Results 201 to 210 of about 1,667,567 (299)
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck +4 more
wiley +1 more source
Current‐Limiting Control Strategies in Variable Capacitance Electrostatic Energy Harvesters
This work introduces control strategies for electrostatic energy harvesters that balance energy yield with current limitations. Two approaches are explored: traditional peak‐triggered controls, and newly developed quadrature controls, which use smooth voltage profiles.
Alireza Jalaliankhakshour +4 more
wiley +1 more source
Recent changes in discretionary denials of drug patent challenges. [PDF]
Tu SS, Rai A, Kesselheim AS.
europepmc +1 more source
A modular eight‐legged robot exploits anisotropically oriented soft I‐beam backbones to transmit vibration from a single unbalanced‐mass actuator, producing frequency‐dependent multimodal gaits. A pseudo‐rigid‐body model enables high‐fidelity MuJoCo simulation, while Bayesian parameter identification and reinforcement learning yield robust control ...
Yiğit Yaman +4 more
wiley +1 more source
Exponentially increasing competition is exposing flaws in the current system of selection for specialty training. [PDF]
Aveyard B, Asbridge S.
europepmc +1 more source
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source
From pipeline to network: We need to redefine scientific success. [PDF]
Weber AA.
europepmc +1 more source

