A team of astronomers from the Einstein Probe (EP) collaboration has uncovered a previously hidden stage in the aftermath of one of the Universe’s most violent events—the merger of two compact stars. Designated EP250704a/GRB 250704B, the fleeting cosmic explosion was jointly captured by the China-led EP mission, the SVOM, and the Insight-HXMT, enabling astronomers to follow this transient simultaneously in gamma rays and soft X-rays from the very onset of the emission. Led by the EP fast extragalactic transients working group, a study published in Science Bulletin reports that, although the short gamma-ray burst (GRB) produced by the compact star merger lasted only about half a second, the source continued shining in soft X-rays for nearly ten minutes after the gamma-ray flash had faded. The discovery reveals that the merger remnant releases substantial energy well beyond the initial short GRB traditionally used to identify these events, allowing compact star mergers—the same cosmic collisions that also produce gravitational waves—to appear as minute-long fast X-ray transients. These X-ray transients therefore provide an electromagnetic counterpart to gravitational-wave events, offering a new probe for multi-messenger astronomy.

Chinese researchers have developed a Prussian blue (PB)-based strategy to regulate both crystallization and ion migration processes in perovskite solar cells, achieving high power conversion efficiencies from small-area cells to 30 cm × 30 cm submodules.

Finding a few tumor cells hidden among billions of blood cells is one of the biggest challenges in liquid biopsy. Circulating tumor cells (CTCs), which break away from primary tumors and enter the bloodstream, can provide important clues about cancer progression and treatment response. However, their extremely low abundance—often only one to ten cells among a billion blood cells—makes them difficult to isolate and accurately identify.

In a new study published in Biomedical Analysis, researchers from Taiyuan University of Technology and Shanxi Bethune Hospital developed a new strategy that combines a microfluidic chip with artificial intelligence to address this challenge. The platform first separates tumor cells from surrounding blood cells according to their physical differences, then uses deep learning to identify the enriched cells from ordinary microscope images. This approach provides a new route toward simpler, less label-dependent CTC analysis.

Despite cancer rates similar to Western Europe, patients in the Balkans are far more likely to die from the disease. Experts point to delayed detection, weak primary care, and limited access to advanced diagnostics as the principal culprits.

Across the Balkan Peninsula, health systems face a stark contradiction: while the incidence of solid tumours broadly mirrors that of Western Europe, mortality remains stubbornly elevated. Lung, colorectal, and prostate cancers are the leading killers among men, while breast, lung, colorectal, and cervical cancers take the heaviest toll on women.

New treatments – including experimental cancer vaccines from Moderna show promise in late-stage trials, but their cost puts them out of reach for most patients in the region. According to Dr Marchela Koleva, founder and Head of the Department of Medical Oncology at St. Sophia Hospital the core problem is not a lack of therapies but a chronic failure to diagnose early enough.

Satellites that navigate by talking to each other slowly lose their sense of direction, because nothing in a purely Earth-orbiting network provides a fixed reference in space.

With the continuous advancement of spaceborne synthetic aperture radar (SAR) technology, L-band SAR has come to play an increasingly important role in Earth observation; however, its imaging, interferometric, and polarimetric performance are susceptible to ionospheric disturbances. In equatorial nighttime data, amplitude streak artifacts induced by equatorial plasma bubbles frequently occur and have traditionally been regarded as interference factors in SAR imaging. Nevertheless, these artifacts essentially carry critical information on ionospheric irregularities and can be exploited to retrieve physical parameters such as scintillation intensity and turbulence spectral indices. Existing methods either rely on comparisons between disturbed and undisturbed images or are limited to preliminary one-dimensional parameter estimation along the track, making it difficult to achieve two-dimensional fine-scale retrieval of scintillation structures, and lacking systematic validation of their spatial correlation with equatorial ionospheric anomalies. Therefore, how to extract the two-dimensional spatial distribution of ionospheric scintillation parameters from amplitude streak artifacts and reveal their intrinsic relationship with regions of enhanced electron density has become an important scientific question in the field of ionospheric remote sensing.