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Ancient bone may prove legendary war elephant crossing of Alps

BBC News

An elephant foot bone found by archaeologists digging in southern Spain may be evidence that a troop of war elephants stomped through ancient Europe. It would be the first concrete proof of the legendary Carthaginian General Hannibal's troop of battle elephants, according to academics. Drawings of Hannibal's war against the Romans had long suggested that the beasts were used in fighting, but no hard evidence backed up the theories. Now the creatures' skeletal remains appear to have been found in an Iron Age dig near Cordoba. Beyond ivory, the discovery of elephant remains in European archaeological contexts is exceptionally rare, says the team of scientists in a paper published in Journal of Archaeological Science: Reports.


Aerial footage shows flooded cities as storms hit Spain

BBC News

Aerial footage showed the extend of floods in Spain after a series of storms hit the Iberian Peninsula. Storm Marta hit Spain on Saturday, bringing more rain to the region, as it was still recovering from Storm Leonardo. In Córdoba, drone footage showed flooded olive trees as Spanish farmers warned of the millions of euros worth of damage to crops following the torrential rains and high winds. In the country's southern region of Andalucia, over 11,000 people have been displaced. Nazar Daletskyi's relatives were told he had been killed in 2022, the first year of Russia's full-scale invasion.


Spain set to ban social media for children under 16

Engadget

Spanish Prime Minister Pedro Sanchez says children must be protected from the'failed state' of social media. Spain will join the growing list of countries banning access to social media for children, Prime Minister Pedro Sanchez Tuesday. The law will apply to users under 16 years of age amidst a broader push to hold social media companies accountable for hate speech, social division and illegal content. He spoke to the importance of digital governance for these platforms, highlighting recent incidents like X's AI chatbot Grok sexualized images of children, and the myriad that have taken place on Facebook. In light of what Sanchez called the integral role social media plays in the lives of young users, he said the best way to help them is to take back control.


The World Cup draw is here - this is how it will work

BBC News

Pots, quadrants, confederation constraints, group position grids... the 2026 World Cup finals draw on Friday is not going to be a straightforward affair. There's a lot to unpack so we're going to explain it as simply as we can. Luckily, Fifa will have a computer to do most of the heavy lifting and make sure everything runs smoothly. Though as Uefa found out in 2021, sometimes technology does go wrong. Let's hope there will be no gremlins in Washington once the draw ceremony kicks off.


IberFire -- a detailed creation of a spatio-temporal dataset for wildfire risk assessment in Spain

Erzibengoa, Julen, Gómez-Omella, Meritxell, Goienetxea, Izaro

arXiv.org Artificial Intelligence

Wildfires pose a threat to ecosystems, economies and public safety, particularly in Mediterranean regions such as Spain. Accurate predictive models require high-resolution spatio-temporal data to capture complex dynamics of environmental and human factors. To address the scarcity of fine-grained wildfire datasets in Spain, we introduce IberFire: a spatio-temporal dataset with 1 km x 1 km x 1-day resolution, covering mainland Spain and the Balearic Islands from December 2007 to December 2024. IberFire integrates 120 features across eight categories: auxiliary data, fire history, geography, topography, meteorology, vegetation indices, human activity and land cover. All features and processing rely on open-access data and tools, with a publicly available codebase ensuring transparency and applicability. IberFire offers enhanced spatial granularity and feature diversity compared to existing European datasets, and provides a reproducible framework. It supports advanced wildfire risk modelling via Machine Learning and Deep Learning, facilitates climate trend analysis, and informs fire prevention and land management strategies. The dataset is freely available on Zenodo to promote open research and collaboration.


Invited to Develop: Institutional Belonging and the Counterfactual Architecture of Development

Vallarino, Diego

arXiv.org Artificial Intelligence

This paper examines how institutional belonging shapes long-term development by comparing Spain and Uruguay, two small democracies with similar historical endowments whose trajectories diverged sharply after the 1960s. While Spain integrated into dense European institutional architectures, Uruguay remained embedded within the Latin American governance regime, characterized by weaker coordination and lower institutional coherence. To assess how alternative institutional embeddings could have altered these paths, the study develops a generative counterfactual framework grounded in economic complexity, institutional path dependence, and a Wasserstein GAN trained on data from 1960-2020. The resulting Expected Developmental Shift (EDS) quantifies structural gains or losses from hypothetical re-embedding in different institutional ecosystems. Counterfactual simulations indicate that Spain would have experienced significant developmental decline under a Latin American configuration, while Uruguay would have achieved higher complexity and resilience within a European regime. These findings suggest that development is not solely determined by domestic reforms but emerges from a country's structural position within transnational institutional networks.


