Results 91 to 100 of about 241,357 (270)

Deconvoluting AMPK dynamics

open access: yesOncotarget, 2015
AMP-activated protein kinase (AMPK) is an evolutionarily conserved heterotrimeric complex composed of α (catalytic α1 and α2) and β/γ (regulatory β1, β2, γ1, γ2, and γ3) subunits and serves as a gatekeeper of energy metabolism by responding to metabolic needs of a cell.
Takafumi, Miyamoto   +2 more
openaire   +2 more sources

The Realization of Multidirectional, Free‐Standing 3D Plasmonic Nanostructures via 3D Nanoprinting: A Case Study of Fractal Antennas

open access: yesAdvanced Functional Materials, EarlyView.
Free‐standing plasmonic gold‐based fractal antennas are fabricated by 3D nanoprinting, employing focused electron beam induced deposition and an optimized purification method to remove carbon while conserving structural fidelity. Simulation and experiment show broadband plasmonic activity, including customizable polarizability, thereby paving the way ...
Verena Reisecker   +6 more
wiley   +1 more source

Performance Evaluation of Acoustic Model-Based Blind Channel Estimation in Ocean Waveguides

open access: yesIEEE Access, 2018
Blind channel estimation (BCE) which does not require the knowledge of the source signals becomes increasingly important in various underwater acoustic applications.
Wei Feng   +3 more
doaj   +1 more source

Non-local image deconvolution by Cauchy sequence

open access: yes, 2015
We present the deconvolution between two smooth function vectors as a Cauchy sequence of weight functions. From this we develop a Taylor series expansion of the convolution problem that leads to a non-local approximation for the deconvolution in terms of
Albertini, Gianni, Dyson, Jack
core  

Stabilizing Cationic Palladium Single‐Atom Sites on Heteroatom‐Doped Carbon for Selective Hydrogen Peroxide Electrosynthesis

open access: yesAdvanced Functional Materials, EarlyView.
In this research, it is demonstrated that dual nitrogen and sulfur doping in hollow carbon spheres creates a tunable coordination environment that stabilizes cationic Pd single atoms as robust organometallic complexes, enabling high selectivity and stability for electrochemical hydrogen peroxide production under harsh acidic and peroxide‐rich ...
Guilherme V. Fortunato   +16 more
wiley   +1 more source

Two‐Dimensional Materials as a Multiproperty Sensing Platform

open access: yesAdvanced Functional Materials, EarlyView.
Various sensing modalities enabled and/or enhanced by two‐dimensional (2D) materials are reviewed. The domains considered for sensing include: 1) optoelectronics, 2) quantum defects, 3) scanning probe microscopy, 4) nanomechanics, and 5) bio‐ and chemosensing.
Dipankar Jana   +11 more
wiley   +1 more source

An Approximate Point-Spread Function for Electrical Impedance Tomography Imaging

open access: yesIEEE Access
In Electrical Impedance Tomography, the ill-posed nature of the inverse problem and the interaction between the electric current and objects cause poor spatial resolution and blurring in the reconstructed images.
Hoang Nhut Huynh   +4 more
doaj   +1 more source

New Lagrange Multipliers for the Blind Adaptive Deconvolution Problem Applicable for the Noisy Case

open access: yesEntropy, 2016
Recently, a new blind adaptive deconvolution algorithm was proposed based on a new closed-form approximated expression for the conditional expectation (the expectation of the source input given the equalized or deconvolutional output) where the output ...
Monika Pinchas
doaj   +1 more source

Multi‐Ion Doping Controlled CEI Formation in Structurally‐Stable High‐Energy Monoclinic‐Phase NASICON Cathodes for Sodium‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
The graphical abstract illustrates the synthesis pathway, morphological feature, and thermodynamic feasibility of entropy‐engineered NASICON cathodes for sodium‐ion batteries. Abstract Overcoming the energy density limitations of sodium‐ion batteries (NIBs) requires innovative strategies to optimize cathode materials.
Sharad Dnyanu Pinjari   +9 more
wiley   +1 more source

Salient Deconvolutional Networks [PDF]

open access: yes, 2016
Deconvolution is a popular method for visualizing deep convolutional neural networks; however, due to their heuristic nature, the meaning of deconvolutional visualizations is not entirely clear. In this paper, we introduce a family of reversed networks that generalizes and relates deconvolution, backpropagation and network saliency.
Mahendran, Aravindh, Vedaldi, Andrea
openaire   +2 more sources

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