A recent paper titled "Search for C-even states decaying to Ds±Ds∓ with masses between 4.08 and 4.32 GeV/c2" by the BESIII Collaboration, including M. Ablikim and over 660 co-authors, presents findings from an experimental search for specific particle states. The research utilized data from

Recent research by Carlo Rizza and colleagues explores the manipulation of electromagnetic waves through time-varying dispersive interfaces. The study, titled "Harnessing the natural resonances of time-varying dispersive interfaces," was submitted to arXiv on September 3, 2024. The authors investigate wave scattering from interfaces characterized by Lorentz-type dispersion, revealing

Recent research by Tomotaro Namba and Yukiyoshi Ohtsuki explores the application of machine learning in predicting control landscape maps for quantum molecular dynamics. The study focuses on the laser-induced three-dimensional alignment of asymmetric top molecules, a technique crucial for observing and manipulating molecular dynamics within a fixed frame of reference.

Recent advancements in optomechanical systems have led to the development of highly accurate pressure sensors, as detailed in a paper titled "Accurate, precise pressure sensing with tethered optomechanics" by Olivia R. Green and colleagues. The research demonstrates that these sensors can achieve an uncertainty as low as 1.

In a recent paper titled "Deduction of the Bromilow's time-cost model from the fractal nature of activity networks," author Alexei Vazquez presents a mathematical derivation of the Bromilow's time-cost model, which has been observed to relate the time required to execute construction projects to

Recent advancements in imaging technology have led to the development of a novel compressed sensing algorithm aimed at characterizing point-source transient events (PSTEs). This work, conducted by Frank Qiu and colleagues, addresses the challenges posed by PSTEs, which are optical events that occur rapidly and are often very small in