Opportunities for standardization in emergency scenarios in the European Union.

OBJECTIVE: Despite current standardization actions towards the unification between European Union (EU) countries, there is still much work to do. In this context, this paper aims to offer a comprehensive analysis of the limitations of the EU concerning emergency situations, specifically in cross-border, cross-hierarchical, and cross-sectorial emergencies, as well as the analysis of emergent opportunities for improvement. The final goal of this analysis is to serve as an initial step for pre-standardizing these opportunities. MATERIALS AND METHODS: This work, performed in the context of the EU H2020 VALKYRIES project, first analyzed existing gaps from three dimensions: technological, procedural, collaboration, and training. Each gap was obtained from the literature, professional experience within VALKYRIES, or a consultation process on EU emergency agencies. This research subsequently obtained a list of opportunities from these limitations, aggregating those opportunities with similarities to ease their study. Then, this work prioritized the opportunities based on their feasibility and positive impact, performing an additional consultation process to EU emergencies for validation. Finally, this investigation provided a roadmap for pre-standardization for the five top-ranked opportunities per dimension. RESULTS: This paper presents a set of 303 gaps and 255 opportunities across technological, procedural, collaboration, and training dimensions. After clustering the opportunities, this work provides a final set of 82 meta opportunities for improving emergency actions in the EU, prioritized based on their feasibility for adoption and positive impact. Finally, this work documents the roadmaps for three top-ranked opportunities for conciseness. CONCLUSION: This publication highlights the limitations and opportunities in the EU concerning emergency agencies and, more specifically, those existing in cross-border and multi-casualty incidents. This work concludes that there is still room for improvement despite the current measures toward harmonization and standardization.

Breaching Subjects' Thoughts Privacy: A Study with Visual Stimuli and Brain-Computer Interfaces.

Brain-computer interfaces (BCIs) started being used in clinical scenarios, reaching nowadays new fields such as entertainment or learning. Using BCIs, neuronal activity can be monitored for various purposes, with the study of the central nervous system response to certain stimuli being one of them, being the case of evoked potentials. However, due to the sensitivity of these data, the transmissions must be protected, with blockchain being an interesting approach to ensure the integrity of the data. This work focuses on the visual sense, and its relationship with the P300 evoked potential, where several open challenges related to the privacy of subjects' information and thoughts appear when using BCI. The first and most important challenge is whether it would be possible to extract sensitive information from evoked potentials. This aspect becomes even more challenging and dangerous if the stimuli are generated when the subject is not aware or conscious that they have occurred. There is an important gap in this regard in the literature, with only one work existing dealing with subliminal stimuli and BCI and having an unclear methodology and experiment setup. As a contribution of this paper, a series of experiments, five in total, have been created to study the impact of visual stimuli on the brain tangibly. These experiments have been applied to a heterogeneous group of ten subjects. The experiments show familiar visual stimuli and gradually reduce the sampling time of known images, from supraliminal to subliminal. The study showed that supraliminal visual stimuli produced P300 potentials about 50% of the time on average across all subjects. Reducing the sample time between images degraded the attack, while the impact of subliminal stimuli was not confirmed. Additionally, younger subjects generally presented a shorter response latency. This work corroborates that subjects' sensitive data can be extracted using visual stimuli and P300.

COnVIDa: COVID-19 multidisciplinary data collection and dashboard.

Since the first reported case in Wuhan in late 2019, COVID-19 has rapidly spread worldwide, dramatically impacting the lives of millions of citizens. To deal with the severe crisis resulting from the pandemic, worldwide institutions have been forced to make decisions that profoundly affect the socio-economic realm. In this sense, researchers from diverse knowledge areas are investigating the behavior of the disease in a rush against time. In both cases, the lack of reliable data has been an obstacle to carry out such tasks with accuracy. To tackle this challenge, COnVIDa (https://convida.inf.um.es) has been designed and developed as a user-friendly tool that easily gathers rigorous multidisciplinary data related to the COVID-19 pandemic from different data sources. In particular, the pandemic expansion is analyzed with variables of health nature, but also social ones, mobility, etc. Besides, COnVIDa permits to smoothly join such data, compare and download them for further analysis. Due to the open-science nature of the project, COnVIDa is easily extensible to any other region of the planet. In this way, COnVIDa becomes a data facilitator for decision-making processes, as well as a catalyst for new scientific researches related to this pandemic.