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Scientists Develop Floating Device That Harvests Energy From Raindrops

A new water-integrated droplet electricity generator produces high electrical output while floating on water surfaces. Raindrops are not only a source of fresh water, they also carry unused energy that falls naturally from the sky. Scientists have long explored ways to convert this falling water in

AI model identifies high-performing battery electrolytes by starting from just 58 data points

In an ideal world, an AI model looking for new materials to build better batteries would be trained on millions or even hundreds of millions of data points.

But for emerging next-generation battery chemistries that don’t have decades of research behind them, waiting for new studies takes time the world doesn’t have.

“Each experiment takes up to weeks, months to get ,” said University of Chicago Pritzker School of Molecular Engineering (UChicago PME) Schmidt AI in Science Postdoctoral Fellow Ritesh Kumar. “It’s just infeasible to wait until we have millions of data to train these models.”

Rare lost allele that boosts soybean seed protein identified

A research team led by Prof. Hou Xingliang from the South China Botanical Garden of the Chinese Academy of Sciences has used genome-wide association studies (GWAS) to identify a rare allele that controls seed protein content and was lost during soybean domestication.

Their findings were published in the Proceedings of the National Academy of Sciences on Oct. 30.

Domesticating into crops represents a breakthrough in human history, yet key beneficial traits are often lost in the process. Soybeans are a good example. Modern soybean cultivars have lower seed protein content (30%–40%) than their wild ancestors, wild soybeans (Glycine soja), which typically contain 50%–60% protein. Since soybeans (Glycine max [L.] Merr.) are the primary source of plant-based protein for both and , increasing seed protein content is a critical goal for .

AI: Physiognomy & Stereotypes ARE REAL

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