Results 191 to 200 of about 1,456,492 (292)
Mathematical modeling for a primitive form of habituation in an amoeba. [PDF]
Nishi K +3 more
europepmc +1 more source
Spatial variation in liana effects on host‐tree allometry and biomass in an intact tropical forest
Lianas are increasing in abundance across the tropics, yet local spatial variation in their effects on host‐tree allometry and biomass, and the drivers of this variation within forests, remain poorly understood. Using field inventory, drone photogrammetry, and terrestrial laser scanning (TLS) across a 50‐ha plot on Barro Colorado Island, Panama, we ...
Sruthi M. Krishna Moorthy +9 more
wiley +1 more source
Electrophoresis of Charged Dielectric Droplet With Ion Concentration Polarization Effect. [PDF]
Huang Y, Wang M.
europepmc +1 more source
ABSTRACT Allowing structural systems to uplift and rock during seismic excitation has emerged as an effective and inherently self‑centering form of seismic isolation. This paper develops a computationally efficient 3D analytical model suitable for the understanding of the behavior of rocking bridges.
Dimitra Adamopoulou +1 more
wiley +1 more source
ABSTRACT Despite the crucial need for fully quantitative risk assessment of large‐scale structures, their performance is typically assessed through deterministic or semi‐quantitative approaches. The main preventing factor is the computational burden of probabilistic seismic analyses.
M. Amin Hariri‐Ardebili +6 more
wiley +1 more source
Reconstruction of Local Potentials from Matrix Representations in Arbitrary Basis Sets. [PDF]
Sizov GN, Staroverov VN.
europepmc +1 more source
Displacement Estimation of Structures With Flag‐Shaped Hysteresis Loops
ABSTRACT Time‐history analyses were conducted on single‐degree‐of‐freedom (SDOF) systems with flag‐shaped hysteresis loops using a far‐field ground motion suite to estimate peak displacements, Δp, and equivalent deformation cycles, Nc, associated with cumulative displacement demands.
Yudi Zhang +5 more
wiley +1 more source
A generative model for bipartite gene-sharing networks. [PDF]
Iranzo J +4 more
europepmc +1 more source
Machine learning surrogates accurately predict drill cuttings transport from computational fluid dynamics data, with Reynolds number dominating system behavior. While tree‐based models excel in accuracy, Gaussian process regression provides physically consistent, smooth predictions essential for reliable drilling simulations.
Kathrin Skinder +3 more
wiley +1 more source

