RSS feed source: Federal Emergency Management Agency

OKLAHOMA CITY – Oklahoma residents who have been affected by the March wildfires and straight-line winds have seven days left to apply for FEMA assistance.

Homeowners and renters in Cleveland, Creek, Lincoln, Logan, Oklahoma, Pawnee, and Payne counties who were displaced or have property damage from the March 14-21 wildfires have until Tuesday, July 22, to apply for FEMA assistance. After the deadline, survivors can still upload information and submit paperwork to their FEMA account. 

There are many types of assistance available for survivors who need help covering costs for things like rental expenses, home repairs, vehicle damage, medical expenses, moving and storage, and reimbursement for temporary housing.

There are three ways to apply:

To view an accessible video about how to apply visit: Three Ways to Register for FEMA Disaster Assistance – YouTube

Residents and businesses in the seven eligible counties can also apply for a low-interest disaster loan from the U.S. Small Business Administration (SBA) to help recover from the March wildfires and straight-line winds. For more information about the loans available and how to apply, visit: Oklahoma Survivors Can Apply for SBA Loans.

For the latest information about Oklahoma’s recovery, visit  fema.gov/disaster/4866. Follow FEMA Region 6 on social media at x.com/FEMARegion6 and at facebook.com/FEMARegion6

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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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RSS feed source: Federal Emergency Management Agency

AUSTIN, Texas – A Disaster Recovery Center will open Tuesday, July 15, in Tom Green County to offer face-to-face help to survivors who had damage or losses from the severe storms and flooding in Central Texas.

Homeowners, renters and eligible non-residents may receive FEMA assistance for losses not covered by insurance.Survivors with homeowners’ or renters’ insurance should first file a claim with their insurance company as soon as possible. If your policy does not cover all your damage expenses, you may be eligible for federal assistance.

The Disaster Recovery Center is located at:

Concho Valley Transit Annex

510 N. Chadbourne

San Angelo, TX 76903

Hours: noon to 6 p.m. CT Monday to Friday

FEMA and the U.S. Small Business Administration are supporting the Texas Division of Emergency Management, which is leading efforts to help survivors apply for federal disaster assistance. Center specialists can also identify potential needs and connect survivors with local, state and federal agencies as well as nonprofit organizations and community groups. 

Disaster Recovery Centers are accessible to people with disabilities and those with access and functional needs. They are also equipped with assistive technology. If you need a reasonable accommodation or an American Sign Language interpreter, call 833-285-7448 (press 2 for Spanish).

Survivors may visit any Disaster Recovery Center. No appointment is needed.

Here are the ways to apply for FEMA disaster assistance: 

For the latest information about the Texas recovery, visit fema.gov/disaster/4879. Follow FEMA

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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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