Results 191 to 200 of about 2,233,236 (246)

Safety and Efficacy of GLP‐1 Receptor Agonists in Adults With Epilepsy, Obesity, and Type 2 Diabetes

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Managing obesity in patients with epilepsy is complicated by the weight‐gaining properties of essential antiseizure medications (ASMs) such as valproate and pregabalin. We evaluated the safety and efficacy of initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) in this population.
Hyoshin Son   +3 more
wiley   +1 more source
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Robust risk‐sensitive control

International Journal of Robust and Nonlinear Control, 2023
SummaryWe introduce arisk‐sensitivegeneralization of the mixed control problem for linear stochastic systems with additive noise. Two criteria ofexponential‐quadraticform are used to generalise the usual quadratic criteria. The solutions are found in a linear state‐feedback form for both the finite and the infinite horizon formulations in terms of ...
Haochen Hua, Bujar Gashi, Moyu Zhang
openaire   +2 more sources

Neural Predictors’ Sensitivity and Robustness

2021
The results of the application of deep neural predictors depend on a multitude of factors which compose the experimental settings. We report all the specific information to ensure the reproducibility of a wide number of numerical experiments. A sensitivity analysis on some critical aspects is provided in order to prove the robustness of our setting ...
M. Sangiorgio, F. Dercole, G. Guariso
openaire   +2 more sources

Robust SVM for Cost-Sensitive Learning

Neural Processing Letters, 2021
Although the performance of cost-sensitive support vector machine (CS-SVM) has been demonstrated to approximate to the cost-sensitive Bayes risk, previous CS-SVM methods still suffer from the influence of outlier samples and redundant features. Recently, a few studies have focused on separately solving these two issues by the sparse theory.
Jiangzhang Gan   +2 more
openaire   +2 more sources

Robust properties of risk-sensitive control

Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171), 2000
The purpose of this paper is to characterize and prove robustness properties of risk-sensitive controllers precisely. The authors mainly presented the following two results: (1) explicit bounds of the average output power in terms of the input power, (2) a stochastic version of the small gain theorem, which is expressed in terms of the risk-sensitive ...
Paul Dupuis   +2 more
openaire   +3 more sources

SEU sensitivity of robust communication protocols

2012 IEEE 18th International On-Line Testing Symposium (IOLTS), 2012
Robust communications protocols are widely used in safety critical applications, such as aerospace or automotive systems. On-board complex systems, working in harsh environments, are composed of distributed modules with a high degree of interaction and critical tasks replication.
Celia López-Ongil   +9 more
openaire   +1 more source

Sensitivity and robustness of mechanism balancing

Mechanism and Machine Theory, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Sensitivity and Robustness in Chemical Reaction Networks

SIAM Journal on Applied Mathematics, 2009
For a wide class of chemical reaction networks, including all those governed by detailed balanced mass-action kinetics, we examine the robustness of equilibrium species concentrations against fluctuations in the overall reactant supply. In particular, we present lower bounds on the individual species-concentration sensitivities that derive from ...
Guy Shinar   +2 more
openaire   +2 more sources

Sensitivity and robustness in selection problems

Computers & Operations Research, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Sensitivity and robustness of eigendecomposition-based detectors

IEEE International Conference on Acoustics Speech and Signal Processing, 1993
A new framework is presented for the analysis of the performance of detection methods, such as the Akaike's information criteria (AIC) and the minimum description length principle (MDL) which are based on the eigenvalues of the covariance matrix. It is shown that theoretical analysis of the probabilities of overestimation and underestimation can be ...
W. Xu, Mostafa Kaveh
openaire   +2 more sources

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