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The financial narrative summarisation shared task (FNS 2022 & 2023): Datasets
No full textFinancial Narrative Processing (FNP) consists of workshops organized by Lancaster University at international NLP conferences to address various aspects of automatic processing of financial narratives, including automatic summarization. The LLI-UAM participated in 2022 and 2023 by creating Spanish-language datasets for the FNS shared task (evaluating AI systems using the same dataset to compare different approaches).
The dataset consists of complete annual reports from companies, chairmen's letters (which are considered summaries of the reports), and a version created by linguists that consists of a summary of the chairmen's letters in fewer than 1,000 words. Based on the dataset, participants train their models to generate summaries similar to the chairman's letter or the simplified version for new evaluation reports that were not shared during training. The evaluation is conducted using the ROUGE metric.
The dataset is composed of 262 financial reports taken from the FinT-esp corpus. The reports were originally in PDF format and were converted into plain text, removing tables, footnotes, headers, and retaining only the narrative content. The length of the reports ranges from 40 to 400 pages, with an average of 36,285 words. A total of 262 chairman's letters were extracted, and an additional 262 summary documents were created, each containing fewer than 1,000 words. This publication is about the dataset from the 2022 and 2023 competition.
These are txt files containing the full report, their respective chairmen's letters, and the summaries of these letters. They belong to The Financial Narrative Summarisation Shared Task (2022 and 2023).</p
Measuring the Impact of Post Quantum Cryptography in an Industrial IoT Scenario
No full textDescripción del proyecto
Estos datos son el resultado de las medidas resultantes de aplicar primitivas criptográficas post quantum a tres dispositivos industriales IoT usando tres generaciones distintas de raspberry pi.
Descripción del dataset
El dataset contiene tres carpetas: RPi2, RPi3 y RPi4. En todas ellas hay un fichero README.txt que indica que versión de OpenSSL se ha utilizado, y qué ficheros se encuentran en la carpeta, además de los algoritmos post quantum utilizados en las diferentes pruebas. Los resultados en CSV se encuentran en dos ficheros, dependiendo de si se han realizado con la sonda INA219 o no. Además hay una carpeta adicional sh con los scripts utilizados para cada prueba y otra carpeta ina219-energy_consumption con los datos en crudo de consumo.
Además las tres carpetas contienen un fichero BUILED.txt con el script bash utilizado para compilar e instalar instalar la versión de OpenSSL, libOQS y las herramientas necesarias. </p
Dataset for “Combined model‑based and data‑driven approach for the control of a soft robotic neck”
No full textThis dataset supports the article titled *“Combined model‑based and data‑driven approach for the control of a soft robotic neck”*, published in *Robotics and Autonomous Systems* in 2025. The study investigates a hybrid control strategy that combines an analytical model of a soft robotic neck with a multilayer perceptron (MLP) neural network trained on experimental data. The goal is to minimize position errors while maintaining a hybrid solution that includes models trained using deep learning techniques, without discarding the purely analytical model of inverse kinematics for the soft robotic neck.The repository contains processed data used for training the models. The models used have been exported along with the necessary scripts to reproduce the experiments and results
Tailoring Pd-membranas prepared by continuous flowing electroless pore-plating:role of hydrazine concentration and solution Flow rate
No full textThis database includes all the data from figures included in the publication: "Tailoring Pd-membranas prepared by continuous flowing electroless pore-plating:role of hydrazine concentration and solution Flow rate
Synbiotic administration improves systemic and vascular alterations in rats with experimental microsurgical extrahepatic cholestasis: Role of perivascular mesenteric innervation
No full textEffect of synbiotic supplementation on the body alterations in a rat model of liver colestasis.
This dataset is supplementary material for the paper: "Synbiotic administration improves systemic and vascular alterations in rats with experimental microsurgical extrahepatic cholestasis: role of perivascular mesenteric innervation". It contains 6 tables and 7 figures.
Background
Liver cholestasis is marked by bile acid accumulation in the liver, along with renal issues, portal hypertension, and altered circulation. Previous studies suggest that synbiotics may improve systemic and hemodynamic conditions in liver diseases.
Objective
This study investigated the effects of a commercial synbiotic on gut microbiota, liver and kidney function, and vascular changes in a cholestatic rat model, focusing on nerve functions in the superior mesenteric arteries.
Methodology
Adult Wistar rats were divided into three groups: Sham-operated, Cholestatic, and Cholestatic with synbiotic supplementation for 3 weeks. Liver colestasis was induced by surgical techniques. Blood pressure was measured using tail-cuff method.Liver and renal structure were determined using histological techniques (hematoxilin-eosin tinction). Liver and renal parameters in serum were measured using spectrophotometrical techniques. Short chain fatty acids were determined through liquid chromatography. Gene expression in kidney and fecal simples were determined by qRT-PCR. Vasomotor responses in superior mesenteric artery were determined by vascular reactivity techniques (organ bath).Neurotransmitter and endotoxin releases were measured using enzymeinmunoassay and fluorescence techniques. Protein expression was measured using western blot.
