Author: WeWorldMedia-admin

Be Alert to Fraud After a Disaster

Published: 14 July 2025
Categories: FEMA News

RSS feed source: Federal Emergency Management Agency

AUSTIN, Texas – Texas survivors should be aware that con artists and criminals may try to obtain money or steal personal information through fraud after the storms and flooding that began July 2. In some cases, thieves try to apply for FEMA assistance using names, addresses and Social Security numbers they have stolen from survivors.

If a FEMA inspector contacts you or comes to your home and you did not submit a FEMA application, your information may have been used without your knowledge to create a FEMA application. If so, inform the inspector that you did not apply for FEMA assistance. The inspector will request a stop to the processing of your application.

If you did not apply for assistance and receive a letter from FEMA, or if you suspect fraudulent activity involving FEMA, you can report it to the FEMA Fraud Branch at  [email protected]. You may also write to FEMA Fraud and Internal Investigation Division, 400 C Street SW Mail Stop 3005, Washington, DC 20472-3005.

If you applied for FEMA assistance and received a notice that you already applied or that your application is being processed, you can visit a Disaster Recovery Center to receive in-person assistance. A recovery center is open from 8 a.m. to 7 p.m. daily at the First Baptist Church at 625 Washington St. in Kerrville.

You should also report suspicious activity to the

Click this link to continue reading the article on the source website.

Moderate mag. 4.3 earthquake – Papua, Indonesia, on Monday, Jul 14, 2025, at 02:24 pm (Universal Time)

Published: 14 July 2025
Categories: Global Earthquake Activity

RSS feed source: Federal Emergency Management Agency

Support us – Help us upgrade our services! We truly love working to bring you the latest volcano and earthquake data from around the world. Maintaining our website and our free apps does require, however, considerable time and resources.
We need financing to increase hard- and software capacity as well as support our editor team. We’re aiming to achieve uninterrupted service wherever an earthquake or volcano eruption unfolds, and your donations can make it happen! Every donation will be highly appreciated. If you find the information useful and would like to support our team in integrating further features, write great content, and in upgrading our soft- and hardware, please make a donation (PayPal).

Planned features:

Improved multilanguage supportTsunami alertsFaster responsivenessThanks to your past donations, these features have been added recently:Design upgradeDetailed quake statsAdditional seismic data sourcesDownload and Upgrade the Volcanoes & Earthquakes app to get one of the fastest seismic and volcano alerts online:
Android | IOSThank you!

Click this link to continue reading the article on the source website.

Magnitude 3.4 earthquake strikes near Lubin, Lubin County, Lower Silesian Voivodeship, Poland

Published: 14 July 2025
Categories: Global Earthquake Activity

RSS feed source: Federal Emergency Management Agency

Mon, 14 Jul 2025, 14:16 | BY: EARTHQUAKEMONITOR

A magnitude 3.4 earthquake near Lubin, Lubin County, Lower Silesian Voivodeship, Poland, was reported only 4 minutes ago by the European-Mediterranean Seismological Centre (EMSC), considered one of the key international agencies that monitor seismic activity worldwide. The earthquake occurred at a very shallow depth of 5. km beneath the epicenter in the afternoon on Monday, July 14th, 2025, at 4:10 pm local time. The exact magnitude, epicenter, and depth of the quake might be revised within the next few hours or minutes as seismologists review data and refine their calculations, or as other agencies issue their report.
Our monitoring service identified a second report from the German Research Centre for Geosciences (GFZ) which listed the quake at magnitude 3.1.
Based on the preliminary seismic data, the quake should not have caused any significant damage, but was probably felt by many people as light vibration in the area of the epicenter.
Weak shaking might have been felt in Polkowice (pop. 21,600) located 7 km from the epicenter.
Other towns or cities near the epicenter where the quake might have been felt as very weak shaking include Lubin (pop. 77,500) located 15 km from the epicenter, Glogow (pop. 67,300) 16 km away, Legnica (pop. 106,000) 36 km away, Nowa Sol (pop. 40,400) 43 km away, and Leszno (pop. 63,600)

Click this link to continue reading the article on the source website.

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

Click this link to continue reading the article on the source website.