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Mouse study identifies C1 neurons as a driver of prolonged fear and anxiety

Anxiety disorders affect more than 300 million people globally. Several brain regions have been linked to anxiety, but how these regions connect has been poorly understood. By exploring these connections, scientists at St. Jude Children’s Research Hospital revealed that epinephrine-producing C1 neurons in mice modulate fear and anxiety. They found that while the activity of these neurons was normally temporarily elevated in times of stress, prolonged activation led to heightened anxiety that could last many days. Inhibition of C1 neurons reduced anxiety-like behaviors, suggesting these neurons may be worth exploring as therapeutic targets for anxiety disorders. The findings were published today in Neuron.

Anxiety helps us prepare for future threats, but when it is excessive or persistent, it can significantly affect quality of life. Medications exist to alleviate symptoms but can have off-target effects that might discourage long-term use. By identifying C1 neurons as novel modulators of fear and anxiety, Lindsay Schwarz, Ph.D., Department of Developmental Neurobiology, is hopeful that these cells could serve as a new therapeutic target for anxiety-related disorders.

“C1 neurons appear to promote anxiety without directly affecting autonomic functions,” Schwarz said. “This suggests they may be a better target than broadly affecting signaling across the entire brain and body.”

Discovery helps explain why solid-state batteries often fail

Exactly how those dendrites form is still up for debate. While the interface between the battery’s electrolyte and electrodes has been the focus of most research, another culprit is the boundary where two grains of electrolyte in a solid material meet. Researchers know these boundaries can seed dendrites within electrolytes, although the effects have been difficult to study.

Now researchers at MIT and the Technical University of Munich have uncovered why such boundaries can lead to dendrites: Hidden electrical imbalances across the boundaries affect how the electrolyte conducts electrical charges, which influences how the ions and electrons move through the material during battery operation. In a paper published today in Nature Nanotechnology, the researchers characterized the electrical and chemical behavior of the boundaries and showed that adjusting how the electrolyte is processed enhances the movement of ions while reducing electron leakage. This adjustment can increase critical current density by more than 300 percent, which could enable solid-state batteries that charge faster and last longer.

Set theory | Two maths problem

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Beyond Agentic AI: The Emergence Of Cognitive AI Ecosystems

In the next decade, AI will likely undergo more significant changes than only becoming more independent; it will also grow more cognitive. AI systems will act as interconnected ecosystems that are capable of contextual awareness, cooperative reasoning, ongoing learning, and adaptive decision-making in almost every facet of society, rather than isolated applications.

Large language models of today are remarkable due to their ability to produce and anticipate information. Persistent memory, multimodal perception, long-term planning, causal reasoning, and self-directed learning within strictly regulated bounds will probably be characteristics of the AI of 2036. Similar to biological neural networks, millions of specialized AI agents will work together to create dynamic intelligence fabrics that continuously optimize national defense, manufacturing, transportation, financial markets, healthcare delivery, and energy grids.

The line between workforce and software will become increasingly hazy. Hundreds of thousands of AI agents working continuously alongside human employees may be employed by organizations as digital workforces. A customized constellation of AI advisers, researchers, legal assistants, financial analysts, engineers, and cybersecurity specialists working around the clock could be present for every knowledge worker. This shift signifies the emergence of an entirely new digital labor force in addition to automation.

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