Results 51 to 60 of about 57,585 (308)

3D time series analysis of cell shape using Laplacian approaches [PDF]

open access: yes, 2013
Background: Fundamental cellular processes such as cell movement, division or food uptake critically depend on cells being able to change shape. Fast acquisition of three-dimensional image time series has now become possible, but we lack efficient tools
Stephens, Len R.   +7 more
core   +1 more source

Resonant nonlinear periodic problems with the scalar p-Laplacian and a nonsmooth potential [PDF]

open access: yes, 2006
We study periodic problems driven by the scalar p-Laplacian with a nonsmooth potential. Using the nonsmooth critical point theory for locally Lipsctiz functions,we prove two existence theorems under conditions of resonance at infinity with respect to ...
Staicu, Vasile   +6 more
core   +1 more source

Mechanically Mutable Matrices: A Hierarchical Investigation of Decellularized Sea Cucumber Collagen as an Adaptable Scaffold Material

open access: yesAdvanced Functional Materials, EarlyView.
Sea cucumber mutable collagenous tissue (MCT) is a remarkable collagen‐based material which can rapidly undergo large changes in stiffness through transiently bound effector proteins. Here, we investigate the hierarchical structure and mechanical response of MCT from Cucumaria frondosa across length scales with a wide range of methods, also exploring ...
Nathalie R. H. Singh   +7 more
wiley   +1 more source

The Bayesian-Laplacian Brain [PDF]

open access: yesEuropean Journal of Neuroscience, 2016
Abstract We outline what we believe could be an improvement in future discussions of the brain acting as a Bayesian-Laplacian system. We do so by distinguishing between two broad classes of priors on which the brain’s inferential systems operate: in one category are biological priors ( β priors
Semir Zeki, Oliver Y. Chén
openaire   +3 more sources

Semilinear Poisson problems in Sobolev-Besov spaces on Lipschitz domains [PDF]

open access: yes, 2002
Extending recent work for the linear Poisson problem for the Laplacian in the framework of Sobolev-Besov spaces on Lipschitz domains by Jerison and Kenig [16], Fabes, Mendez and Mitrea [9], and Mitrea and Taylor [30], here we take up the task of ...
M. Mitrea   +3 more
core   +2 more sources

Flexible Dielectric Acoustic Resonator Patch for Tissue Regeneration

open access: yesAdvanced Materials, EarlyView.
A flexible dielectric acoustic resonator patch enables MHz‐range ultrasound generation through resonance amplification without using piezoelectric materials. Conformal integration on a curved substrate allows efficient acoustic delivery to tissue‐mimicking environments.
Donyoung Kang   +7 more
wiley   +1 more source

Re-patterning of cylindrical packing of diblock copolymers under confinement and curvature effects by using approximations of PDE’s involved in the CDS model on polar mesh system

open access: yesJournal of Physics Communications
Soft materials, including diblock copolymers, are advancing nanotechnology due to their unique properties, applications materials include energy harvesting, water sanitation, environmental treatment, nanosensors, drug delivery and nanolithography.
Muhammad Javed Iqbal   +2 more
doaj   +1 more source

Convolution operators and the discrete Laplacian [PDF]

open access: yes, 2009
PhDIn this thesis, we obtain new results for convolution operators on homogeneous spaces and give applications to the Laplacian on a homogeneous graph. Some of these results have been published in joint papers [13, 14] with my supervisor.
Chen, Chung-Chuan
core  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Introducing INPOX: a method for informed point extraction from geological 2D surfaces exemplified on the Danish national hydrostratigraphic model

open access: yesGEUS Bulletin
This study presents a probabilistic method for extracting informed points from geological surfaces, named INPOX. The method generates a probability map from the existing surface by calculating the Laplacian at each location and combining it with a user ...
Rasmus Bødker Madsen   +3 more
doaj   +1 more source

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