Abstract: Ordering fuzzy quantities is a challenging problem in fuzzy sets theory that has attracted the interest of many researchers. Despite the multiple indices introduced for this purpose and due ...

Ohio State is favored to win, but Michigan has won the last four matchups in the rivalry. Michigan has faced tougher average offenses and defenses this season compared to Ohio State. The team that has ...

It’s hard to know yet what to make of this Michigan football squad, transitive properties being what they are in college football. You know, beat a common opponent one week and lose to one the next ...

It would be convenient if Apple added a numbers row to the standard iPhone keyboard, but it hasn't happened yet. If you want an iPhone keyboard with numbers, here's an iPhone texting trick: how to ...

This project resolves a full set of movies from TMDB and IMDB in batches, storing them into a Postgres database using Prisma. This includes difficult-to-access data like IMDB ratings, Rotten Tomatoes ...

As developers rely more and more on open source components to build software, the number of transitive dependencies increases significantly. These “hidden” dependencies can create complex dependency ...

Nama, a Papuan language spoken in southern New Guinea, indexes the person and number of the A argument of a transitive verb with a suffix, and the P argument with a prefix. For a large subset of ...

On March 13, Greg Lang delivered a talk titled “Genome evolution in laboratory populations of yeast” to the Department of Biology. On Thursday, March 13, the Department of Biology hosted Greg Lang, ...

Ohio State is your 2024 college football national champion after defeating the Notre Dame Fighting Irish, 34-23, on Monday night. The Buckeyes' path to their first championship since the inaugural ...

1 Sorbonne University, CNRS, INSERM, Institute of Biology Paris Seine, Neurosciences Paris Seine, Paris, France 2 Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative (CBI), ...

Abstract: Can we automatically discover machine learning (ML) features in a large data lake in order to increase the accuracy of a given ML model? Existing solutions either focus on simple star ...