Tootfinder

This is part of the overall assault on knowledge that the administration is undertaking.
Everything that has made this nation a shining beacon in any way whatsoever is being dismantled
-- with the worst aspects of American history being held up as aspirational.
Please call Congress if you are able.
🛰️🧪

Azerbaijan detains alleged Russian spies as relations with Moscow nosedive: https://benborges.xyz/2025/06/30/azerbaijan-detains-alleged-russian-spies.html

From ⁨⁨⁨⁨⁨#AnnafromUkraine⁩⁩⁩⁩⁩ @AnnafromUkraine@youtube.com
🧵 👇
RUSSIA LOSES INFLUENCE: AZERBAIJAN ESCALATION Vlog 1090: War in Ukraine
#Azerbaijan-#Russia rift deepens after police a…

«L’Allemagne doit s’engager de toutes ses forces pour préserver la sécurité d’Israël et des Juifs dans le monde, mais cela ne justifie pas tout. Affamer les Palestiniens et aggraver délibérément la situation humanitaire de manière dramatique n’a rien Š voir avec la garantie du droit Š l’existence d’Israël, et cela ne peut pas non plus être la raison d’Etat allemande», estime Merz.
https://www.letemps.ch/monde/depassee-vis-a-vis-d-israel-depuis-le-7-octobre-l-allemagne-change-de-ton-face-au-desastre-de-gaza

High-Dimensional Spatial-Plus-Vertical Price Relationships and Price Transmission: A Machine Learning Approach
Mindy L. Mallory, Rundong Peng, Meilin Ma, H. Holly Wang
https://arxiv.org/abs/2506.13967

High-Dimensional Spatial-Plus-Vertical Price Relationships and Price Transmission: A Machine Learning Approach
Price transmission has been studied extensively in agricultural economics through the lens of spatial and vertical price relationships. Classical time series econometric techniques suffer from the "curse of dimensionality" and are applied almost exclusively to small sets of price series, either prices of one commodity in a few regions or prices of a few commodities in one region. However, an agrifood supply chain usually contains several commodities (e.g., cattle and beef) and spans numerous re…

Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material
Shahab Azarfar, Joseph B. Choi, Phong CH. Nguyen, Yen T. Nguyen, Pradeep Seshadri, H. S. Udaykumar, Stephen Baek
https://arxiv.org/abs/2506.12996

Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material
Coupling of physics across length and time scales plays an important role in the response of microstructured materials to external loads. In a multi-scale framework, unresolved (subgrid) meso-scale dynamics is upscaled to the homogenized (macro-scale) representation of the heterogeneous material through closure models. Deep learning models trained using meso-scale simulation data are now a popular route to assimilate such closure laws. However, meso-scale simulations are computationally taxing,…