Agencies

Carroll, Houston and Wayne Counties Eligible for FEMA Public Assistance

Published: 15 July 2025
Categories: FEMA News

RSS feed source: Federal Emergency Management Agency

Local governments and certain nonprofit organizations in Carroll, Houston and Wayne counties are now eligible for FEMA Public Assistance grants for debris removal, emergency protective measures and permanent work to repair public facilities that were damaged by the April 2-24 severe storms, straight-line winds, tornadoes and flooding. 

These counties join Cheatham, Davidson, Decatur, Dyer, Fayette, Gibson, Grundy, Hardeman, Hardin, Haywood, Henry, Hickman, Lauderdale, Madison, McNairy, Obion, Perry, Stewart and Tipton counties which were all previously approved for FEMA Public Assistance. 

FEMA’s Public Assistance program provides reimbursement to local and state government agencies for the costs of emergency response, debris removal and restoration of disaster damaged public facilities and infrastructure. Houses of worship and other nonprofit organizations may also be eligible for FEMA Public Assistance.

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Important Deadlines to Apply for FEMA Individual Assistance

Published: 15 July 2025
Categories: FEMA News

RSS feed source: Federal Emergency Management Agency

ST. LOUIS – Deadlines to apply for FEMA Individual Assistance are drawing near for Missouri residents affected by the March 14-15 and May 16 disasters.

If your home or personal property sustained damage not covered by insurance, FEMA may be able to provide money to help you pay for home repairs, a temporary place to live and replace essential personal property that was destroyed.

The fastest way to apply for Individual Assistance is at DisasterAssistance.gov. You may also apply by calling FEMA at 1-800-621-3362 or visiting a Disaster Recovery Center. For locations, visit: FEMA.gov/DRC.

Important Deadline – March 14-15 Missouri Disaster

Homeowners and renters affected by the March 14-15 disaster in Bollinger, Butler, Camden, Carter, Franklin, Howell, Iron, Jefferson, Oregon, Ozark, Perry, Phelps, Reynolds, Ripley, St. Louis, Wayne, Webster and Wright counties may be eligible. The deadline to apply for FEMA Individual Assistance is July 22, 2025.

Important Deadline – May 16 Missouri Disaster

Homeowners and renters affected by the May 16 disaster in St. Louis City, St. Louis County and Scott County may also be eligible. The deadline to apply for FEMA Individual Assistance is August 11, 2025.

You can still ask for additional assistance, as long as you submit an initial application before the deadline.

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Podcast: The unnatural nature of metamaterials

Published: 15 July 2025
Categories: National Science Foundation

RSS feed source: Federal Emergency Management Agency

Metamaterials are a special class of engineered materials, designed to have properties not found in nature. Glaucio Paulino, a professor at Princeton University, discusses his work on developing modular chiral origami metamaterials, engineering control approaches and the ways they might benefit society.

Listen to NSF Discovery Files wherever you get your podcasts.

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AI that delivers smarter glucose predictions without compromising privacy

Published: 14 July 2025
Categories: National Science Foundation

RSS feed source: Federal Emergency Management Agency

Managing diabetes is a daily challenge faced by nearly 40 million Americans. It involves tracking food intake, timing medication and engaging in physical activity. Getting it wrong can lead to serious health issues; therefore, developing better prediction tools is a vital part of effective diabetes care.

To support better diabetes management, researchers funded by multiple U.S. National Science Foundation grants are developing innovative tools that help patients predict blood sugar levels more precisely without compromising the privacy of their health data. This cutting-edge approach could transform how people with diabetes monitor and manage their condition in real-time.

At the core of this technology is a method called federated learning, which allows artificial intelligence models to be trained across many patients’ devices without sending any personal data to a central server. This setup is ideal for healthcare, where data privacy is paramount and patients often use battery- and memory-limited smart devices. But early federated learning systems struggled to adapt to individual differences, like how people eat, move or react to insulin.

To address this challenge, the research team grouped patients based on their carbohydrate (e.g., sugar and starch) intake levels. The idea is that people who eat in similar ways tend to show similar glucose patterns. By training the AI on these grouped behaviors, the model became more effective at making personalized blood glucose predictions.

To test

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