AbstractThe Sadovskii vortex patch is a traveling wave for the two-dimensional incompressible Euler equations consisting of an odd symmetric pair of ...
Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a mold to mass-produce ...
Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a mold to mass-produce ...
A team of researchers affiliated with UNIST has made a significant breakthrough by mathematically proving that a special type of vortex pair, called the Sadovskii vortex patch, can exist within ideal ...
MSD has signed an agreement with Variational AI to use its generative AI (genAI) platform Enki in the discovery of new small-molecule medicines. Vancouver, Canada-based Variational – which emerged in ...
CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...
James Chen, CMT is an expert trader, investment adviser, and global market strategist. Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Charlene Rhinehart is a CPA , CFE, chair of ...
Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.
Paying off debts is one of the most important steps in improving your financial life. How you approach it, though, comes down to your personality. If you're someone who needs a quick win right off the ...
Abstract: An improved variational quantum shadow learning (VQSL) method is presented for the fault diagnosis of transformers. Localized variational quantum circuits for shadow feature extraction and a ...
Abstract: This letter presents a 2D extension of the successive variational mode decomposition (2D-SVMD) method, which decomposes 2D signals into band-limited intrinsic mode functions without ...