Publications by authors named "J A Lopez Ballester"
Importance: Climate change can adversely affect mental health, but the association of ambient temperature with psychiatric symptoms remains poorly understood.
Objective: To assess the association of ambient temperature exposure with internalizing, externalizing, and attention problems in adolescents from 2 population-based birth cohorts in Europe.
Design, Setting, And Participants: This cohort study analyzed data from the Dutch Generation R Study and the Spanish INMA (Infancia y Medio Ambiente) Project.
Oxygen is an important parameter in winemaking that can have positive or negative impacts on wine quality. A controlled oxygen management can lead a wine with good potential for ageing to develop an interesting ageing bouquet. On the other hand, when oxygen intake is not well controlled, loss of freshness and fruitiness can occur, and some faulty oxidative notes can appear.
View Article and Find Full Text PDFBackground: Inhalants are a very diverse class of substances with a highly prevalent recreational use. Difluroethane (DFE) is a psychoactive ingredient present in several propellants and dust remover products. Past reports have described the toxicological effects of this compound, but its addictive potential is poorly described in the literature.
View Article and Find Full Text PDFMore than 110,000 Europeans died as a result of the record-breaking temperatures of 2022 and 2023. A new generation of impact-based early warning systems, using epidemiological models to transform weather forecasts into health forecasts for targeted population subgroups, is an essential adaptation strategy to increase resilience against climate change. Here, we assessed the skill of an operational continental heat-cold-health forecasting system.
View Article and Find Full Text PDFArticle Synopsis
- Epileptic seizures are dangerous neurological events that require early detection for effective treatment, leading to the development of advanced artificial intelligence methods for improved detection.
- This study introduces a new ensemble approach, combining fast independent component analysis random forest (FIR) and prediction probability, using EEG data to enhance the early detection of seizures.
- Experimental results show that the FIR model, particularly when combined with support vector machine (FIR + SVM), achieves a high detection accuracy of 98.4%, indicating its potential for early diagnosis and improved patient outcomes in the medical field.