Results 71 to 80 of about 3,357,696 (317)

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Thermodynamics and dynamical properties of the KH₂PO₄ type ferroelectric compounds. A unified model

Condensed Matter Physics, 2009
Within the framework of the proposed unified proton ordering model for the ferroelectric compounds of the KH2PO4 family, in the four-particle cluster approximation for the short-range interactions and mean field approximation for the long-range ...
R.R. Levitskii, I.R. Zachek, A.S. Vdovych, S.I. Sorokov   +3 more
doaj   +1 more source

Reaction models in nuclear astrophysics

EPJ Web of Conferences, 2016
We present different reaction models commonly used in nuclear astrophysics, in particular for the nucleosynthesis of light elements. Pioneering works were performed within the potential model, where the internal structure of the colliding nuclei is ...
Descouvemont Pierre
doaj   +1 more source

A fast kernel independence test for cluster-correlated data

Scientific Reports, 2022
Cluster-correlated data receives a lot of attention in biomedical and longitudinal studies and it is of interest to assess the generalized dependence between two multivariate variables under the cluster-correlated structure.
Hoseung Song, Hongjiao Liu, Michael C. Wu   +2 more
doaj   +1 more source

d-wave Superconductivity in the Hubbard Model

, 2000
The superconducting instabilities of the doped repulsive 2D Hubbard model are studied in the intermediate to strong coupling regime with help of the Dynamical Cluster Approximation (DCA).
F. Ronning, H. Ding, H. Keiter, J. Keller, J. R. Schrieffer, M. H. Hettler, M. Jarrell, N. E. Bickers, P. Monthoux, P. W. Anderson, T. Moriya, Th. Maier, Th. Maier, Th. Pruschke, W. Metzner   +14 more
core   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

Longitudinal relaxation of mechanically clamped KH₂PO₄ type crystals

Condensed Matter Physics, 2012
Within the framework of a modified proton ordering model of the KH2PO4 family ferroelectric crystals, taking into account a linear over the strain ϵ6 contribution into the proton system energy, we obtain an expression for longitudinal dynamic dielectric ...
R.R. Levitskii, I.R. Zachek, A.S. Vdovych   +2 more
doaj   +1 more source

Thermodynamics of the quantum critical point at finite doping in the two-dimensional Hubbard model studied via the dynamical cluster approximation [PDF]

, 2009
We study the thermodynamics of the two-dimensional Hubbard model within the dynamical cluster approximation. We use continuous time quantum Monte Carlo as a cluster solver to avoid the systematic error which complicates the calculation of the entropy and
K. Mikelsons, E. Khatami, D. Galanakis, A. Macridin, J. Moreno, M. Jarrell   +5 more
semanticscholar   +1 more source

Exact and Approximation Algorithms for Clustering [PDF]

Algorithmica, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Agarwal, P. K., Procopiuc, C. M.
openaire   +1 more source

Clustering what Matters: Optimal Approximation for Clustering with Outliers

Journal of Artificial Intelligence Research, 2023
Clustering with outliers is one of the most fundamental problems in Computer Science. Given a set X of n points and two numbers k, m, the clustering with outliers aims to exclude m points from X and partition the remaining points into k clusters that minimizes a certain cost function.
Agrawal, Akanksha, Inamdar, Tanmay, Saurabh, Saket, Xue, Jie   +3 more
openaire   +2 more sources