Ultra-Broadband Microwave Absorption and Programmable Multispectral Camouflage Enabled by Neural-Network-Driven Impedance-Gradient Metadevices. [PDF]
Li C, Liang L, Zhang B, Yang Y, Ji G.
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Efficacy of Inebilizumab in N‐MOmentum Trial Participants With or Without Prior Immunosuppressants
ABSTRACT This post hoc analysis examined the impact of prior immunosuppressants on the long‐term efficacy and safety of inebilizumab, a cluster of differentiation 19+ B‐cell–depleting monoclonal antibody, in participants with aquaporin‐4–seropositive neuromyelitis optica spectrum disorder from the N‐MOmentum trial (NTC02200770).
Bruce A. C. Cree +9 more
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Optimizing Essential Oil Blends by Mixture Design Approaches for Enhanced Antimicrobial and Antioxidant Activity: A Review. [PDF]
Akacha BB +9 more
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Quantifying biological heterogeneity in nano-engineered particle-cell interaction experiments. [PDF]
Murphy RJ +3 more
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Machine Learning Models for Predicting Key Performance Characteristics of High-Temperature THz Quantum Cascade Lasers. [PDF]
Stojković M +8 more
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Design of a Li-ion battery cooling system incorporating PCM, heat pipes, and liquid circuits using marine predator algorithm-enhanced ANN and multi-verse optimization. [PDF]
Ali NB +7 more
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Experimental Designs for Preclinical Neuroscience Experiments: Part 2-Blocking and Blocked Designs. [PDF]
Reynolds PS.
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Sampling Design and Sample Processing Affect Soil Biodiversity Assessments. [PDF]
Chen M +5 more
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Statistical Inference for Approximate Bayesian Optimal Design
2020 Winter Simulation Conference (WSC), 2020This paper studies a generic Bayesian optimal design formulation with chance constraints, where the decision variable lies in a separable, reflexive Banach space. This setting covers a gamut of simulation and modeling problems that we illustrate through two example problem formulations.
Prateek Jaiswal, Harsha Honnappa
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