Resultados de investigación

The dataset includes four curcumin-loaded nanoparticle formulations (CO-LLN, MG-LLN, HPO-SLN, and CN-SLN) differing by lipid type. Each formulation was characterized for particle size, ζ-potential, and physical stability. In vivo data were collected from 16 female Sprague Dawley rats divided into four treatment groups, each receiving 250 mg/kg curcumin orally. Biological samples included plasma, gastrointestinal segments, liver, kidney, and adipose tissues. Curcumin and its metabolites were quantified in these samples using LC-ESI–MS/MS. Overall, the dataset integrates formulation parameters, physicochemical properties, and in vivo biodistribution profiles of curcuminoids.

This data examines perceptions of ageing, ageism, and profiguration through three intergenerational focus groups. Participants question the dominant model of “active ageing,” arguing that it often imposes normative expectations of productivity and overlooks diverse abilities, desires, and life circumstances. Ageism emerges as a bidirectional phenomenon affecting both older adults and younger people, whose emotions and experiences are frequently undervalued. Profiguration is viewed positively as an interdependent and socially sustainable framework that counters growing individualism and unwanted loneliness. The discussions also highlight the pressures associated with demographic change, the externalisation of care, and the need for public policies that strengthen community ties and promote meaningful intergenerational encounters.

This dataset contains the raw data generated for the manuscript "Optimised ultrasound treatments enhance hydration properties and induce structural modifications in dietary fibre concentrates derived from orange peels". The purpose was to evaluate and optimise the effect of ultrasound (US) treatment conditions (power, solid-liquid ratio, and time) to improve the hydration properties of dietary fibre concentrates derived from orange peel (OP-DFC). Additionally, it sought to explore the structure-function relationships underlying potential ultrasound-induced modifications.

This dataset contains raw data from an in vivo study evaluating the bioavailability and biodistribution of β-carotene delivered via different oleogel structures compared to liquid oil. The study utilized 18 rats (4 treatment groups, n=4; 1 baseline control group, n=2) to assess how the structural composition of the delivery matrix influences the absorption of β-carotene and its metabolic conversion into retinol across different tissues. The experimental design evaluated an enriched corn oil control against three specific oleogel formulations: Control: Corn oil with β-carotene (BC-corn oil). BC-OGS: Oleogel structured with glyceryl stearate. BC-OLEC: Oleogel structured with glyceryl stearate and lecithin. BC-OHLEC: Oleogel structured with glyceryl stearate and hydrogenated lecithin.

Reflectance data (Vis-NIR and NIR region) for single oat kernels is provided. Also, deoxynivalenol and zearalenone concentration of that kernels and if they are above (U) or under (L) the legal limit for oats is indicated.

This repository contains the source code and processed datasets for a deep learning framework designed to multivariate event-based time series classification applied to monitor police firearm usage via embedded sensor fusion. The software features a custom-built Recurrent Neural Network (RNN) library implemented in pure Python/NumPy, enabling the training of lightweight models (Vanilla RNN, GRU, MGRU) suitable for deployment on low-resource embedded systems. The framework utilizes a multi-objective architecture to process simultaneous inputs from piezoelectric (vibration) and photoelectric (light) sensors. Key capabilities include "Zoneout" regularization, custom Backpropagation Through Time (BPTT), and export functionality to C-style headers for microcontroller integration. The included datasets consist of pre-processed, labelled time-series vectors representing real-world firearm manipulations (shots, reloads, and handling events)

This data examines perceptions of profiguration, intergenerational relations and sustainability through a series of interviews. Participants, primarily local people from an anonymized territory, were asked about their views on life in the territory and its connection to language, culture, and sustainability. They were also asked for their opinions on the development of intergenerational relationships within this context, as well as on technical aspects of organizational bodies and institutions in the area. Overall, intergenerational relationships are perceived as positive and supported by local traditions and culture. Additionally, participants expressed growing awareness of the importance of social development, sustainability of the territory and gender equality.

This dataset contains responses from a quasi-experimental health education study conducted among adults aged 18 years or older from different municipalities in the Segrià region (Catalonia, Spain). Data were collected to evaluate the effectiveness of the "Rethinking COVID-19" intervention in relation to knowledge, preventive practices, and emotional coping. The dataset includes pre- and post-intervention questionnaire data from an intervention group and pre-intervention data from a non-equivalent control group. Variables cover basic sociodemographic characteristics, hand hygiene knowledge and practices, healthy habits related to COVID-19, and self-reported emotions and coping strategies. A post-intervention satisfaction questionnaire, including Likert-scale items and a Net Promoter Score, is also included for the intervention group. Data are fully anonymised, contain no direct identifiers, and consist mainly of categorical and ordinal variables with explicit coding.

This dataset contains data from an observational study conducted among undergraduate nursing students at a public university in Spain during the 2025–2026 academic year. Data were collected to examine the association between students’ knowledge, attitudes, and practices regarding Advance Care Planning, including Planning Anticipated Decisions and Advance Directives, and their person-centred care orientation in critical health situations. The dataset includes self-administered questionnaire responses covering sociodemographic characteristics and validated scale measures, specifically the PROPAD-pro scale and the Patient–Practitioner Orientation Scale (PPOS). Variables are mainly categorical and ordinal, including Likert-scale items. All data were anonymised, contain no direct identifiers, and were collected using an online questionnaire platform.

Referencias incluidas en una revisión sistemática de estudios empíricos sobre la violencia digital contra las mujeres con muestras de los principales países del sur de Europa. Las referencias registradas corresponden a los estudios incluidos en una revisión sistemática realizada conforme a la declaración PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Se incluyeron exclusivamente estudios empíricos publicados entre 2015 y 2025 que abordaran de manera explícita la violencia digital contra las mujeres. Los trabajos seleccionados cuentan con muestras procedentes de España, Portugal, Italia o Grecia, con independencia del país de afiliación de las autoras o autores. Estas referencias constituyen la base empírica de la revisión.