrid Bilingual Program
No full textThis database has been used in an article titled "New evidence on the impact of learning in a foreign language on educational outcomes", published in "Studies in Educational Evaluation" (https://doi.org/10.1016/j.stueduc.2024.101386), which evaluates the Madrid bilingual program, comparing academic outcomes between bilingual and non-bilingual students using Propensity Score Matching
Efficient Self-Condensation of Cyclohexanone into Biojet Fuel Precursors over Sulfonic Acid-Modified Silicas: Insights on the Effect of Pore Size and Structure - Dataset
No full textMesoporous silica materials with different pore structures and sizes have been used for supporting aryl sulfonic acid catalytic sites via a postsynthetic grafting approach. The synthesized materials have been evaluated in the solventless acid-catalyzed self-condensation of cyclohexanone (CHO) to obtain the corresponding C12 adducts. These compounds display great potential as oxygenated fuel precursors as they can be transformed into jet fuel range alkanes in a subsequent hydrodeoxygenation process. In
this work, the synthesized catalysts have displayed high selectivity values toward monocondensed compounds (>95%), thus limiting the formation of undesired heavier condensation products, together with CHO conversion values in the range 20−40% after 2 h of reaction at 100 °C. The structural and textural properties of the supports play an important role in the catalytic performance. Moreover, the activity per acid center is correlated with the textural properties of the supports, indicating that a lower surface density of the anchored aryl sulfonic groups affords an improvement in their specific activity. Finally, the benefit of using supports with large pore sizes and open structures, which limit the fouling of the catalysts by organic deposits, is demonstrated in a stability and reusability test
Innovative and flexible methodologies in Europe: connected, collaborative, gamified, hybrid and inclusive design dataset
No full textThe chapter presents an analysis of evaluations of five NOOCs (Nano Open Online Courses) for teacher education, focusing on connected methodologies, collaborative, gamification, hybrid approaches and flexible learning. Through interviews and focus groups in English, six key dimensions are examined: structure, content, methodology, technology, cohesion and overall satisfaction. The sample consisted of 23 female professors from European universities (Italy, Bulgaria, Romania and Haiti). The dataset consists of the analysis of 17 interviews conducted with university professors who participated as students in a training program focused on digital and flexible methodologies, with the aim of evaluating its quality
Indoor Energy Harvesting Enhancement: Pb-Free Perovskite Solar Cell with Nanostructured Grating Contact
No full textHalide perovskite materials have spread in solar cells and photodetectors because of their excellent possibilities in tuning their absorption wavelengths, ease of fabrication, and low carbon footprint. However, their main drawbacks are related to their short device lifetime and stability problems in addition to limited efficiency at certain wavelength. For this reason, in this letter, we design a metasurface that can be integrated into a particularly long-life, stable and sustainable perovskite solar cell with the aim of enhancing its performance under indoor conditions. The metasurface has been designed and numerically simulated to enhance the halide perovskite response at the typical emission wavelengths of indoor LEDs. Adjusting the response of these solar cells to those specific spectral ranges by metasurfaces may create novel energy harvesting devices
Medidas de impedancia electromecánica en vigas de hormigón reforzadas con FRP
No full textDescripción del proyecto
Monitorización de estructuras de hormigón armado reforzadas con FRP mediante técnicas de inteligencia artificial
4. Descripción del dataset
Se trata de datos de impedancias electromecánica de dos de las probetas que se han ensayado durante el proyecto.
