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Standseilbahn Lissabon: Zugseil war ungeeignet und nicht zugelassen. 16 Tote
CDU, CSU, FDP, SPD, AfD: Bürokratieabbau! Seilbahnbetreiber wissen besser was für Seile sie verwenden. Seilbahnbetreiber nehmen keine tödlichen Seile. Der Markt regelt.

Nieuw spoor tussen Madrid en Lissabon moet Iberisch Schiereiland aansluiten op Europees treinnetwerk | de Volkskrant
Dat is vast eerder klaar dan de Lelylijn
https://archive.ph/kEvc3

On the false election between regulation and innovation. Ideas for regulation through the responsible use of artificial intelligence in research and education.[Spanish version]
Pompeu Casanovas (IIIA-CSIC)
https://arxiv.org/abs/2510.07268

On the false election between regulation and innovation. Ideas for regulation through the responsible use of artificial intelligence in research and education.[Spanish version]
This short essay is a reworking of the answers offered by the author at the Debate Session of the AIHUB (CSIC) and EduCaixa Summer School, organized by Marta Garcia-Matos and Lissette Lemus, and coordinated by Albert Sabater (OEIAC, UG), with the participation of Vanina Martinez-Posse (IIIA-CSIC), Eulalia Soler (Eurecat) and Pompeu Casanovas (IIIA-CSIC) on July 4th 2025. Albert Sabater posed three questions: (1) How can regulatory frameworks priori-tise the protection of fundamental rights (pri…

Composition of planetary debris around the white dwarf GD 362
William T. Reach, Mukremin Kilic, Carey M. Lisse, John H. Debes, Ted von Hippel, Bianca Azartash-Namin, Loic Albert, Susan E. Mullally, Fergal Mullally, Misty Cracraft, Madison Bernice, Selin L. Erickson
https://arxiv.org/abs/2510.07595 …

Composition of planetary debris around the white dwarf GD 362
White dwarf stars with high abundances of heavy elements in their atmospheres and infrared excesses are believed to be accreting planetary material. GD 362 is one of the most heavily polluted white dwarfs and has an exceptionally strong mid-infrared excess, reprocessing 2.4% of the star's light into the mid-infrared. We present a high signal-to-noise, medium-resolution spectrum of GD 362 obtained with JWST, covering 0.6 to 17 microns, along with photometry out to 25.5 microns. The mid-infrared …

Text-Based Approaches to Item Alignment to Content Standards in Large-Scale Reading & Writing Tests
Yanbin Fu, Hong Jiao, Tianyi Zhou, Robert W. Lissitz, Nan Zhang, Ming Li, Qingshu Xu, Sydney Peters
https://arxiv.org/abs/2509.26431

Text-Based Approaches to Item Alignment to Content Standards in Large-Scale Reading & Writing Tests
Aligning test items to content standards is a critical step in test development to collect validity evidence based on content. Item alignment has typically been conducted by human experts. This judgmental process can be subjective and time-consuming. This study investigated the performance of fine-tuned small language models (SLMs) for automated item alignment using data from a large-scale standardized reading and writing test for college admissions. Different SLMs were trained for alignment at…

Teaching AI to Feel: A Collaborative, Full-Body Exploration of Emotive Communication
Esen K. T\"ut\"unc\"u, Lissette Lemus, Kris Pilcher, Holger Sprengel, Jordi Sabater-Mir
https://arxiv.org/abs/2509.22168

Teaching AI to Feel: A Collaborative, Full-Body Exploration of Emotive Communication
Commonaiverse is an interactive installation exploring human emotions through full-body motion tracking and real-time AI feedback. Participants engage in three phases: Teaching, Exploration and the Cosmos Phase, collaboratively expressing and interpreting emotions with the system. The installation integrates MoveNet for precise motion tracking and a multi-recommender AI system to analyze emotional states dynamically, responding with adaptive audiovisual outputs. By shifting from top-down emotio…

Crosslisted article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new
[1/1]:
- Advancing Automated Spatio-Semantic Analysis in Picture Description Using Language Models
Si-Ioi Ng, Pranav S. Ambadi, Kimberly D. Mueller, Julie Liss, Visar Berisha

Effect of modeling subject-specific cortical folds on brain injury risk prediction under blunt impact loading
Anu Tripathi, Alison Brooks, Traci Snedden, Peter Ferrazzano, Christian Franck, Rika Wright Carlsen
https://arxiv.org/abs/2510.08379

Effect of modeling subject-specific cortical folds on brain injury risk prediction under blunt impact loading
Purpose: Computational head models are essential tools for studying the risk of mild traumatic brain injury (mTBI) under different activities and across populations. However, different computational models incorporate varied levels of anatomical details, such as cortical folds. In this study, we aim to determine the effect of modeling cortical folds on mTBI risk assessment. Methods: We compared the gyrencephalic (with cortical folds) and lissencephalic (without cortical folds) FE models of 18…