Results 51 to 60 of about 11,165 (303)
A Shortcut to (Sun)Flowers: Kernels in Logarithmic Space or Linear Time [PDF]
, 2015 We investigate whether kernelization results can be obtained if we restrict kernelization algorithms to run in logarithmic space. This restriction for kernelization is motivated by the question of what results are attainable for preprocessing via simple and/or local reduction rules.
Stefan Fafianie, Stefan Kratsch
openaire +2 more sources
Advanced Healthcare Materials, EarlyView.This review examines how in vitro electrical and mechanical stimulation modulates wound healing in fibroblasts and keratinocytes. Analyzing over 560 experimental data points, we relate stimulation parameters to proliferation and migration outcomes, evaluate platform designs, and highlight the need for multi‐parameter optimization to advance targeted ...
Matthew K. Burgess +3 more
wiley +1 more source
Multi-Feature Fusion and Adaptive Kernel Combination for SAR Image Classification
Applied Sciences, 2021 Synthetic aperture radar (SAR) image classification is an important task in remote sensing applications. However, it is challenging due to the speckle embedding in SAR imaging, which significantly degrades the classification performance.
Xiaoying Wu +4 more
doaj +1 more source
, 2006 In this paper we consider the Hodge Laplacian on differential k-forms over smooth open manifolds MN, not necessarily compact. We find sufficient conditions under which the existence of a family of logarithmic Sobolev inequalities for the Hodge Laplacian ...
Charalambous, Nelia, Nelia Charalambous
core +1 more source
Advanced Materials, EarlyView.We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
, 2019 This paper describes a polynomial decay rate of the solution of the Kirchhoff type in viscoelasticity with logarithmic nonlinearity, where an asymptotically-stable result of the global solution is obtained taking into account that the kernel is not ...
Mohammad Alnegga +2 more
core +1 more source
Upper bounds on derivatives of the logarithm of the heat kernel [PDF]
Communications in Analysis and Geometry, 1998 Let \(M\) be a compact, connected Riemannian manifold and denote by \(\Delta\) the Levi-Civita Laplace operator on \(M\). Let \(p_t(x,y)\) be the fundamental solution of the Cauchy initial value problem for the diffusion equation \(u_t=\frac{1}{2}\Delta u\). The main result of this paper asserts that if \(n\) is an arbitrary positive integer then the \(
Stroock, Daniel W., Turetsky, James
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Advanced Materials Technologies, EarlyView.Flexible Chitosan‐glycerol sensor integrated with porous laser‐induced graphene (LIG) electrodes enable room‐temperature chemiresistive detection of ammonia (NH3) and proof‐of‐concept detection of fish spoilage. ABSTRACT We report a metal‐free sensor platform combining laser induced graphene (LIG) electrodes with drop‐deposited, glycerol‐plasticized ...
Mintesinot Tamiru Mengistu +9 more
wiley +1 more source
The central emission vertex of two gravitons
Journal of High Energy PhysicsIt has recently been shown that there exists an s-channel sequence of classical corrections [1] to the H diagram computed long ago by Amati, Ciafaloni and Veneziano [2].
Damiano Barcaro, Vittorio Del Duca
doaj +1 more source
Advanced Science, EarlyView.We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source