Germany's Munich airport has resumed operations after drone sightings led to the cancellation of 17 flights, the diversion of 15 others and the stranding of some 3,000 passengers. Flights had restarted by early Friday, with flight tracking websites showing planes departing the airport at about 5:50am (03:50 GMT). At least 19 Lufthansa flights were affected, either cancelled or re-routed, because of the airport suspension, the spokesperson added. Earlier, the airport said that drone sightings were first reported by German air traffic control at 10:18pm local time [20:18 GMT] on Thursday, leading initially to a restriction on flights, which was then upgraded to a full suspension. Germany's DPA news agency said police reported that several people had seen a drone near the airport, with later sightings of a drone over the airport grounds.

Things to Do in L.A. Tap to enable a layout that focuses on the article. Jillian Lauren, a best-selling author who is married to the bassist from the rock band Weezer, appears in court at the Clara Shortridge Foltz Criminal Justice Center in Los Angeles on May 13, 2025. This is read by an automated voice. Please report any issues or inconsistencies here . Jillian Lauren was arrested after authorities said she brandished a gun and fired toward police officers.

Cross-domain few-shot learning (CD-FSL) requires models to generalize from limited labeled samples under significant distribution shifts. While recent methods enhance adaptability through lightweight task-specific modules, they operate solely in the spatial domain and overlook frequency-specific variations that are often critical for robust transfer. We observe that spatially similar images across domains can differ substantially in their spectral representations, with low and high frequencies capturing complementary semantic information at coarse and fine levels. This indicates that uniform spatial adaptation may overlook these spectral distinctions, thus constraining generalization. To address this, we introduce Frequency Adaptation and Diversion (FAD), a frequency-aware framework that explicitly models and modulates spectral components. At its core is the Frequency Diversion Adapter, which transforms intermediate features into the frequency domain using the discrete Fourier transform (DFT), partitions them into low, mid, and high-frequency bands via radial masks, and reconstructs each band using inverse DFT (IDFT). Each frequency band is then adapted using a dedicated convolutional branch with a kernel size tailored to its spectral scale, enabling targeted and disentangled adaptation across frequencies. Extensive experiments on the Meta-Dataset benchmark demonstrate that FAD consistently outperforms state-of-the-art methods on both seen and unseen domains, validating the utility of frequency-domain representations and band-wise adaptation for improving generalization in CD-FSL.

A new Department of Defense Inspector General report released Thursday finds more than 1 billion worth of weapons sent to Ukraine were not properly tracked by U.S. defense officials. The DOD IG has personnel stationed in Ukraine and is investigating with its Defense Criminal Investigative Service allegations of diversion of weapons. For now, the IG says, "It was beyond the scope of our evaluation to determine whether there has been diversion of such assistance." The weapons in question are small and include shoulder-fired missiles, one-way attack drones and night-vision devices. "From a monetary perspective, the delinquent serial numbers account for more than 1.005 billion of the total 1.699 billion (59 percent of the total value) of EEUM‑designated defense articles as of June 2, 2023," the report says.

Awareness of artificial intelligence (AI) is increasing throughout health care. Relative to pharmacy, the American Society of Health-Systems Pharmacists Foundation's "Pharmacy Forecast 2020: Strategic Planning Advice for Pharmacy Departments in Hospitals and Health Systems" specifically lists the emergence of AI in its report, inspiring industry discussion and guiding the strategic planning processes of health system pharmacy leadership across the country.1 For pharmacy, AI provides information on drug interactions, drug therapy monitoring, formulary selection, costs, usage trends, and more. "AI is already transforming health care but will become increasingly valuable as investments in systems that can capture and manage data are made and clinical informatics entities work more collaboratively to address current data shortfalls," said Doug Zurawski, PharmD, senior vice president of clinical strategy at Kit Check, Inc, maker of radio frequency identification (RFID)/AI technology for hospital pharmacies to help with medication management. "It is incumbent upon us, in this industry and in this field, to take the lead and learn more, invest in systems that support AI and machine learning, and prepare for the future with access to artificial intelligence."

The video game Fall Guys: Ultimate Knockout started out as an easy-to-play online multiplayer game for everyone – kids, parents and players of all ages. But now six months into the coronavirus pandemic, the cute, colorful addition to the battle royale genre – think Fortnite – has provided a salve to social isolation and an escape from the constant barrage of bad news. More than 2 million players have bought the game for PCs on Steam video game marketplace since its release Tuesday. The buzz is hot with this one. While it's not an apples and oranges comparison, consider that Taylor Swift sold and streamed the equivalent to 846,000 copies of her new album "Folklore" in the first week, according to Nielsen Music. Fall Guys has been out less than a week.

Working in information technology is only great up until you decide to stop. While actively working in the business, you're constantly exposed to the latest and greatest tools of the trade. Leave that domain, and suddenly you're completely lost as to what's hot and what's not. Maybe it's not even called information technology anymore (it isn't), but if you worked in that capacity back when the term was relevant, you'll know how to use structured query language (SQL). It's how we can ask relational databases questions.

This study investigates the potential effects of different Dynamic Message Signs (DMSs) on driver behavior using a full-scale high-fidelity driving simulator. Different DMSs are categorized by their content, structure, and type of messages. A random forest algorithm is used for three separate behavioral analyses; a route diversion analysis, a route choice analysis and a compliance analysis; to identify the potential and relative influences of different DMSs on these aspects of driver behavior. A total of 390 simulation runs are conducted using a sample of 65 participants from diverse socioeconomic backgrounds. Results obtained suggest that DMSs displaying lane closure and delay information with advisory messages are most influential with regards to diversion while color-coded DMSs and DMSs with avoid route advice are the top contributors impacting route choice decisions and DMS compliance. In this first-of-a-kind study, based on the responses to the pre and post simulation surveys as well as results obtained from the analysis of driving-simulation-session data, the authors found that color-blind-friendly, color-coded DMSs are more effective than alphanumeric DMSs - especially in scenarios that demand high compliance from drivers. The increased effectiveness may be attributed to reduced comprehension time and ease with which such DMSs are understood by a greater percentage of road users.

The core business of healthcare organizations is to care for the medical needs of patients. Yet information security is a key component of any healthcare organization. There are electronic healthcare records (EHRs) and HIPAA privacy regulations, both of which make your average hospital or big healthcare practice an enticing target for hackers looking to steal data. "We are attacked about a million times a day," said Jennings Aske, chief information security officer at NewYork-Presbyterian Hospital. Aske joined the organization in 2015 to create a cyber security strategy for the organization, and he used platforms from Splunk which he said was "basically a security analytics platform."

For 20 years, Russ Nix worked in the public safety and law enforcement arenas; while working as an undercover narcotics officer, he saw the impact of the growing opioid crisis and addictions to other medications. Now, Nix works as a drug diversion specialist at Piedmont Athens (Ga.) Regional Medical Center, a job he pitched to the 360-bed hospital and got. Drug diversion is the taking of medications outside of the hospital or pharmacy and it is primarily done by inside personnel, such as a nurse or physician and possibly a pharmacist. In general, however, pharmacy departments are put in charge of drug diversion programs given they usually have the most access, Nix explains. Piedmont Athens became a pilot site with Invistics, a vendor of advanced healthcare inventory visibility and analytics software that uses machine learning technology and analytics to detect opioid and drug theft across the hospital--the program was funded via a grant to Invistics in 2017 from the National Institutes of Health.