Los datos de la primera probeta (PROBETA1) se componen de diez ficheros en formato excel. La descripción detallada del ensayo y la colocación de los sensores se encuentra en las siguientes publicaciones:
RICARDO PERERA , CONSUELO HUERTA, MARTA BAENA, CRISTINA BARRIS
ANALYSIS OF FRP STRENGTHENED REINFORCED CONCRETE BEAMS USING ELECTROMECHANICAL IMPEDANCE TECHNIQUE AND DIGITAL IMAGE CORRELATION SYSTEM
Sensors
2023, 23, 8933.
https://doi.org/10.3390/s23218933
RICARDO PERERA, JAVIER MONTES, ALEJANDRA GÓMEZ, CRISTINA BARRIS, MARTA BAENA
UNSUPERVISED AUTOENCODERS WITH FEATURES IN THE ELECTROMECHANICAL IMPEDANCE DOMAIN FOR EARLY DAMAGE ASSESSMENT IN FRP-STRENGTHENED CONCRETE ELEMENTS
Engineering Structures
2024, 315, 118458
https://doi.org/10.1016/j.engstruct.2024.118458
Los datos de la segunda probeta (PROBETA2) se componen de diez ficheros excel. La descripción detallada del ensayo y la colocación de los sensores se encuentra en las siguientes publicaciones:
RICARDO PERERA , CONSUELO HUERTA, MARTA BAENA, CRISTINA BARRIS
ANALYSIS OF FRP STRENGTHENED REINFORCED CONCRETE BEAMS USING ELECTROMECHANICAL IMPEDANCE TECHNIQUE AND DIGITAL IMAGE CORRELATION SYSTEM
Sensors
2023, 23, 8933.
https://doi.org/10.3390/s23218933
JAVIER MONTES, JUAN PÉREZ, RICARDO PERERA
DAMAGE INDICATORS FOR STRUCTURAL MONITORING OF FIBER-REINFORCED POLYMER-STRENGTHENED CONCRETE STRUCTURES BASED ON MANIFOLD INVARIANCE DEFINED ON LATENT SPACE OF DEEP AUTOENCODERS
Applied Sciences
2025, 15(11), 5897
https://doi.org/10.3390/app15115897
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FICHEROS
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1. Ficheros (Relación de todos los ficheros que se incluyen en el dataset, estructura breve descripción de su contenido, indicar formato, idioma, versión, etc.)
PROBETA 1: Diez ficheros en formato excel, de ENSAYO 1 a ENSAYO 10. Cada fichero representa un estado de carga distinto para todos los sensores analizados. Una descripción detallada se encuentra en los artículos reseñados
PROBETA 2: Diez ficheros en formato excel, de ENSAYO 1 a ENSAYO 10. Cada fichero representa un estado de carga distinto para todos los sensores analizados. Una descripción detallada se encuentra en los artículos reseñados</p
The Financial Document Causality Detection Shared Task (FinCausal 2025): Dataset
No full textThe Financial Document Causality Detection Shared Task (FinCausal 2025) aims to improve causality identification in the financial domain through textual data.
This shared task focuses on determining causality associated with both events and quantified facts. In this task, a cause can be the justification of a statement or the reason explaining an outcome. Therefore, it is a relation detection task.
The main difference compared to the 2023 edition is that the task is framed as a Question Answering (QA) problem. The question is posed in an abstractive manner, while the predicted answer must be extractive. Additionally, the Semantic Answer Similarity (SAS) metric has been introduced.
Participants, given the context and the abstractive question, must extract the literal answer from the context that responds to that question. The questions seek causal-type relationships, either causes or effects.
The task dataset has been extracted from a corpus of Spanish financial annual reports from 2014 to 2018. Participants are provided with a CSV file containing the following fields: ID; Text; Question; Answer.
The standard way to participate is to fine-tune a model using the data annotated by linguists (including Inter-Annotator Agreement, IAA), and then use the fine-tuned model to predict the "ANSWER" field in the test set.
This publication refers to the dataset used in the competition.
This is a dataset from the FinCausal 2025 competition. It is designed for participants to use it to fine-tune their models and complete the task with the highest possible similarity to the gold standard, according to the established metrics.
It consists of texts annotated by linguists, where a context, an abstractive question, and its corresponding extractive answer—which addresses the causal nature of the question—are provided.
There are two versions available: one in English and one in Spanish.</p
Análisis del poder de las conexiones en educación. Base de datos.
