Results 121 to 130 of about 401,417 (282)
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
Numerical analysis and stability of the Moore-Gibson-Thompson-Fourier model
This work is concerned the Moore-Gibson-Thompson-Fourier Model. Our contribution will consist in studying the numerical stability of the Moore-Gibson-Thompson-Fourier system.
Ali Smouk, Atika Radid
doaj +1 more source
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li +6 more
wiley +1 more source
Elastic Fast Marching Learning from Demonstration
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley +1 more source
Legged robots have advanced in environmental interaction through contact, but most works rely on fixed contact sequences. This work presents a new method based on an indirect optimization method for legged robots to automatically generate contact sequences for complex movements.
Yaowei Chen, Jie Zhang, Ming Lyu
wiley +1 more source
A surrogate‐model‐based framework is proposed for combining high‐fidelity finite element method and efficient physics simulations to enable fast, accurate soft robot simulation for reinforcement learning, validated through sim‐to‐real experiments. Soft robotics holds immense promise for applications requiring adaptability and compliant interactions ...
Taehwa Hong +3 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
ABSTRACT Disparities in Assistive Technology (AT) access exist for Aboriginal and Torres Strait Islander peoples despite recent policy reforms. This paper brings together First Nations and Western academic ways of being, knowing and doing to deliver an AT practice analysis based upon primary data from two research reports into the cultural safety of AT
Shane Hearn +6 more
wiley +1 more source
Building Molecules by a Self‐Replicator That Catalyzes Acyl Hydrazone Formation
A self‐replicator efficiently catalyzes the formation of acyl hydrazone bonds between a set of different substrates. In addition to previously reported (bond‐breaking) catalytic activity, this renders the self‐replicator highly promiscuous, which is a good starting point for Darwinian experiments en route to de‐novo life.
Kayleigh S. van Esterik +2 more
wiley +2 more sources

