Results 231 to 240 of about 220,579 (315)
Phenomenological picture of fluctuations in branching random walks
A.H. Mueller, S. Munier
openalex +2 more sources
The Drosophila tracheal terminal cell as a model for branching morphogenesis. [PDF]
Gavrilchenko T+6 more
europepmc +1 more source
Single‐pump‐actuated transformable dual‐mode gripper (SATDG) that combines vacuum suction and granular jamming to effectively grasp objects ranging from 10 to 300 mm in size, spanning a vast 30‐fold range, with forces from 0.5 to 21 N, is studied. Using a bistable mechanism and origami structure, the SATDG can transform between two modes and activate ...
Tianle Pan+7 more
wiley +1 more source
Calibration of stochastic, agent-based neuron growth models with approximate Bayesian computation. [PDF]
Duswald T+4 more
europepmc +1 more source
Phenobot: An Autodigital Modeling System for in situ Phenotyping in Horticulture
This study introduces a robotic phenotyping system for precision agriculture, integrating environmental understanding, motion planning, and in situ plant phenotyping. The system autonomously navigates through real‐world agricultural environments, collects high‐quality plant data, and reconstructs accurate 3D plant models. Results demonstrate the system'
Kewei Hu+5 more
wiley +1 more source
Scaling Limit of the Path Leading to the Leftmost Particle in a Branching Random Walk
Xinxin Chen
openalex +2 more sources
A general multi-scale description of metastable adaptive motion across fitness valleys. [PDF]
Esser M, Kraut A.
europepmc +1 more source
A bilayered permeable subcutaneous support system is developed to address the hydration challenge in skin‐covered biohybrid robots. Consisting of a perforated skeletal layer and a sponge‐like polyvinyl alcohol hydrogel, the system enables fluid flow, nutrient diffusion, and mechanical support.
Keisuke Ohta+3 more
wiley +1 more source
Parallel synapses with transmission nonlinearities enhance neuronal classification capacity. [PDF]
Song Y, Benna MK.
europepmc +1 more source
Nanomechanical Systems for Reservoir Computing Applications
Nanoelectromechanical systems (NEMS) are known for their strong nonlinear response, which can be conducive for reservoir computing. In this work, the authors build an NEMS‐based reservoir and investigate the classification accuracy as a function of drive levels and operation points.
Enise Kartal+7 more
wiley +1 more source