3 citations
- University College LondonGB3 papers
- Institute of AstronomyRU2 papers
- Institute of Astrophysics and Space SciencesPT2 papers
- Leiden UniversityNL2 papers
- Universidade do PortoPT2 papers
- Valongo ObservatoryBR2 papers
- Aalto UniversityFI1 paper
- Aix-Marseille UniversitéFR1 paper
- ARC Centre of Excellence for Dark Matter Particle PhysicsAU1 paper
- Arcetri Astrophysical ObservatoryIT1 paper
- Astronomical Institute of the Slovak Academy of SciencesSK1 paper
- Astronomical ObservatoryRS1 paper
5 papers
High-resolution radio imaging of TGSSJ1530+1049, a radio galaxy in a dense environment at z=4
K. Ã. Gabányi, S. Frey, L. I. Gurvits +10
High-redshift radio galaxies can provide insights into the structure formation and galaxy evolution at earlier cosmological epochs. TGSSJ1530+1049 was selected as a candidate high-…
Euclid Quick Data Release (Q1): Euclid spectroscopy of quasars. 1. Identification and redshift determination of 3500 bright quasars
Euclid Collaboration, Y. Fu, R. Bouwens +354
The slitless spectroscopy mode of the NISP onboard Euclid has enabled efficient spectroscopy of objects within a large FoV. We present a large and homogeneous sample of bright quas…
Unsupervised Multimodal Graph-based Model for Geo-social Analysis
Ehsaneddin Jalilian, Bernd Resch
The systematic analysis of user-generated social media content, especially when enriched with geospatial context, plays a vital role in domains such as disaster management and publ…
Unlocking Electronic Health Records: A Hybrid Graph RAG Approach to Safe Clinical AI for Patient QA
Samuel Thio, Matthew Lewis, Spiros Denaxas +1
Electronic health record (EHR) systems present clinicians with vast repositories of clinical information, creating a significant cognitive burden where critical details are easily…
The Linguistic Architecture of Reflective Thought: Evaluation of a Large Language Model as a Tool to Isolate the Formal Structure of Mentalization
Stefano Epifani, Giuliano Castigliego, Laura Kecskemeti +2
Background: Mentalization integrates cognitive, affective, and intersubjective components. Large Language Models (LLMs) display an increasing ability to generate reflective texts,…