Results 31 to 40 of about 168 (164)
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Abstract This study examines the impact of soil erosion on agricultural land values in the United States (US) Midwest. Based on a novel county‐level panel data set with information on soil erosion levels and agricultural land values covering five census years (1997, 2002, 2007, 2012, and 2017), we separately investigate the direct effect of two types ...
Le Chen +3 more
wiley +1 more source
On hyperbolic discounting and uncertain hazard rates [PDF]
The value of a future reward should be discounted where there is a risk that the reward will not be realized.
openaire +2 more sources
ABSTRACT Background Chronic rhinosinusitis with nasal polyps (CRSwNP) is managed after sinus surgery with topical corticosteroids. Given limited distribution of nasal steroid sprays, patients have the option of either steroid nasal irrigation (SNI) or exhalation delivery system with fluticasone (EDS‐FLU).
Daniel Xiao +3 more
wiley +1 more source
Coverage Generosity of Novel Antirheumatic Drugs in Medicare Advantage and Stand‐Alone Part D Plans
Objective We examine coverage of self‐administered disease‐modifying antirheumatic drugs (DMARDs) in Medicare Part D. Methods Using 2022–2026 Part D formulary data, we assessed coverage of the following DMARD classes that treat relapsed rheumatoid arthritis (RA): tumor necrosis factor (TNF) inhibitors, T cell costimulatory modulator, interleukin‐6 (IL ...
Youngmin Kwon +2 more
wiley +1 more source
Abstract This study presents a novel bioeconomy optimization framework, BiOpt, designed to address critical questions regarding the strategic use of limited US biomass resources for biofuel production. By integrating detailed techno‐economic analyses, life cycle assessments, and resource assessment data, BiOpt optimizes resource distributions across ...
Nicholas A. Carlson +3 more
wiley +1 more source
Hyperbolic Discounting and Resource Collapse. [PDF]
This paper shows that the use of hyperbolic discounting in environmental regulation can have unfortunate consequences. In a three-period model we demonstrate that a planner who ‘naively’ employs hyperbolic discounting and fails to anticipate problems of dynamic inconsistency, can oversee a collapse of a renewable resource.
openaire +2 more sources
Introduction In recent years, the treatment of spinal muscular atrophy (SMA), a rare disease, has significantly progressed, improving patients' survival and overall quality of life. However, current SMA treatments are expensive, and some (nusinersen) are very inconvenient for patients.
Andrej Belančić +4 more
wiley +1 more source
Restoring Trust: Rebuilding the Forest Carbon Credit System Through Scientific Rigor
ABSTRACT As pivotal nature‐based climate solutions (NbCS), forests are increasingly recognized for their climate mitigation potential. However, this potential is undermined by fundamental flaws in current carbon credit systems. Our analysis identifies four interconnected systemic challenges: (1) subjective additionality assessments arising from ...
Xiaoqian Chen, Shaokun Li
wiley +1 more source

