RSS feed source: Global Disaster Alert and Coordination Systems (GDACS).
On 10/1/2025 1:49:49 PM, an earthquake occurred in Indonesia potentially affecting 100 thousand in MMI III. The earthquake had Magnitude 5.6M, Depth:151.4km.
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RSS feed source: Global Disaster Alert and Coordination Systems (GDACS).
In-brief analysis
October 1, 2025
In 2023, Texas consumed more energy than any other state. Total energy consumption in Texas was twice as much as in California, the second-highest consuming state, and more than three times as much as in Florida, the third-highest consuming state, according to recently released data in our State Energy Data System (SEDS). U.S. total energy use peaked in 2007, and between 2007 and 2023, Texas’s energy consumption increased 21%, while U.S. energy use decreased 5%. According to our SEDS data, most of the energy consumption growth in Texas is attributable to increased industrial activity, population, and electricity demand.
In 2023, energy consumption in Texas was higher than in any other state for every sector. Texas also consumed more coal, natural gas, and petroleum than any other state, and it was second only
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In-brief analysis
October 3, 2025
The value of all energy trade between the United States and Mexico was estimated to be $57 billion in 2024, down from nearly $72 billion in 2023, according to data from the U.S. Census Bureau. A combination of lower petroleum output from Mexico and lower fuel prices, particularly for petroleum products that make up the bulk of the cross-border energy trade between the two countries, drove most of the decrease.
Energy trade value represents the total value of energy imports and exports between two countries and is driven by commodity volumes and prices. Most of the energy trade value between the United States and Mexico comes from U.S. exports of refined petroleum products to Mexico—$37 billion in 2024—which accounted for 64% of the total energy value traded between the two countries.
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A powerful new AI tool called Diag2Diag is revolutionizing fusion research by filling in missing plasma data with synthetic yet highly detailed information. Developed by Princeton scientists and international collaborators, this system uses sensor input to predict readings other diagnostics can’t capture, especially in the crucial plasma edge region where stability determines performance. By reducing reliance on bulky hardware, it promises to make future fusion reactors more compact, affordable, and reliable.
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