Bio-inspired theoretical research may make robots more effective on the future battlefield

In an effort to make robots more effective and versatile teammates for Soldiers in combat, researchers are on a mission to understand the value of the molecular living functionality of muscle, and the fundamental mechanics that would need to be replicated in order to artificially achieve the capabilities arising from the proteins responsible for muscle contraction.

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Machine learning helps plant science turn over a new leaf

Researchers have developed machine-learning algorithms that teach a computer system to analyze three-dimensional shapes of the branches and leaves of a plant. The study may help scientists better quantify how plants respond to climate change, genetic mutations or other factors.

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Revamped crew scheduling model cuts airline delays by as much as 30%

Delays and disruptions in airline operations annually result in billions of dollars of additional costs to airlines, passengers and the economy. Airlines strive to mitigate these costs by creating schedules that are less likely to get disrupted or schedules that are easy to repair when there are disruptions — new research has found a solution using a mathematical optimization model.

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The fast dance of electron spins

Metal complexes show a fascinating behavior in their interactions with light, which for example is utilized in organic light emitting diodes, solar cells, quantum computers, or even in cancer therapy. In many of these applications, the electron spin, a kind of inherent rotation of the electrons, plays an important role. Researchers succeeded in simulating the extremely fast spin flip processes that are triggered by the light absorption of metal complexes.

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