AI is already helping the biopharmaceutical industry to optimize its manufacturing activities, according to IFPMA.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The accurate treatment of many-unpaired-electron systems remains a central challenge ...

Abstract: Multi-objective dynamic flexible job shop scheduling (MO-DFJSS) is increasingly recognized as a critical challenge in manufacturing and production systems due to the dynamic and complex ...

block-insertion-theorem is a reproducible reference implementation of a combinatorial result about block insertion and counting linear extensions of posets. The repository provides a formal JSON ...

Algorithms, examples and tests for denoising, deblurring, zooming, dequantization and compressive imaging with total variation (TV) and second-order total generalized variation (TGV) regularization.

There's a familiar TV discourse taking shape online right now, the kind that I suspect will look awfully familiar to you if you remember the way Game of Thrones crashed and burned in its eighth and ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

ABSTRACT: The absence of the atp8 gene in the mitochondrial genomes of Platyhelminthes and certain other mollusks has garnered significant attention in recent years. Growing evidence suggests that ...

Revenue cycle management software vendors are increasingly turning to artificial intelligence to give health systems of all sizes – from regional systems such as West Tennessee Healthcare to ...

Abstract: In this paper, a dynamic scheduling algorithm based on multi-objective optimization is designed and illustrated with the example of shared bicycle scheduling optimization. Firstly, this ...