Tootfinder

JD Vance flunks the basics on World War II as the White House targets history museums (Steve Benen/MSNBC)
https://www.msnbc.com/rachel-maddow-show/maddowblog/jd-vance-flunks-basics-world-war-ii-white-house-targets-history-museum-rcna226952
http://www.memeorandum.com/250825/p67#a250825p67

Niet gek als je een kabiniet hebt.
Nederlandse EU-invloed 'verschrompeld' tijdens kabinet-Schoof https://nos.nl/l/2587472

Nederlandse EU-invloed 'verschrompeld' tijdens kabinet-Schoof
De afgelopen anderhalf jaar is ons land flink wat invloed kwijtgeraakt binnen de EU, zeggen diplomaten tegen de NOS.

Heeft de coalitie dan toch iets "bereikt" voor hun achterban?
Nederlandse EU-invloed 'verschrompeld' tijdens kabinet-Schoof https://nos.nl/l/2587472

Nederlandse EU-invloed 'verschrompeld' tijdens kabinet-Schoof
De afgelopen anderhalf jaar is ons land flink wat invloed kwijtgeraakt binnen de EU, zeggen diplomaten tegen de NOS.

BaMANI: Bayesian Multi-Algorithm causal Network Inference
Habibolla Latifizadeh, Anika C. Pirkey, Alanna Gould, David J. Klinke II
https://arxiv.org/abs/2508.11741 https://

BaMANI: Bayesian Multi-Algorithm causal Network Inference
Improved computational power has enabled different disciplines to predict causal relationships among modeled variables using Bayesian network inference. While many alternative algorithms have been proposed to improve the efficiency and reliability of network prediction, the predicted causal networks reflect the generative process but also bear an opaque imprint of the specific computational algorithm used. Following a ``wisdom of the crowds" strategy, we developed an ensemble learning approach …

Stochastic Modeling of Filtration with Sieving in Graded Pore Networks
Binan Gu, Pejman Sanaei, Lou Kondic, Linda J. Cummings
https://arxiv.org/abs/2508.11820 https://

Stochastic Modeling of Filtration with Sieving in Graded Pore Networks
We model filtration of a feed solution, containing both small and large foulant particles, by a membrane filter. The membrane interior is modeled as a network of pores, allowing for the simultaneous adsorption of small particles and sieving of large particles, two fouling mechanisms typically observed during the early stages of commercial filtration applications. In our model, first-principles continuum partial differential equations model transport of the small particles and adsorptive fouling…

Fusion of 12C 28Si at deep sub-barrier energies
A. M. Stefanini, G. Montagnoli, M. Del Fabbro, A. Goasduff, P. A. Aguilera Jorquera, G. Andreetta, F. Angelini, L. V. DAuria, M. Balogh, D. Bazzacco, J. Benito, G. Benzoni, M. A. Bentley, N. Bez, A. Bonhomme, S. Bottoni, A. Bracco, D. Brugnara, L. Busak, S. Capra, S. Carollo, S. Casans, E. Clement, P. Cocconi, A. Cogo, G. Colucci, A. Conte, E. Coradin, L. Corradi, S. Courtin, G. DeAngelis, J. M. Deltoro, G. Del Piero, R. Depalo, J. Dudoue…

Fusion of 12C+28Si at deep sub-barrier energies
The existence of fusion hindrance is not well established in light heavy-ion systems. Studying slightly heavier cases allows extrapolating the trend to light systems of astrophysical interest. Fusion of 12C + 28Si has been measured down to deep sub-barrier energies, using 28Si beams from the XTU Tandem accelerator of LNL on thin 12C targets. The fusion-evaporation residues were detected by a detector telescope following an electrostatic beam separator, and coincidences between the gamma-ray arr…

Additive Approximation Schemes for Low-Dimensional Embeddings
Prashanti Anderson, Ainesh Bakshi, Samuel B. Hopkins
https://arxiv.org/abs/2509.09652 https://

Additive Approximation Schemes for Low-Dimensional Embeddings
We consider the task of fitting low-dimensional embeddings to high-dimensional data. In particular, we study the $k$-Euclidean Metric Violation problem ($\textsf{$k$-EMV}$), where the input is $D \in \mathbb{R}^{\binom{n}{2}}_{\geq 0}$ and the goal is to find the closest vector $X \in \mathbb{M}_{k}$, where $\mathbb{M}_k \subset \mathbb{R}^{\binom{n}{2}}_{\geq 0}$ is the set of all $k$-dimensional Euclidean metrics on $n$ points, and closeness is formulated as the following optimization problem…