The immune systems of multicellular animals have evolved under pressure to cope with both with pathogens and with harmless or potentially beneficial micro-organisms. The major surfaces which are ...

All too often candy and medicine — both prescription and over-the-counter— can look, smell, and even taste alike, the California Poison Control System reports. This can be too great a temptation for ...

This work will be of significant interest to the microbiome research community. Bacteria inhabiting the mammalian gut coexist in dense communities where contact-dependent antagonism mechanisms are ...

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Abstract: With the advancement of embodied intelligence technology, continuous-time reinforcement learning (CTRL) in dynamical systems has shown promising potential in various robotic applications and ...

TORONTO, Jan. 15, 2026 /PRNewswire/ - PowerBank Corporation (NASDAQ: SUUN) (Cboe CA: SUNN) (FSE: 103) ("PowerBank" or the "Company"), a leader in North American energy infrastructure development and ...

Stablecoins that offer interest-bearing rewards may increasingly resemble bank deposits. But unlike traditional deposits, they lack the regulatory safeguards that undergird the banking system. That ...

Stablecoin issuers and distributors offering customers access to stablecoin yield may essentially be creating their own parallel ecosystem to bank operations, global bank JPMorgan's chief financial ...

Jeremy Barnum told JPMorgan shareholders that yield-bearing stablecoins risk creating a parallel banking system without the safeguards of traditional regulation. Stablecoins emerged as a topic during ...

January 8, 2026 (NYALA) – The civil administration of the Rapid Support Forces (RSF), in cooperation with the Tasis coalition, has begun taking practical steps to establish a central bank and a ...

Philip Gelderblom has been writing professionally since the '90s. He has written mainly content on a freelance basis, including about cars, future cars, EVs, hybrids and hydrogen cars, self-driving ...

Abstract: Characterizing and understanding graph neural networks (GNNs) is essential for identifying performance bottlenecks and facilitating their deployment in parallel and distributed systems.