Results 51 to 60 of about 56,420 (266)
In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey +4 more
wiley +1 more source
Bayesian optimization algorithms for accelerator physics
Accelerator physics relies on numerical algorithms to solve optimization problems in online accelerator control and tasks such as experimental design and model calibration in simulations.
Ryan Roussel +26 more
doaj +1 more source
Bayesian Optimization Of NeuroStimulation (BOONStim). [PDF]
Abstract Background Transcranial magnetic stimulation (TMS) treatment response is influenced by individual variability in brain structure and function. Sophisticated, user-friendly approaches, incorporating both established functional magnetic resonance imaging (fMRI) and TMS simulation tools, to ...
Oliver LD +10 more
europepmc +5 more sources
Preferential Bayesian Optimization
Bayesian optimization (BO) has emerged during the last few years as an effective approach to optimizing black-box functions where direct queries of the objective are expensive. In this paper we consider the case where direct access to the function is not possible, but information about user preferences is.
Javier González 0002 +3 more
openaire +3 more sources
Bayesian inference with optimal maps [PDF]
66 pages, 26 figures. Minor revisions and improvements throughout.
Tarek A. El-Moselhy, Youssef M. Marzouk
openaire +4 more sources
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
wiley +1 more source
The impact of Bayesian optimization on feature selection
Feature selection is an indispensable step for the analysis of high-dimensional molecular data. Despite its importance, consensus is lacking on how to choose the most appropriate feature selection methods, especially when the performance of the feature ...
Kaixin Yang, Long Liu, Yalu Wen
doaj +1 more source
HAD-BO: A history-aware dynamic Bayesian optimization strategy and its applications in laser-driven plasma high-harmonic generation [PDF]
An enhanced Bayesian optimization method, named History-Aware Dynamic Bayesian Optimization (HAD-BO), is proposed and applied to optimize the ellipticity in laser-driven plasma surface high-harmonic generation (SHHG).
Ziwei Wang +4 more
doaj +1 more source
MOBOpt — multi-objective Bayesian optimization
This work presents a new software, programmed as a Python class, that implements a multi-objective Bayesian optimization algorithm. The proposed method is able to calculate the Pareto front approximation of optimization problems with fewer objective ...
Paulo Paneque Galuzio +3 more
doaj +1 more source
The 3D body scan technology has recently innovated the way of measuring human bodies and generated a large volume of body measurements. However, one inherent issue that plagues the use of the resultant database is the missing data usually caused by using
Xuebo Liu, Yingying Wu, Hongyu Wu
doaj +1 more source

