Tootfinder

Mehr als 17.000 Menschen müssen in #Manitoba wegen schwerer #Waldbrände evakuiert werden.
Die Provinz hat den #Notstand ausgerufen, da sich Feuer über alle Regionen ausbreiten. Rund die …

A #ClimateChange increase in a ticks range creates ever more people allergic to #meat and #dairy, which reduces demand for the products of an industry that aggravates the

"Australia approves 250 MW agrivoltaic solar farm in Tasmania"
#Australia #Tasmania #Solar #SolarPower

Australia approves 250 MW agrivoltaic solar farm in Tasmania
Australia's federal government has approved a 250 MW agrivoltaic solar farm in Tasmania, following a 20-day review. The landowner-led project is designed to minimize environmental impact and integrate solar generation with agricultural use.

Celebrating 10 Years of EaPConnect! 🎉
For a decade, EaPConnect has empowered universities, research institutions, and students across Armenia, Azerbaijan, Georgia, Moldova, and Ukraine, providing high-capacity network infrastructure and fostering international collaboration.
As it nears completion in 2025, Rosanna Cramarossa Norman spoke with NREN directors about the project's impact.
🔗 Read the full interview in the latest edition of

Celebrating 10 Years of EaPConnect: Voices from the NRENs | GÉANT CONNECT Online
We are joined by the directors of the five NRENs beneficiary partners involved in the EU-funded ‘EU4Digital: Connecting Research and Education Communities (EaPConnect)’ project: ASNET from Armenia, AzScienceNet from Azerbaijan, GRENA from Georgia, RENAM from Moldova and URAN from Ukraine. Launched in 2015, the EaPConnect project has empowered universities, research institutions, and students throughout the Eastern

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,…