Breast cancer's resistance to treatment is a major hurdle in improving patient outcomes. 

Deep meditation is often described as a ‘timeless’ state, but this depiction seems to contradict the continuous alertness meditators report. In a recent paper, Dr. Akiko Frischhut from Sophia University, Japan, offers a coherent conceptualization of deep meditation and introduces the ‘Extended Now Interpretation’ to resolve this contradiction. Her analysis could lead to deeper insights into how time is experienced, both in fringe states of consciousness and in everyday life.

Researchers at the University of Copenhagen have demonstrated that the brain's ability to learn certain skills can be significantly enhanced if both the brain and nervous system are primed by carefully-calibrated, precisely-timed electrical and magnetic stimulations. This new research has the potential to open entirely new perspectives in rehabilitation and possibly elite sports.

Aiming at the small-signal synchronization instability of grid-following (GFL) and grid-forming (GFM) converter system, this paper proposes a synchronization perspective frequency-domain modeling and analysis method, able to intuitively reveal mechanism and accurately judge multi-machine stability. Specifically, a node admittance matrix considering GFL, GFM converters and transmission network is established. Then, the frequency domain modal analysis (FMA) method is adopted to evaluate system instability characteristics. On this ground, synchronization forward and feedback paths are partitioned at the oscillation source, so as to formulate a synchronization perspective stability model incorporating dynamics of each converter and transmission network. Finally, the proposed method has been validated using a typical two-machine GFL-GFM system. With such method, the stability judgment failure caused by the feedback path aggregation is addressed, and the interaction mechanism between GFL and GFM synchronization dynamics is revealed as well as their parameter influences.

A new study has revealed that tomatoes harvested at an extremely early stage can still undergo maturation and ripening postharvest, offering a new avenue to enhance agricultural practices.

To efficiently compute where waves of light, sound, or earthquakes will go when scattered by irregular obstacles is useful in various fields but difficult and expensive to do, even using recent machine learning techniques. To improve the scalability and practicality of such computations, Laurynas Valantinas and Tom Vettenburg, researchers at the University of Dundee in the UK, mapped the wave equations onto the structure of a recurrent neural network. Its minimal memory requirements allowed them to scale up wave scattering calculations by two orders of magnitude or more. The “scattering network” design was published Aug. 5 in Intelligent Computing, a Science Partner Journal, in an article titled “Scaling Up Wave Calculations with a Scattering Network.”

A pivotal study has unveiled the genetic mechanisms that control lateral branching in tomatoes, a critical factor for improving crop productivity.

Researchers have uncovered a pivotal genetic mechanism that enables tomatoes to enhance phosphate uptake by partnering with arbuscular mycorrhizal fungi.

A recent study has unlocked the genetic secrets of the wild potato Solanum commersonii, revealing key genes that contribute to its remarkable ability to resist freezing temperatures.