Results 71 to 80 of about 13,755 (295)
Insect‐scale crawling robots can traverse confined environments; nevertheless, their functionalities are predominantly restricted to sensing because of challenges in integrating actuated degrees of freedom. Herein, a miniature rotary electrostatic clutch is presented by incorporating cutting patterns in the clutch layer.
Jongeun Lee +4 more
wiley +1 more source
Abstract Premise Pollinator‐mediated plant‐plant interactions may be negative (i.e., competition, reproductive interference) or positive (i.e., facilitation). Especially when co‐flowering with close relatives (e.g., congeners), negative interactions through reproductive interference may be strong and result in floral trait divergence and increased ...
Agnes S. Dellinger +4 more
wiley +1 more source
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
Therapeutic drug monitoring education: The current state
Aims To evaluate available information on therapeutic drug monitoring (TDM) education programmes and their implementation across different countries. Methods The study was performed in two phases. First, a scoping review of scientific literature on available education programmes was performed.
Guenka Petrova +10 more
wiley +1 more source
In this paper, we investigate the application of signal‐to‐leakage‐plus‐noise ratio (SLNR) beamforming to low Earth orbit non‐terrestrial networks. The SLNR criterion aims at maximizing the received desired signal power for each user while minimizing the overall interference power caused by each user to all other co‐channel receivers. We show that such
M. Rabih Dakkak +3 more
wiley +1 more source
A Novel Conjugate Gradient Algorithm as a Convex Combination of Classical Conjugate Gradient Methods
Conjugate gradient (CG) algorithms are constructive for handling large-scale nonlinear optimization problems. One optimization technique intended to address unconstrained optimization issues effectively is the hybrid conjugate gradient (HCG) algorithm ...
Sara Sahib Mohammed Zaki +2 more
doaj +1 more source
Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis. [PDF]
Jaffar F +4 more
europepmc +1 more source
Parallel Gradient Distribution in Unconstrained Optimization [PDF]
Summary: A parallel version is proposed for a fundamental theorem of serial unconstrained optimization. The parallel theorem allows each of \(k\) parallel processors to use simultaneously a different algorithm, such as a descent, Newton, quasi-Newton, or conjugate gradient algorithm. Each processor can perform one or many steps of a serial algorithm on
openaire +2 more sources
Pharmacokinetic profiles of sertraline in pregnancy as a predictor of postpartum depressive symptoms
Aim To characterize pharmacokinetic changes of sertraline and its metabolite during pregnancy and postpartum, and their relationship to maternal postpartum depressive symptoms. Methods This was a prospective observational, longitudinal study of pregnant women with a major depressive disorder treated with sertraline (N = 185 women, 205 pregnancies ...
Sílvia M. Illamola +8 more
wiley +1 more source
The global convergence of spectral RMIL conjugate gradient method for unconstrained optimization with applications to robotic model and image recovery. [PDF]
Salihu N +4 more
europepmc +1 more source

