Results 61 to 70 of about 3,592,266 (281)

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

Protocol for a randomised controlled trial of cognitive bias modification training during inpatient withdrawal from alcohol use disorder

Trials, 2018
Background People with alcohol use disorders often exhibit an “alcohol approach bias”, the automatically triggered action tendency to approach alcohol. Approach bias is likely to persist following withdrawal from alcohol, and contribute to the high rate ...
Victoria Manning, Joshua B. B. Garfield, Samuel C. Campbell, John Reynolds, Petra K. Staiger, Jarrad A. G. Lum, Kate Hall, Reinout W. Wiers, Dan I. Lubman, Antonio Verdejo-Garcia   +9 more
doaj   +1 more source

Addressing Non-response Bias in Urban Forest Inventories: An Estimation Approach

Frontiers in Forests and Global Change, 2022
When conducting urban forest inventories, complete or partial inaccessibility of sample plots results in non-response for a portion of the selected sample.
James A. Westfall, Christopher B. Edgar
doaj   +1 more source

Home bias and expected returns: A structural approach

Journal of International Money and Finance, 2021
We study the effect of the home bias on international asset pricing by extending the core-satellite approach of active asset allocation to an equilibrium analysis. In this framework, investors combine a common core portfolio with an active investment in their home asset.
Martin Wallmeier, Christoph Iseli
openaire   +1 more source

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd, Melissa Taylor, Helen Fulbright, Bob Phillips   +3 more
wiley   +1 more source

Learning-to-Learn Stochastic Gradient Descent with Biased Regularization [PDF]

, 2019
We study the problem of learning-to-learn: inferring a learning algorithm that works well on tasks sampled from an unknown distribution. As class of algorithms we consider Stochastic Gradient Descent on the true risk regularized by the square euclidean ...
Ciliberto, Carlo, Denevi, Giulia, Grazzi, Riccardo, Pontil, Massimiliano   +3 more
core   +1 more source

Transport through single-level systems: Spin dynamics in the nonadiabatic regime

, 2012
We investigate the Fano-Anderson model coupled to a large ensemble of spins under the influence of an external magnetic field. The interaction between the two spin systems is treated within a meanfield-approach and we assume an anisotropic coupling ...
Brandes, T., Metelmann, A.
core   +1 more source

Prognostic Impact of Treatment Modalities, Including Targeted Compartmental Radio‐Immunotherapy, in a Cohort of Neuroblastoma Patients With CNS Metastases at Relapse

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez, Anna Felip‐Badia, Marina Caballero‐Bellon, Nazaret Sanchez‐Sierra, Alicia Castañeda, Moira Garraus, Maite Gorostegui, Margarida Simão‐Rafael, Juan Pablo Muñoz, Marta Perez‐Somarriba, Salvador Mañe, Mariana Cecilia Planells, Sara Perez‐Jaume, Jaume Mora   +13 more
wiley   +1 more source

Debiasing Community Detection: The Importance of Lowly-Connected Nodes [PDF]

, 1940
Community detection is an important task in social network analysis, allowing us to identify and understand the communities within the social structures.
Mehrabi, Ninareh, Morstatter, Fred, Peng, Nanyun, Galstyan, Aram   +3 more
core   +10 more sources

Nonequilibrium Steady States and Fano-Kondo Resonances in an AB Ring with a Quantum Dot

, 2006
Electron transport through a strongly correlated quantum dot (QD) embedded in an Aharonov-Bohm (AB) ring is investigated with the aid of the finite-U slave-boson mean-field (SBMF) approach extended to nonequilibrium regime. A nonequilibrium steady state (
Aguado R., Aikawa H., Anderson P. W., Aono T., Aono T., Aono T., Bratteli O., Bułka B. R., Costi T. A., Craco L., Cronenwett S. M., Ding G. H., Dirac P. A. M., Dirac P. A. M., Dirac P. A. M., Dong B., Dong B., Dong B., Dong B., Dong B., Dong B., Fano U., Fetter A. L., Fröhlich J., Gerland U., Ho T. G., Hofstetter W., Jakšić V., Jakšić V., Jakšić V., Kang K., Karrasch C., Katsumoto S., Kobayashi K., Kobayashi K., Kotliar G., Kubala B., Lara G. A., Ma J., Newton R. G., Ojima I., Ojima I., Quan W. S., Ruelle D., Ruelle D., Ruelle D., Sato M., Schuster R., Simon P., Sinai Ya. G., Takahashi J., Takahashi J., Tasaki S., Ueda A., van der Wiel W. G., Wu B. H., Yacoby A.   +56 more
core   +1 more source