Results 111 to 120 of about 178,120 (310)

Information-Theoretic Estimation of Preference Parameters: Macroeconomic Applications and Simulation Evidence [PDF]

open access: yes
This paper investigates the behaviour of estimators based on the Kullback-Leibler information criterion (KLIC), as an alternative to the generalized method of moments (GMM).
Jean-Francois Lamarche   +2 more
core  

Mixed‐class J‐domain protein scaffolds promote expanded aggregate handling and multivalent Hsp70 engagement during functional disaggregase assembly

open access: yesFEBS Letters, EarlyView.
Protein aggregates threaten proteostasis and cell health. In human cells, Hsp70–J‐domain protein‐based disaggregases remove aggregates, but how they assemble remains unclear. Our biochemical findings show that DNAJA2‐ and DNAJB1‐containing disaggregase scaffolds enhance luciferase aggregate targeting, and that Hsp70 recruitment by both J‐domain ...
Anna Szlachcic, Nadinath B. Nillegoda
wiley   +1 more source

Galerkin’s Spectral Method in the Analysis of Antenna Wall Operation

open access: yesApplied Sciences
In this paper, a solution to the problem of electromagnetic field scattering on a periodic, constrained, planar antenna structure placed on the boundary of two dielectric media was formulated.
Marian Wnuk
doaj   +1 more source

The zero inflated negative binomial – Crack distribution: some properties and parameter estimation [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2015
The zero inflated negative binomial-Crack (ZINB-CR) distribution is a mixture of Bernoulli distribution and negative binomial-Crack (NB-CR) distribution, which is an alternative distribution for the excessive zero counts and overdispersion.
Pornpop Saengthong   +2 more
doaj  

The Generalized Method of Moments in the Bayesian Framework and a Model of Moment Selection Criterion [PDF]

open access: yes
While the classical framework has a rich set of limited information procedures such as GMM and other related methods, the situation is not so in the Bayesian framework.
Jae-Young Kim
core  

Reconstructing enzyme evolution by protein engineering

open access: yesFEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler   +2 more
wiley   +1 more source

Computationally efficient solution for finding the current density on the illuminated and shadow sides of an infinitely thin circular disk

open access: yesФизика волновых процессов и радиотехнические системы
Background. The article is devoted to the development of a computationally efficient numerical solution to the diffraction problem on an infinitely thin ideally conducting circular disk.
Dmitry K. Ketukh
doaj   +1 more source

Moments of IV and JIVE Estimators [PDF]

open access: yes
We develop a new method, based on the use of polar coordinates, to investigate the existence of moments for instrumental variables and related estimators in the linear regression model. For generalized IV estimators, we obtain familiar results. For JIVE,
Russell Davidson, James G. MacKinnon
core  

Identification of a Shiga toxin A‐derived peptide internalized into Gb3 receptor‐bearing cells via interaction with the Shiga toxin B subunit

open access: yesFEBS Letters, EarlyView.
The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi   +6 more
wiley   +1 more source

Surface Profile Recovery from Electromagnetic Fields with Physics-Informed Neural Networks

open access: yesRemote Sensing
Physics-informed neural networks (PINN) have shown their potential in solving both direct and inverse problems of partial differential equations. In this paper, we introduce a PINN-based deep learning approach to reconstruct one-dimensional rough ...
Yuxuan Chen   +4 more
doaj   +1 more source

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