Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...

The project implements a Directed Acyclic Graph (DAG) executor in Python that enables the creation and execution of computational pipelines. It handles the dependencies between tasks (represented as ...

Abstract: Operating large multi-reservoir systems is critical for effective water allocation, hydropower generation, and economic development. However, conventional robust planning-based methods scale ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

Abstract: Directed Acyclic Graphs (DAGs) are widely utilized across various domains for tasks such as graph algorithms, data flow analysis, program optimization, and machine learning. Representing ...

Directed graphs are crucial in modeling complex real-world systems, from gene regulatory networks and flow networks to stochastic processes and graph metanetworks. Representing these directed graphs ...

If you’ve been making the same commute for a long time, you’ve probably settled on what seems like the best route. But “best” is a slippery concept. Perhaps one day there’s an accident or road closure ...