Results 11 to 20 of about 143,532 (279)

Solving box constrained variational inequalities by using the natural residual with D-gap function globalization [PDF]

open access: yesOperations Research Letters, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Christian Kanzow, Masao Fukushima
openaire   +4 more sources

Angle-resolved photoemission studies of the superconducting gap symmetry in Fe-based superconductors [PDF]

open access: yesAIP Advances, 2012
The superconducting gap is the fundamental parameter that characterizes the superconducting state, and its symmetry is a direct consequence of the mechanism responsible for Cooper pairing.
Y.-B. Huang   +4 more
doaj   +2 more sources

Image Super-Resolution Reconstruction Algorithm Based on Generative Adversarial Networks [PDF]

open access: yesJisuanji gongcheng, 2021
The existing image Super-Resolution (SR) reconstruction algorithms have difficulty in network training and cause artifacts in the generated images.To address the problem,this paper proposes a SR reconstruction algorithm based on Generative Adversarial ...
JIANG Yuning, LI Jinhua, ZHAO Junli
doaj   +1 more source

Amplitude Growth Functions of Auditory Nerve Responses to Electric Pulse Stimulation With Varied Interphase Gaps in Cochlear Implant Users With Ipsilateral Residual Hearing [PDF]

open access: yesTrends in Hearing, 2021
Amplitude growth functions (AGFs) of electrically evoked compound action potentials (eCAPs) with varying interphase gaps (IPGs) were measured in cochlear implant users with ipsilateral residual hearing (electric-acoustic stimulation [EAS]). It was hypothesized that IPG effects on AGFs provide an objective measure to estimate neural
Marina Imsiecke   +3 more
openaire   +2 more sources

On the unconstrained optimization reformulations for a class of stochastic vector variational inequality problems

open access: yesJournal of Inequalities and Applications, 2023
In this paper, a class of stochastic vector variational inequality (SVVI) problems are considered. By employing the idea of a D-gap function, the SVVI problem is reformulated as a deterministic model, which is an unconstrained expected residual ...
Dan-dan Dong, Guo-ji Tang, Hui-ming Qiu
doaj   +1 more source

Asparagine 175 of Connexin32 Is a Critical Residue for Docking and Forming Functional Heterotypic Gap Junction Channels with Connexin26 [PDF]

open access: yesJournal of Biological Chemistry, 2011
The gap junction channel is formed by proper docking of two hemichannels. Depending on the connexin(s) in the hemichannels, homotypic and heterotypic gap junction channels can be formed. Previous studies suggest that the extracellular loop 2 (E2) is an important molecular domain for heterotypic compatibility.
So, Nakagawa   +6 more
openaire   +2 more sources

Error bounds for mixed set-valued vector inverse quasi-variational inequalities

open access: yesJournal of Inequalities and Applications, 2020
The purpose of this paper is to introduce and study the mixed set-valued vector inverse quasi-variational inequality problems (MSVIQVIPs) and to obtain error bounds for this kind of MSVIQVIP in terms of the residual gap function, the regularized gap ...
Shih-sen Chang   +4 more
doaj   +1 more source

Functional Requirement for a Highly Conserved Charged Residue at Position 75 in the Gap Junction Protein Connexin 32 [PDF]

open access: yesJournal of Biological Chemistry, 2013
Charcot Marie Tooth disease (CMT) is a group of inherited disorders characterized clinically by exclusively or predominantly peripheral nerve dysfunction. CMT1X, the most common form of X-linked CMT is caused by mutations in connexin 32 (Cx32). In this work, we used dual whole cell patch clamp recording to examine the functional effects of mutations at
Charles K, Abrams   +5 more
openaire   +2 more sources

Experimental study on the dependency of the ballistic performance of tiled ceramic/metal targets on inter tile gap width and projectile impact position [PDF]

open access: yes, 2022
S.50-59Inter tile gaps are points of higher vulnerability of tiled armor systems. For the design of armor systems, the knowledge of this weakness effect is essential.
Straßburger, Elmar   +3 more
core   +1 more source

Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint [PDF]

open access: yes, 2022
Overparameterized neural networks enjoy great representation power on complex data, and more importantly yield sufficiently smooth output, which is crucial to their generalization and robustness. Most existing function approximation theories suggest that
Liu, Hao   +5 more
core   +3 more sources

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