Resultados de investigación

Material suplementario artículo titulado: ENVIRONMENTAL AWARENESS AND SUSTAINABLE BEHAVIORS OF HEALTHCARE PROFESSIONALS: VALIDATION OF THE HEALTHCARE ENVIRONMENTAL AWARENESS TOOL (HEAT), Background Climate change poses a significant challenge to public health, requiring healthcare personnel to recognize their responsibility and adopt environmentally responsible behaviors. The aim of this study was to conduct a cultural adaptation and psychometric validation of the Healthcare Environmental Awareness Tool (HEAT) to assess the level of environmental awareness, sustainable behaviors, and their relationship to healthcare professionals' health in Spain. Methods A cross-sectional observational study was conducted to translate, adapt, and validate the HEAT questionnaire for the Spanish context. The sample comprised 450 healthcare professionals from 9 Spanish hospitals. The HEAT questionnaire was validated using item response theory, specifically through the polytomous Rasch model. It is organized into three main scales: HAS (Healthcare Awareness Scale), HPEB (Healthcare Professional Ecological Behavior Scale), and PEB (Personal Ecological Behavior Scale). Each scale includes two dimensions per item derived from paired questions. The first dimension addresses the specific topic of the scale, while the second focuses on the respondent’s belief about how environmental impacts affect human health. Results The HEAT questionnaire, initially comprising 62 items, was refined to a final version of 50 items. This version demonstrated robust reliability and validity, with satisfactory fit for both items and persons. Reliability indices were: HAS-1 (0.76 for persons, 0.98 for items), HAS-2 (0.82, 0.96), HPEB-1 (0.77, 0.99), HPEB-2 (0.79, 0.94), PEB-1 (0.83, 0.99), and PEB-2 (0.87, 0.97). Internal consistency, measured using Cronbach’s α and McDonald’s ω, yielded strong results: HAS-1 (0.79), HAS-2 (0.90), HPEB-1 (0.75), HPEB-2 (0.87), PEB-1 (0.81), and PEB-2 (0.92). No significant group differences were observed, confirming the instrument’s fairness in differential item analysis. Conclusions The HEAT questionnaire is a useful and accurate tool for measuring environmental awareness, sustainable behaviors, and perceived health impacts among healthcare professionals., Ninguno

El proyecto ASISTA, ante el creciente problema del envejecimiento de la población en España, propone, con el fin de conseguir una vida más activa y saludable para las personas mayores, y en concreto luchar contra la soledad no deseada, la creación de una red de sensores inalámbricos inteligentes que conformarían un sistema complejo de procesado de información multimodal con el fin de detectar e identificar a los usuarios dentro de entornos asistenciales para facilitar los servicios ofrecidos por un sistema de Ambient Assisted Living (AAL). De esta manera, se busca conseguir, a través de los trabajos de investigación llevados a cabo en el proyecto, técnicas fiables de detección e identificación de personas dentro de entornos controlados apoyándose en la información multimodal captada por la red de sensores. La ventaja tecnológica de contar con una detección e identificación fiables permitirá que el sistema ASISTA, a la hora de ofrecer sus servicios a los sistemas AAL, así como el personal asistencial, estos estén personalizados y se pueda contar siempre con toda la información referente al usuario vinculada con el servicio ofrecido. Cabe destacar la importancia de que un usuario pueda ser identificado dentro de un entorno asistencial, ya sea una residencia de mayores o una dependencia hospitalaria, incluso en su hogar, ya que permitiría realizar seguimientos de su actividad, las posibles relaciones interpersonales o la detección de cualquier evento, permitiendo que esta información recabada esté siempre referenciada en tiempo real al individuo, posibilitando realizar evaluaciones sobre los datos captados. En concreto, el sistema ASISTA se validará con una prueba piloto en una residencia de mayores en la que se aplicará para la detección de situaciones de soledad no deseada. Además, teniendo en cuenta el estado actual de las tecnologías en la nube, la información generada por el sistema inteligente multimodal ASISTA, incluyendo la identificación y la información personalizada, estaría ofrecida a través de servicios desplegados en la nube, lo cual facilitaría en gran medida su integración con otros servicios en el ámbito del AAL, así como con las herramientas de gestión sanitaria, tanto públicas como privadas., Plan de gestión de datos y datasets del proyecto Sistema inteligente e interoperable con detección multimodal para ambientes asistidos (ASISTA), --Por conceder -- Agencia Estatal de Investigación

Database used for validation of the OPEH-NCQ (Older People's Environmental Health- Nursing Competencies Questionnaire)

