In recent years, the integration of computational and machine learning techniques has dramatically advanced our understanding of protein function and engineering. As proteins underpin virtually every ...

In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...

The Linear MCP currently returns all issues including completed ones when using list_issues or list_my_issues, which can bloat context unnecessarily when working with AI assistants. When calling the ...

Don't be Dense, SLiCE the Cost! Structured Linear Controlled Differential Equations (SLiCEs) are a new class of sequence models that combine the maximal expressivity (i.e., universality) of dense, ...

ABSTRACT: The VMamba (Visual State Space Model) is built upon the Mamba model by stacking Visual State Space (VSS) modules and utilizing the 2D Selective Scan (SS2D) module to extend the original ...

The trade-off between the security and efficiency of a lightweight crypto design is interlinked with the fine harnessing of entropy sources. Merging this source with a finite random sequence is an ...

This paper proposes an analytic representation of sequence-space Jacobians in heterogeneous agent models with aggregate shocks in continuous time. Our approach is based on a pen-and-paper perturbation ...

Excel's SEQUENCE function lets you create a list of numbers in a sequence in an instant. It also allows you to define the ...

Jeremy has more than 2100 published articles on Collider to his name, and has been writing for the site since February 2022. He's an omnivore when it comes to his movie-watching diet, so will gladly ...

As one gains seniority, there is a presumption—dubious, perhaps—that one also gains wisdom. Thus, I find myself asked, not infrequently, to share some wisdom with junior researchers who seek insight ...