A multi-objective multi-period mathematical programming model for integrated project portfolio optimization and contractor selection. [PDF]
Zahedirad M +3 more
europepmc +1 more source
Heuristically Adaptive Diffusion‐Model Evolutionary Strategy
Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl +3 more
wiley +1 more source
Research on a fuzzy programming model and algorithm for berth allocation considering time-varying water depth. [PDF]
Liu D, Li B, Li M, Lei Y, Yu P, Tan C.
europepmc +1 more source
MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang +5 more
wiley +1 more source
A selection index with minimal genetic relatedness for multi-trait data via binary quadratic programming. [PDF]
Montesinos-López OA +3 more
europepmc +1 more source
A large‐scale multiomic dataset (proteomic and metabolomic) comprising 3,060 plasma samples were analyzed to identify proteins, metabolites, pathways, and protein‐associated drugs linked to Alzheimer’s Disease (AD) independently of apolipoprotein E (APOE). AD was associated with a distinct molecular signature that captures.
Fuhai Li +22 more
wiley +1 more source
A Monte Carlo-Based Framework for Two-Stage Stochastic Programming: Application to Bond Portfolio Optimization. [PDF]
Albaqami H, Mrad M, Gharbi A, Subasi MM.
europepmc +1 more source
Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu +4 more
wiley +1 more source
Joint optimization of system utility in UAV-enabled edge computing. [PDF]
Zuo H, Zhang E, Tang Y, Yin M, Dong W.
europepmc +1 more source