This dataset comprises spectral global irradiance on the plane of array (tilted) data (Excel files) measured in Madrid and Jaén using EKO MS-700 spectroradiometers during 2015–2016 and 2016–2017, respectively, together with a README file explaining how to interpret the Excel files. An additional Excel file providing the spectral response of the PV materials analysed in the paper is also included. These data support part of the experimental analysis presented in the following paper: Sevillano-Bendezú, M. A., Khenkin, M., Nofuentes, G., de la Casa, J., Ulbrich, C., & Töfflinger, J. A. (2023). Predictability and interrelations of spectral indicators for PV performance in multiple latitudes and climates. Solar Energy, 259, 174–187. https://doi.org/10.1016/j.solener.2023.04.067 How to cite: Nofuentes, G. (2025). Dataset for "Predictability and interrelations of spectral indicators for PV performance in multiple latitudes and climates". Solar Energy, 259, 174–187. https://doi.org/10.1016/j.solener.2023.04.067 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18056369, Ministerio de Ciencia, Innovación y Universidades. Proyecto "Estimacion de la energia generada por modulos fotovoltaicos de capa delgada: influencia del espectro". ENE2008- 05098/ALT

This dataset comprises spectral global irradiance on the plane of array (tilted) data (Excel files) measured in Madrid using an EKO MS-700 spectroradiometer during 2016–2017 together with a README file explaining how to interpret the Excel files. These data support part of the experimental analysis presented in the following paper: Marco Antonio Zamalloa-Jara, Miguel Ángel Sevillano-Bendezú, Carolin Ulbrich, Gustavo Nofuentes, Rolf Grieseler, Jan Amaru Töfflinger, Overirradiance conditions and their impact on the spectral distribution at low- and mid-latitude sites, Solar Energy, Volume 259, 2023, Pages 99-106, https://doi.org/10.1016/j.solener.2023.05.010 How to cite: Nofuentes, G. (2026). Dataset for "Overirradiance conditions and their impact on the spectral distribution at low- and mid-latitude sites", Solar Energy, Volume 259, 2023, Pages 99-106, https://doi.org/10.1016/j.solener.2023.05.010 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18169082, Ministerio de Ciencia, Innovación y Universidades. Proyecto "Estimacion de la energia generada por modulos fotovoltaicos de capa delgada: influencia del espectro". ENE2008-05098/ALT

his corpus consists of 46,962 tweets related to the Catalan referendum, a very controversial topic in Spain due to it was an independence referendum called by the Catalan regional government and suspended by the Constitutional Court of Spain after a request from the Spanish government. All the tweets were downloaded on October 1, 2017 with the hashtags #CatalanReferendum or #ReferendumCatalan. Later, we collected features of these tweets on October 31, 2017 in order to analyze their virality. Each item in this collection is made up of the features we used from each tweet to perform the virality analysis: lang: Tweet language. retweet_count: Total number of retweets recorded for a given tweet. favourite_count: Total number of favourites recorded for a given tweet. is_quote_status: Whether a tweet includes a quote of another tweet. num_hashtags: Total number of hashtags in the tweet. num_urls: Total number of URLs in the tweet. num_mentions: Total number of users mentioned in the tweet. interval_time: Interval of the day on which the tweet was published (morning (06:00-12:00), afternoon (12:00-18:00), evening (18:00-00:00) or night (00:00-06:00)). positive_words_iSOL: Total number of positive words found in the tweet using iSOL lexicon. negative_words_iSOL: Total number of negative words found in the tweet using iSOL lexicon. positive_words_NRC: Total number of positive words found in the tweet using NRC lexicon. negative_words_NRC: Total number of negative words found in the tweet using NRC lexicon. positive_words_mlSenticon: Total number of positive words found in the tweet using ML-SentiCon lexicon. negative_words_mlSenticon: Total number of negative words found in the tweet using ML-SentiCon lexicon. verified_user: Whether the tweet is from a verified user. followers_count_user: Total number of users who follow the author of a tweet. friends_count_user: Total number of friends that the author is following. listed_count_user: Total number of lists that include the author of a tweet. favourites_count_user: Total number of favourited tweets by a user. statuses_count_user: Total number of tweets made by the author since the creation of the account.

PLAN DE TRANSFERENCIA DE RESULTADOS DE INVESTIGACIÓN DEL PROYECTO SUSTAINACOOP

Fatigue can lead to negative workplace consequences. Within a job demands-resources framework, this study examines: (a) latent profiles of job demands and job and personal resources, (b) associated fatigue levels, (c) profile stability over time, and (d) how job-crafting and self-undermining influence profile membership and transitions, impacting fatigue. Data was collected from Spanish employees at two time points (T1, n = 749; T2, n = 228) and analyzed using latent profile and latent transition approaches. Results revealed three stable profiles: (1) limited leadership resources and moderate workload, (2) moderate resources and moderate workload, and (3) high resources and moderate-high workload, with the latter showing lowest fatigue levels. Job-crafting predicted both maintenance of favorable profiles and transitions toward high-resource profiles. Self-undermining showed no significant effects. Findings highlight job crafting’s importance in maintaining beneficial resource-demand profiles that prevent workplace fatigue, suggesting organizations should promote job-crafting behaviors as effective fatigue management strategies., This research was supported by the Spanish Ministry of Science and Innovation under project PID2020-116521RB-I00, funded by MCIN/AEI/10.13039/501100011033

Database used for the descriptive cross-sectional study on the consumption of pornography and the emergence of sexist behavior in young university students, as well as different related characteristics such as religiosity or the educational level of the parents.