Results 221 to 230 of about 136,797 (255)

The Lithuanian multiple sclerosis registry: current framework and quality challenges. [PDF]

Front Neurol
Isačenko J, Musneckienė D, Kizlaitienė R, Giedraitienė N, Kizlaitis R, Malcienė L, Jatužis D, Kaubrys G, Rastenytė D.   +8 more
europepmc   +1 more source

Dynamic Binder Exchange Improves Protein Labeling Efficiency in DNA-PAINT up to 15-Fold. [PDF]

Angew Chem Int Ed Engl
Steinek C, Pachmayr I, Strauss S, Honsa M, Kwon J, Jungmann R.   +5 more
europepmc   +1 more source

Tracing Soil CO₂ Fluxes under Drying-Rewetting Cycles: Isotopic Insights from an Automatic Soil Incubation System. [PDF]

Environ Sci Technol
Zhao Y, Lu N, Trumbore S, Goebel M, Kuebler K, Wang H, Schrumpf M, Wang K, Wang C, Fu B, Huang J.   +10 more
europepmc   +1 more source

Genome-wide identification of the GRF gene family and response to cold stress in astragalus (Astragalus membranaceus). [PDF]

BMC Genomics
Long Y, Chen J, Lv Z, Pan Y, Yu Y, Ma X, Ma D, Cui Y, Zhang K, Liu J, Jiang M, Li H.   +11 more
europepmc   +1 more source

Rethinking catalysis: interpretable AI and description of real-world conditions <i>via</i> materials genes.

Faraday Discuss
Foppa L, Scheffler M.
europepmc   +1 more source

Prediction of Stationary Max-Stable Processes

Annals of Applied Probability, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
, Sidney I Resnick
exaly   +4 more sources

Estimates of the Rate of Convergence for Max-Stable Processes

Annals of Probability, 1989
Let \(\bar X=\{X_ j\); \(j\in {\mathbb{N}}\}\), \(\bar Y=\{Y_ j\); \(j\in {\mathbb{N}}\}\) be the sequences of r.v.'s taking values in spaces \(L_ r(T)\), \(1\leq r0,\quad c_ j(n)\geq 0,\quad j=2,3,...,\quad \sum^{\infty}_{j=1}c_ j(n)=1. \] For any \(\bar X,\) \(\bar Y\) and \(\bar C\) define the normalized maxima \[ \bar X_ n:=\max_{j\in {\mathbb{N ...
S T Rachev
exaly   +3 more sources

A Spectral Representation for Max-stable Processes

Annals of Probability, 1984
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly   +4 more sources

Statistical Inference for Max-Stable Processes in Space and Time [PDF]

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2013
SummaryMax-stable processes have proved to be useful for the statistical modelling of spatial extremes. Several families of max-stable random fields have been proposed in the literature. One such representation is based on a limit of normalized and rescaled pointwise maxima of stationary Gaussian processes that was first introduced by Kabluchko and co ...
, Claudia Klüppelberg
exaly   +4 more sources