A new study presents a groundbreaking approach to risk identification and management in the cryptocurrency market by harnessing high-frequency data from nine major digital assets. Using advanced models to separate jump, trend, and cyclical risks, the research reveals that different cryptocurrencies display distinct risk behaviours across multiple dimensions and time frames. By integrating techniques like threshold optimal detection and wavelet coherence analysis, the study not only maps market volatility more precisely but also proposes targeted risk prevention and hedging strategies for investors. These findings offer valuable guidance for navigating the fast-changing and often unpredictable world of crypto investing, helping both institutional and retail participants make better-informed, risk-aware decisions. This multidimensional analysis marks a significant step forward in developing practical tools for robust risk management in digital asset markets.

Despite their ubiquity in the world’s oceans, the evolutionary origin of the arrow worm has long baffled biologists – Charles Darwin himself noted their “obscurity of affinities” in 1844. Notably, the worm has characteristics of both protostomes, which include arthropods, mollusks, and annelids, and deuterostomes, which covers all animals with a spinal cord. These two groups are thought to have diverged from a common ancestor in the Ediacaran era, about 600 million years ago.

But now, researchers from University College London (UCL), the Goto Laboratory at Mie University, and the Okinawa Institute of Science and Technology (OIST) have finally pinned down the genomic, epigenomic, and cellular landscape of this enigmatic animal in a study published in Nature. As a planktonic animal, they are almost impossible to culture in the lab – save for one species, Paraspadella gotoi, named in honor of Professor Taichiri Goto, who is the first to successfully breed chaetognaths.

MIT researchers developed a method to design and fabricate reconfigurable antennas with adjustable frequency ranges. Users can adjust the frequency by squeezing, bending, or stretching the material, making the antenna more versatile for sensing and communication than traditional static antennas.