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LASMEFSP - Linking Auditory Spatial Metaphors to Finger Size Perception
No full textIn the Auditory Pinocchio Illusion [Tajadura-Jiménez et al., 2017], participants perceive an elongation of their finger upon vertically pulling their finger and hearing a concurrent upward pitch glissando. This arguably relies on associating the ecologically unrelated upward pitch glissando to the finger and allows to separately assess the role of semantic and multisensory contributions. However, what is needed for the association to occur is unknown. In a first experiment, we manipulated top-down attention to the finger upon which either an ascending or descending sound would be produced. In a second experiment, we compared how different bottom-up multisensory cues (arising from actions performed on the finger) concurrent to the ascending or descending pitch affected finger length perception. Participants either pulled, touched or stretched their left index finger. Through a perceptual judgment task of finger landmark localization and questionnaire ratings, we measured participants’ perceived finger length in both experiments, and separately assessed their sensory imagery skills.
We recruited 40 participants. Data from two of them was discarded from the whole experiment; one due to data loss, and another because the participant reported falling asleep during the task. Data from an additional participant was discarded from Experiment 2 due to malfunctioning of the pressure sensor. Lastly, EMG sensor data from two additional participants from Experiment 1 were further discarded due to logging issues. Resulting in N = 38 for Experiment 1 and N = 37 for Experiment 2, and N = 36 for the EMG sensor data analyses of Experiment 1. Within each of two experiments, the same sample partook in two blocks. In the first block, we looked at how attention would influence finger length estimation. The research paper associated with this data can be found in [Roel Lesur et al., 2025]. The overview of the datasets is available at https://doi.org/10.21950/APLK0
Do peri-urban areas act as refuges for the European rabbit (Oryctolagus cuniculus L.)?: Raw data
No full textThe European rabbit is a key species in the Iberian Peninsula, as well as invasive in many areas around the world. However, European rabbit populations declined due to different diseases and now they are increasing in a patchy way The reasons are not clear, but it has been posed that peri-urban sites may be some favoured sites and even act as refuges for rabbits. The paper of reference analyzes the case in 18 municipalities in Madrid Region (Spain), where rabbit abundance was sampled in empty lots surrounding different types or urban areas as well as distant control sites. Other potentially relevant factors for the abundance of the species are included as control variables, namely factors associated with human occupation, plant cover and landscape elements which can favour the presence of predators. The paper shows that human factors are relevant for the species, but urban encroachment has a mixed effect, resulting in a reduced abundance of rabbits around single-family residential areas, while road proximity increases their abundance. The results point to human activity as a facilitator of the local development of dense rabbit populations due to interference with predators, but that free-ranging pets and predators living in neighborhoods with large gardens may reverse this situation locally.</p
Replicación de datos para: Chemically activated hydrochars as catalysts for the treatment of HTC liquor by catalytic wet air oxidation
No full textThe UPGRES project focuses on integrating biotechnological, thermochemical, and catalytic transformations, including innovative technologies like dark fermentation, microalgae production, hydrothermal carbonization and liquefaction, and aqueous-phase reforming. It also aims to minimize environmental impact by developing efficient oxidation-based decontamination processes and low-cost, partially renewable catalysts using porous carbon from hydrochars. Additionally, the project seeks to reduce GHG emissions, prevent contaminated liquid waste, and minimize solid waste generation, ensuring that the fuels and chemicals produced are truly sustainable
This data set includes the results of catalyst characterization, wet air oxidation reactions and anaerobic digestion of the research paper Chemically activated hydrochars as catalysts for the treatment of HTC liquor by catalytic wet air oxidatio
Fostering computational thinking with simulated 3D robots in secondary education
No full textComputational 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 Grou
Hydrogen production technologies: from fossil fuels towards renewable sources. A mini-review
No full textThe global economic growth, the increase in population, and advances in technology lead to an increment in global primary energy demand. Considering that most of this energy is currently supplied by fossil fuels, a considerable amount of greenhouse gases are emitted, contributing to climate change, the reason why the next European Union binding agreement is focused on reducing carbon emissions by using hydrogen. This study reviews different technologies for hydrogen production using renewable and non-renewable resources. Furthermore, a comparative analysis is performed on renewable-based technologies to evaluate which ones are economically and energetically more promising. The results show how biomass-based technologies allow similar hydrogen yield compared to those obtained with water-based technologies, but with higher energy efficiencies and lower operational costs. More specifically, biomass gasification and steam reforming got a proper balance between the studied parameters, being gasification the technique which allows higher hydrogen yields while steam reforming is more energy efficient. Nevertheless, the application of hydrogen as the energy vector of the future requires both the use of renewable feedstocks with a sustainable energy source. This combination would potentially produce green hydrogen while reducing carbon dioxide emissions, limiting global climate change, and thus, achieving the so-called Hydrogen Economy