Results 111 to 120 of about 6,390,993 (306)

A quasi-reversibility regularization method for a Cauchy problem of the modified Helmholtz-type equation

open access: yesBoundary Value Problems, 2019
The Cauchy problem of the modified Helmholtz-type equation is severely ill-posed, i.e., the solution does not depend continuously on the given Cauchy data. Thus the regularization methods are required to recover the numerical stability. In this paper, we
Hong Yang, Yanqi Yang
doaj   +1 more source

Iterative Methods for Data Assimilation for Burgers's Equation

open access: yes, 2006
In this paper we consider one-dimensional flow governed by Burgers' equation. We analyze two iterative methods for data assimilation problem for this equation. One of them so called adjoint optimization method, is based on minimization in L 2-norm.
Weinerfelt, Per,   +2 more
core   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

open access: yesAdvanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais   +32 more
wiley   +1 more source

Fourier truncation method for an inverse source problem for space-time fractional diffusion equation

open access: yesElectronic Journal of Differential Equations, 2017
In this article, we study an inverse problem to determine an unknown source term in a space time fractional diffusion equation, whereby the data are obtained at a certain time.
Nguyen Huy Tuan, Le Dinh Long
doaj  

The Ill-Posed Problem in Growth Empirics [PDF]

open access: yes
A problem encountered in growth empirics is that the number of explanatory variables is large compared to the number of observations. This makes it impossible to condition on all regressors when determining if a variable is important.
Peter Sandholt Jensen, Allan H. Würtz
core  

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi   +7 more
wiley   +1 more source

Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets Through Dynamic Dense Scattering Media

open access: yesAdvanced Science, EarlyView.
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley   +1 more source

Application of inversion methods in solving ill-posed problems for magnetic parameter identification of steel hull vessel

open access: yes, 2011
Recovery of magnetic target parameters from magnetic sensor measurements has attracted wide interests and found many practical applications. However, difficulties present in identifying the permanent magnetization due to the complications of ...
Yagola A.G.   +2 more
core   +1 more source

Regulating Cells Fate and Function to Facilitate Bone Regeneration via Designing Programmable Bio‐Interactive Materials

open access: yesAdvanced Science, EarlyView.
This article aims to elucidate the biological mechanisms of bone repair and the evolution of material design, highlighting key cellular and molecular processes. It further proposes strategies and prospects for programmable bio‐interactive materials, which enable precisely guided bone tissue regeneration by dynamically regulating cell behavior and the ...
Qingrui Fan   +6 more
wiley   +1 more source

Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders

open access: yesAdvanced Science, EarlyView.
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley   +1 more source

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