Abstract: This paper proposes an adaptive dynamic programming (ADP) algorithm based on a dynamic event-triggered mechanism (ETM) for the optimal control problem of a class of continuous-time nonlinear ...

Abstract: In this article, an optimal position control framework based on online adaptive dynamic programming is proposed for magnetically actuated capsules (MACs). First, sensorless magnetic force ...

Researchers from Seoul National University Hospital have designed a machine learning model that predicts an individual's likely response to an anticonvulsant drug, aiming to reduce trials and errors ...

Explore the latest insights on second-line therapies for follicular lymphoma, including the benefits and challenges of R2 treatment. The RELEVANCE study was pivotal in demonstrating that a ...

ABSTRACT: Supply chain partners often face a fundamental trade-off: dishonesty can provide immediate rewards, but excessive lying erodes credibility and undermines future opportunities. Prior research ...

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Traditionally paper diaries are used to collect safety data in clinical trials, however electronic form of these paper diaries represent a paramount resource that could improve data quality, reduce ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

SAN FRANCISCO (KGO) -- Amid the ongoing cost-of-living crisis, one Bay Area state senator says she's trying to make some prices more affordable. Senator Aisha Wahab has introduced a bill that would ...

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