Knowledge-driven teaching-learning-based optimization algorithm for bi-objective flexible job-shop scheduling problem with tool allocation. [PDF]
Chen K, Yuan X, Tan W.
europepmc +1 more source
[18F]Fluorodeprenyl‐D2 PET as a Tool to Monitor Disease Activity in GAD65‐Ab Autoimmune Encephalitis
ABSTRACT Objective To evaluate [18F]fluorodeprenyl‐D2 ([18F]F‐DED) positron‐emission tomography (PET) imaging as a biomarker of disease activity in autoimmune encephalitis (AIE) associated with glutamic acid decarboxylase 65 (GAD65) antibodies. Methods [18F]F‐DED PET was performed in 25 GAD65‐AIE patients and 8 controls using dynamic (0–60 min) and ...
Julia S. Dorneich +19 more
wiley +1 more source
Optimizing energy, downtime, and throughput in footwear production through machine learning. [PDF]
Sudhakar PK, Muthucumaraswamy R.
europepmc +1 more source
Dynamic-opposite learning enhanced meta-heuristic approach for solving multiple industrial optimization problems. [PDF]
Wu H, Li L, Wang G, Yang Z, Shi B.
europepmc +1 more source
Comprehensive retail network dataset for bangladesh: Shop-level sales and location data. [PDF]
Shahin MMH, Swarna JF, Farid DM.
europepmc +1 more source
Targeting nontuberculous mycobacteria with phages: optimization of in vitro host range assays. [PDF]
Weirauch T +5 more
europepmc +1 more source
The association of household conditions with the development of active pulmonary TB among in households with a previous TB patient: a community-based case-control study. [PDF]
Prima RR +3 more
europepmc +1 more source
A novel belief-degree-based uncertain Tchebycheff norm DEA model for the case study of risks prioritizing in e-business projects. [PDF]
Shahbazi M +4 more
europepmc +1 more source
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The no-wait flow shop with rejection
International Journal of Production Research, 2020We consider the no-wait flow shop scheduling problem with rejection. We first show how to augment the travelling salesman problem formulation for the no-wait flow shop minimum makespan problem to i...
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