Tootfinder

Took this bad boy to Madrid. ❤️🇪🇸
#trains #publictransport #Spain

Another great photo!
Members of the Spanish anarcho-syndicalist trade union #CNT marching in Madrid in 2010.
Source: https://commons.wikimedia.org/wiki/Fil…

Various Artist – Madrid Austral
#byncsa

Normal que haya tanta criminalidad si tienen a la policía espiando asambleas donde se habla de cambio climštico https://www.elsaltodiario.com/madrid/nieves-otra-policia-infiltrada-movimiento-ecologista-madrid

train_terrorists: Madrid train bombing terrorists (2004)
A network of associations among the terrorists involved in the 2004 Madrid train bombing, as reconstructed from press stories after-the-fact. Edge weights encode four levels of connection strength: friendships, ties to Al Qaeda and Osama Bin Laden, co-participants in wars, and co-participants in previous terrorist attacks.
This network has 64 nodes and 243 edges.
Tags: Social, Offline, Weighted

🚆 Oye, sabemos algo de la reapertura de la línea C-9 de Cercanías Madrid? La de #Cotos
📺 Aquí TeleMadrid decía que cerraba 1 año, que se cumplirš pronto:

Ordis et tablettes Š l'école:
"Le gouvernement régional de Madrid a dévoilé des plans visant Š limiter l'utilisation des ordinateurs et des tablettes dans les écoles primaires Š un maximum de deux heures par semaine afin de lutter contre « les risques associés Š l'utilisation précoce, intensive et inappropriée des technologies de l'information »."

A deep learning model for chemical shieldings in molecular organic solids including anisotropy
Matthias Kellner, Jacob B. Holmes, Ruben Rodriguez-Madrid, Florian Viscosi, Yuxuan Zhang, Lyndon Emsley, Michele Ceriotti
https://arxiv.org/abs/2506.13146

A deep learning model for chemical shieldings in molecular organic solids including anisotropy
Nuclear Magnetic Resonance (NMR) chemical shifts are powerful probes of local atomic and electronic structure that can be used to resolve the structures of powdered or amorphous molecular solids. Chemical shift driven structure elucidation depends critically on accurate and fast predictions of chemical shieldings, and machine learning (ML) models for shielding predictions are increasingly used as scalable and efficient surrogates for demanding ab initio calculations. However, the prediction acc…

Portnov reportedly met controversial Zelensky staffer, Ukraine's investigations chief before being killed in Madrid: https://benborges.xyz/2025/05/29/portnov-reportedly-met-controversial-zelensky.html

Netflix co-CEO Ted Sarandos says the company will invest over €1B in Spain from 2025 to 2028; Netflix has an 8.7M subscriber base in the country (John Hopewell/Variety)
https://variety.com/2025/tv/global/netflix-spain-1-2-billion-…

Netflix Commits to Invest Over $1.2 Billion in Spain Over 2025-28 
Made by Netflix co-CEO Ted Sarandos in Madrid Tuesday, the commitment reflects the extraordinary global results of standout Spanish shows and movies.

train_terrorists: Madrid train bombing terrorists (2004)
A network of associations among the terrorists involved in the 2004 Madrid train bombing, as reconstructed from press stories after-the-fact. Edge weights encode four levels of connection strength: friendships, ties to Al Qaeda and Osama Bin Laden, co-participants in wars, and co-participants in previous terrorist attacks.
This network has 64 nodes and 243 edges.
Tags: Social, Offline, Weighted

Millions of public euros subsidize bullfighting through regional televisions https://www.animanaturalis.org/n/46882?utm_source=Mastodon
Madrid raises its voice against bullfighting and for a cruelty-free culture

Millions of public euros subsidize bullfighting through regional televisions
We reveal the hidden cost of public funding for bullfighting broadcasts on Spain’s regional television channels, which has increased in recent years, especially in those Autonomous Communities governed by the Partido Popular and VOX.

Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces
Marcos Matabuena, Rahul Ghosal, Pavlo Mozharovskyi, Oscar Hernan Madrid Padilla, Jukka-Pekka Onnela
https://arxiv.org/abs/2506.08325

Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces
Depth measures are powerful tools for defining level sets in emerging, non--standard, and complex random objects such as high-dimensional multivariate data, functional data, and random graphs. Despite their favorable theoretical properties, the integration of depth measures into regression modeling to provide prediction regions remains a largely underexplored area of research. To address this gap, we propose a novel, model-free uncertainty quantification algorithm based on conditional depth mea…

Disentangling Spatial and Structural Drivers of Housing Prices through Bayesian Networks: A Case Study of Madrid, Barcelona, and Valencia
Alvaro Garcia Murga, Manuele Leonelli
https://arxiv.org/abs/2506.09539

Disentangling Spatial and Structural Drivers of Housing Prices through Bayesian Networks: A Case Study of Madrid, Barcelona, and Valencia
Understanding how housing prices respond to spatial accessibility, structural attributes, and typological distinctions is central to contemporary urban research and policy. In cities marked by affordability stress and market segmentation, models that offer both predictive capability and interpretive clarity are increasingly needed. This study applies discrete Bayesian networks to model residential price formation across Madrid, Barcelona, and Valencia using over 180,000 geo-referenced housing l…

D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage
Maxime Gonthier (University of Chicago, Argonne National Laboratory), Dante D. Sanchez-Gallegos (Universidad Carlos III de Madrid), Haochen Pan (University of Chicago), Bogdan Nicolae (Argonne National Laboratory), Sicheng Zhou (Southern University of Science and Technology), Hai Duc Nguyen (University of Chicago, Argonne National Laboratory), Valerie Hayot-Sasson (University of Chicago, Ar…

D-Rex: Heterogeneity-Aware Reliability Framework and Adaptive Algorithms for Distributed Storage
The exponential growth of data necessitates distributed storage models, such as peer-to-peer systems and data federations. While distributed storage can reduce costs and increase reliability, the heterogeneity in storage capacity, I/O performance, and failure rates of storage resources makes their efficient use a challenge. Further, node failures are common and can lead to data unavailability and even data loss. Erasure coding is a common resiliency strategy implemented in storage systems to mi…

I had a lunch in the oldest restaurant in the world according to the Guiness. Truthfully, not worth a hassle. @…
#madrid #botin

A Wide Field Map of Ultra-Compact Dwarfs in the Coma Cluster
Richard T. Pomeroy, Juan P. Madrid, Conor R. O'Neill, Alexander T. Gagliano
https://arxiv.org/abs/2506.02296

A Wide Field Map of Ultra-Compact Dwarfs in the Coma Cluster
A dataset of 23,351 globular clusters (GCs) and ultra-compact dwarfs (UCDs) in the Coma cluster of galaxies was built using Hubble Space Telescope Advanced Camera for Surveys data. Based on the standard magnitude cut of $M_V \leq -11$, a total of 523 UCD candidates are found within this dataset of Compact Stellar Systems (CSS). From a color-magnitude diagram (CMD) analysis built using this catalog, we find a clear mass-magnitude relation extending marginally into the UCD parameter space. The lu…

Microscopic analysis of the giant monopole resonance excitation energy
M. K. Gaidarov, M. V. Ivanov, Y. I. Katsarov, A. N. Antonov, I. C. Danchev
https://arxiv.org/abs/2506.08736 …

Microscopic analysis of the giant monopole resonance excitation energy
A systematic study of the isoscalar giant monopole resonance (ISGMR) in a wide range of nuclei from various isotopic chains is performed within the microscopic self-consistent Skyrme HF+BCS method and coherent density fluctuation model (CDFM). The calculations for the nuclear incompressibility are based on the Brueckner and Barcelona-Catania-Paris-Madrid (BCPM) energy density functionals for nuclear matter using the capability of the CDFM to make a transition to the corresponding incompressibil…