Connecting Research and Experts with Journalists

• share
• favorite_border

Physicists at the University at Albany hail the latest progress in the hunt for direct evidence of dark matter — believed to be a massive-but-so-far-invisible building block to the universe.

• share
• favorite_border

The American Society for Radiation Oncology (ASTRO) announced today the seven studies to be highlighted in the 2024 ASTRO Annual Meeting press program. Researchers will discuss their findings in news briefings held September 30 and October 1 at the Walter E. Washington Convention Center in Washington, D.C. and via live webcast.

• share
• favorite_border

Candle flames, cars, and airplanes emit harmful gases and particles, which are formed through highly complex processes involving extremely fast reactions and often transient flow conditions. To better understand these processes, scientists from the USA and Europe developed the fastest 2D planar imaging system.

• share
• favorite_border

Since the early 2000s, optical frequency combs have had a major impact on science and technology. Miniaturization onto photonic chips is important for their deployment outside laboratory settings. Towards this goal, Song et al., demonstrated octave-spanning soliton frequency combs on the thin-film lithium niobate photonic platform.

• share
• favorite_border

Astronomers using NASA’s James Webb Space Telescope were surprised to find a distant, red galaxy distorted into the shape of a question mark. A specific, rarely-seen type of natural gravitational lens is causing the galaxy to appear multiple times.

• share
• favorite_border

A SLIPT system using a MIMO-based configuration significantly enhances data transmission and energy harvesting. This approach combines space- and time-splitting, enabling high data rates and efficient power transfer. The system operates in either single PD or quadrant PD mode, adapting to various conditions and requirements.

• share
• favorite_border

A team including faculty at Binghamton University, State University of New York has created a machine-learning algorithm that can detect up to 94% of bogus academic papers — nearly twice as successfully as more common data-mining techniques.

• share
• favorite_border

POSTECH team develops deep-learning powered label-free photoacoustic histology for virtual staining, segmentation, and classification of human liver cancers.