Multilingual Lexical Feature Analysis of Spoken Language for Predicting Major Depression Symptom Severity

Tokareva, Anastasiia, Dineley, Judith, Firth, Zoe, Conde, Pauline, Matcham, Faith, Siddi, Sara, Lamers, Femke, Carr, Ewan, Oetzmann, Carolin, Leightley, Daniel, Zhang, Yuezhou, Folarin, Amos A., Haro, Josep Maria, Penninx, Brenda W. J. H., Bailon, Raquel, Vairavan, Srinivasan, Wykes, Til, Dobson, Richard J. B., Narayan, Vaibhav A., Hotopf, Matthew, Cummins, Nicholas, Consortium, The RADAR-CNS

arXiv.org Artificial Intelligence

Background: Captured between clinical appointments using mobile devices, spoken language has potential for objective, more regular assessment of symptom severity and earlier detection of relapse in major depressive disorder. However, research to date has largely been in non-clinical cross-sectional samples of written language using complex machine learning (ML) approaches with limited interpretability. Methods: We describe an initial exploratory analysis of longitudinal speech data and PHQ-8 assessments from 5,836 recordings of 586 participants in the UK, Netherlands, and Spain, collected in the RADAR-MDD study. We sought to identify interpretable lexical features associated with MDD symptom severity with linear mixed-effects modelling. Interpretable features and high-dimensional vector embeddings were also used to test the prediction performance of four regressor ML models. Results: In English data, MDD symptom severity was associated with 7 features including lexical diversity measures and absolutist language. In Dutch, associations were observed with words per sentence and positive word frequency; no associations were observed in recordings collected in Spain. The predictive power of lexical features and vector embeddings was near chance level across all languages. Limitations: Smaller samples in non-English speech and methodological choices, such as the elicitation prompt, may have also limited the effect sizes observable. A lack of NLP tools in languages other than English restricted our feature choice. Conclusion: To understand the value of lexical markers in clinical research and practice, further research is needed in larger samples across several languages using improved protocols, and ML models that account for within- and between-individual variations in language.


The Integration of Artificial Intelligence in Undergraduate Medical Education in Spain: Descriptive Analysis and International Perspectives

Janeiro, Ana Enériz, Pereira, Karina Pitombeira, Mayol, Julio, Crespo, Javier, Carballo, Fernando, Cabello, Juan B., Ramos-Casals, Manel, Corbacho, Bibiana Pérez, Turnes, Juan

arXiv.org Artificial Intelligence

AI is transforming medical practice and redefining the competencies that future healthcare professionals need to master. Despite international recommendations, the integration of AI into Medicine curricula in Spain had not been systematically evaluated until now. A cross-sectional study (July-September 2025) including Spanish universities offering the official degree in Medicine, according to the 'Register of Universities, Centers and Degrees (Registro de Universidades, Centros y Títulos RUCT)'. Curricula and publicly available institutional documentation were reviewed to identify courses and competencies related to AI in the 2025-2026 academic year. The analysis was performed using descriptive statistics. Of the 52 universities analyzed, ten (19.2%) offer specific AI courses, whereas 36 (69.2%) include no related content. Most of the identified courses are elective, with a credit load ranging from three to six ECTS, representing on average 1.17% of the total 360 credits of the degree. The University of Jaén is the only institution offering a compulsory course with AI content. The territorial analysis reveals marked disparities: Andalusia leads with 55.5% of its universities incorporating AI training, while several communities lack any initiative in this area. The integration of AI into the medical degree in Spain is incipient, fragmented, and uneven, with a low weight in ECTS. The limited training load and predominance of elective courses restrict the preparation of future physicians to practice in a healthcare environment increasingly mediated by AI. The findings support the establishment of minimum standards and national monitoring of indicators.


He Wrote a Book About Antifa. Death Threats Are Driving Him Out of the US

WIRED

He Wrote a Book About Antifa. Rutgers historian Mark Bray is trying to flee to Spain after an online campaign from far-right influencers was followed by death threats. He was turned back at the airport on his first attempt. A professor at Rutgers University who wrote a book about " antifa " almost a decade ago is trying--and struggling--to flee the US for Europe after a weeks-long online campaign against him by far-right influencers was followed by death threats. Mark Bray, a historian at Rutgers who specializes in Spanish history and radicalism, has been a far-right target ever since he published in 2017.


More holidaymakers using AI to plan trips

BBC News

More holidaymakers are turning to AI when planning or booking their trips, according to travel association ABTA. The body found that 8% of travellers were using AI - up from 4% last year - with younger holidaymakers more likely to use the technology when planning their trips. However, AI still lagged a long way behind more established methods - such as general internet searches and asking family and friends. Overall, the number of people taking a holiday continued a recent trend of climbing back towards pre-pandemic levels, ABTA said. The travel body described the increase in customers using AI as both a challenge and an opportunity.