No full textEste libro se ha realizado sobre la base de un conjunto de investigaciones realizadas en el ámbito de la educación digital y las redes sociales. Está formado por cinco capítulos. Se parte de un contexto general, que busca establecer las bases generales de cómo se investiga en redes sociales y cuáles son las principales variables a tener en cuenta: cómo se crean las redes, cómo nos afectan y para qué sirven en un contexto de investigación educativa. En el capítulo segundo se explica cómo conformar grupos de trabajo como estrategia efectiva para fomentar la interacción entre los actores que participan en un entorno de aprendizaje universitario. Posteriormente, se presentan dos investigaciones en el contexto de redes sociales basadas en el análisis de los sentimientos y en el análisis de los discursos. Y, finalmente, se presenta un análisis bibliométrico de la evolución del área de conocimiento del aprendizaje en red y un estudio de caso sobre el comportamiento del alumnado ante situaciones problemáticas durante un proceso de aprendizaje en red. Es la base de datos, se incluye los datos correspondientes a los capítulos 2, 3, 4 y 5 de las distintas investigaciones publicadas en el libro.
El capítulo 2 y el capítulo 5 han sido resultado de la tesis doctoral de Mena Guacas “Aprendizaje red como alternativa teórica y metodológica para el fomento de la interacción en escenarios de aprendizaje universitarios de modalidad virtual”, dirigida por Santoveña-Casal. El capítulo 3 y 4 ha sido el resultado del trabajo de investigación realizado en el contexto de la comunicación y educación por parte de Irene Méndez Sánchez y Sonia Santoveña-Casal. El capítulo 5 presenta un análisis bibliométrico sobre de la evolución del área de conocimiento del aprendizaje en red objeto de la tesis, resultado de la colaboración entre los tres autores del libro y además, se presenta un estudio de caso resultado de la tesis doctoral de Mena Guacas “Aprendizaje red como alternativa teórica y metodológica para el fomento de la interacción en escenarios de aprendizaje universitarios de modalidad virtual”, dirigida por Santoveña-Casal
Evaluating Earth Construction Techniques on Ancient Architecture: an Exploratory Use of Empirical Field Tests in West Asia (Tell Zurghul/Nigin)
No full textThe application of empirical field tests aims to integrate archaeological insights with material science to inform conservation practices, highlighting the importance of multidisciplinary collaboration in preserving earthen heritage, and informing conservative strategies for the preservation and restoration of earthen structures. Sixteen samples – fifteen archaeological and one modern – were analysed from the site of Tell Zurghul/Nigin, south-eastern Iraq, dating from the mid-5th to mid-3rd millennium BCE, to assess raw material composition, grain size, clay behaviour, organic content, cohesion in wet and dry states, and surface adhesion. Results demonstrate homogeneity in material composition across the time span, primarily fine sands with minimal clay or silt, suggesting favourable drainage, minimal shrinkage, and reduced cracking but limited cohesion, implying a potential need for stabilisers such as plastic clays or fibres in construction.
The Dataset contains all raw data pertaining to the empirical field tests carried out on mudbrick samples from the site of Tell Zurghul/Nigin (Dhi Qar province, Iraq), analysed as part of the EnEAp project.
Test photos: example of empirical field tests carried out on sixteen samples (fifteen archaeological and one modern) from the site of Tell Zurghul/Nigin.
Field Test_Result Sheet: Tabular sheet with the results for each analysed sample from: smell test, visual examination, handwashing test, “cigar” test, pastil test, bottle test, peeling/scotch tape test
Sedimentation Test_Detailed Sheet: Tabular sheet with the detailed results from each analysed sample from the sedimentation test.
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Impact of molten salts composition on the corrosion behavior of NiMoCr and CoNiCrAl coatings on L-PBF 316L stainless steel for CSP plants
No full textWe present the study of the influence of different coatings made by HVOF in 316 L stainless Steel manufactured by LPBF on the corrosión behavior