Resultados de investigación

The files contain data of the reliability evaluation of a rubric intended to grade ScratchJr programs.

Para poder aplicar técnicas de PLN y aprendizaje profundo capaces de reconocer de forma automática las menciones de las enfermedades raras y sus manifestaciones clínicas en textos es imprescindible contar con un dataset (colección de textos anotados con enfermedades y síntomas / signos) que pueda ser utilizado par entrenar y evaluar los distintos modelos. Con ese objetivo, dentro del proyecto NLP4RARE-CM-UC3M, creamos el corpus RAre4Dis, formado por 1.041 textos seleccionados de una de las principales bases de datos con información sobre enfermedades raras, Orphanet (https://www.orpha.net/consor/cgi-bin/index.php). Una vez definidas una metodología y guías de anotación, se anotaron las entidades (enfermedad, enfermedad rara, síntoma, signo y anáfora). El corpus de RareDis contiene más de 5.000 enfermedades raras y unas 6.000 manifestaciones clínicas. Para garantizar la calidad del corpus, se midió el acuerdo entre anotadores, alcanzando una medida F1 de 83.5%. El dataset, que es distribuido con particiones para entrenamiento, validación y evaluación, puede ser utilizado para entrenar y evaluar enfoques basados en aprendizaje automático y dirigido al reconocimiento de este tipo de entidades en textos médicos. A continuación, se presentan algunas tablas con información del número de textos y entidades más importantes del dataset:
Training Validación Test Total
Textos 729 - 104 - 208 - 1.041
Oraciones 6.451 - 903 - 1.787 - 9.141
Tokens 135.656 - 18.492 - 37.893 - 192.041

Training Validación Test Total
Disease 1.647 - 230 - 471 - 2.348
Rare Disease 3.608 - 525 - 1.088 - 5.221
Symptom 319 - 24 - 53 - 396
Sign 3.744 - 528 - 1.061 - 5.333
produces 4.106 - 556 - 1.131 - 5.793
increase-risk-of 169 - 22 - 54 - 245

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

Entrevista a informante 1 en Esperança. La siega y el ciclo del cereal. Molinos y molienda. Hornos y fabricación del pan. Vendimia y preparación del vino. Aceituna y aceite; la mecanización de los olivares ha alterado su fisionomía y todo el proceso., A ceifa e o ciclo do cereal. Moinhos e moagem. Fornos e panificação. Vendima e preparação de vinho. Azeitona e azeite; a mecanização dos olivais alterou a sua fisionomia e todo o processo., The harvest and the cereal cycle. Mills and grinding. Ovens and bread making. Harvest and wine preparation. Olive and oil; the mechanization of the olive groves has altered its physiognomy and the whole process.

This dataset is linked to a research project that conducts a systematic literature review on the use of BARS-type instruments to measure efficiency in various work contexts, and subsequently, specifically, to assess teacher efficiency in educational settings. Variables: Publication Type, Authors, Article Title, Source Title, Publication Year, ISSN/eISSN, Volume, Issue, DOI, DOI Link, UT (Unique Web of Science ID).

Data related with the article:“In situ” hexagonal nanostructures surface growth from boron-carbon nanodots. Electrografting of boron doped carbon nanodots to generate hexagonal nanostructures over the surface of carbon electrodes and their application as electrochemical doubled layer capacitor.

Experimental Data obtained in boron-carbon dots characterization (UV-Vis spectroscopy, FT-IR spectroscopy, dynamic light scattering, fluorescence spectroscopy), Experimental cyclic voltammetry data obtained during electrografting protocol. Charge-Discharge data obtained during capacitance test of modified electrodes.

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: Crete

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

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: Eritrea

Planar and symmetric molecular architectures with defined donor–acceptor distributions offer exceptional versatility for optoelectronic applications. Perylene monoimides exemplify these features, and here we systematically explore strategies to tune their dipole-like distribution while preserving symmetry. Correlating optical properties in solution and solid state with electron-donating and/or -withdrawing groups at the ortho positions reveals how subtle modifications control the intermolecular interactions and therefore, aggregation and optoelectronics. Single-crystal X-ray diffraction further uncovers distinct stacking modes, highlighting the decisive role of molecular design in tailoring functionality for diverse applications.

The dataset contains the raw data in pdf of the High resolution Mass Spectrometry measurements, the original files provided by the UV-Vis absorption, fluorescence and electrochemistry apparatus as well as the FID from the NMR