IEEE

Ensemble Artificial Bee Colony Algorithm and Q-Learning for Multi-Objective Distributed Heterogeneous Flowshop Scheduling Problems with Sequence-Dependent Setup Time

Abstract: As the global economy develops and people's awareness of environmental protection increases, the efficient scheduling of production lines in workshops has received more and more attention.
IEEE

MORA-LLM: Enhancing Multi-Objective Optimization Recommendation Algorithm by Integrating Large Language Models

Abstract: Multi-objective evolutionary algorithms (MOEAs) have achieved notable success in recommendation systems (RSs) by meeting diverse user needs. However, existing MOEAs lack effective methods to ...
lupusnewstoday

Galápagos’ oral therapy for lupus fails to meet key trial objective

A Phase 2 clinical trial testing Galápagos‘ experimental oral therapy GLPG3667 in people with systemic lupus erythematosus (SLE) has failed to meet its main goal, although some promising trends were ...
Frontiers

Multi-omics profiling unravel the immune landscape diversity by prognostic signatures of immunotherapy response in triple-negative breast cancer

Department of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China Background: Triple-negative breast cancer (TNBC) remains a challenging malignancy with limited ...
eLife

Multi-gradient permutation survival analysis identifies mitosis and immune signatures steadily associated with cancer patient prognosis

This paper contains valuable ideas for methodology concerned with the identification of genes associated with disease prognosis in a broad range of cancers. However, there are concerns that the ...