Tag: fuel

Build real-world resilience with a simple, category-based system that covers emergency food, portable water filtration, solar power, and off-grid heating—designed for modern families facing blackouts, disasters, or disruptions in 2025.

As the world fixates on cyber warfare, grid instability, and rising tensions in the Middle East, a quieter alarm is sounding beneath the headlines. It doesn’t come from mainstream media, but from former defense insiders and everyday Americans quietly preparing for a different kind of threat — one that won’t announce itself with sirens or headlines. That’s the driving force behind Dark Reset: Survival Before the Silence, a civilian resilience system based on the belief that the next collapse won’t start with fire — it’ll start with silence.

Leveraging the feasibility results from the NRCan-funded project, the project team is now aiming to complete the front-end engineering design for three facilities to convert wood waste feedstock into renewable diesel fuel

En s’appuyant sur les résultats de faisabilité du projet financé par RNCan, l’équipe du projet vise désormais à achever la conception technique préliminaire de trois installations destinées à convertir les déchets de bois en carburant diesel renouvelable

Jinhua, China, Aug. 01, 2025 (GLOBE NEWSWIRE) -- Kandi Technologies Group, Inc. (the “Company”, “we” or “Kandi Technologies”) (NASDAQ GS: KNDI), long renowned as a leader in all-electric personal transportation and utility vehicles, today announced its successful participation in the 2025 World Artificial Intelligence Conference (WAIC) in Shanghai, where it highlighted its AI-native technology innovations. During the event, Kandi Technologies’ strategic collaboration with Deep Robotics was featured as part of the broader conversation around intelligent mobility solutions.

With over $4 billion in net assets, the Global X Uranium ETF is the world’s preeminent ETF providing investors broad exposure to companies involved in uranium mining and the production of nuclear components