Results 71 to 80 of about 396,010 (290)

Trajectories of Physical Function in Canadian Children with Juvenile Idiopathic Arthritis

Arthritis Care &Research, Accepted Article.
Objectives We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham, Meghan McPherson, Lillian Lim, Roberta A. Berard, Matthew Berkowitz, Jean‐Philippe Proulx‐Gauthier, Brian M. Feldman, Nicole Johnson, Dax G. Rumsey, Heinrike Schmeling, Lori B. Tucker, Thomas Loughin, Kristin M. Houghton, Jaime Guzman, The CAPRI Registry Investigators   +14 more
wiley   +1 more source

Bayesian model selection for variable-coefficient partial differential equation discovery

Results in Engineering
Data-driven discovery of partial differential equations (PDEs) has emerged as a promising approach for identifying underlying physics when domain knowledge about observed data is limited. Despite recent progress, the identification of governing equations
Pongpisit Thanasutives, Yoshinobu Kawahara, Ken-ichi Fukui   +2 more
doaj   +1 more source

Signals embedded in the radial velocity noise*

EPJ Web of Conferences, 2013
Bayesian data analysis techniques, together with suitable statistical models, can be used to obtain much more information from noisy data than the traditional frequentist methods.
Tuomi Mikko
doaj   +1 more source

An Approach for Determining the Number of Clusters in a Model-Based Cluster Analysis

Entropy, 2017
To determine the number of clusters in the clustering analysis that has a broad range of applied sciences, such as physics, chemistry, biology, engineering, economics etc., many methods have been proposed in the literature.
Serkan Akogul, Murat Erisoglu
doaj   +1 more source

Word2vec Skip-Gram Dimensionality Selection via Sequential Normalized Maximum Likelihood

Entropy, 2021
In this paper, we propose a novel information criteria-based approach to select the dimensionality of the word2vec Skip-gram (SG). From the perspective of the probability theory, SG is considered as an implicit probability distribution estimation under ...
Pham Thuc Hung, Kenji Yamanishi
doaj   +1 more source

Circular RNAs in Clear Cell Renal Cell Carcinoma: Their Microarray-Based Identification, Analytical Validation, and Potential Use in a Clinico-Genomic Model to Improve Prognostic Accuracy [PDF]

, 2019
Circular RNAs (circRNAs) may act as novel cancer biomarkers. However, a genome-wide evaluation of circRNAs in clear cell renal cell carcinoma (ccRCC) has yet to be conducted. Therefore, the objective of this study was to identify and validate circRNAs in
Erbersdobler, Andreas, Fendler, Annika, Franz, Antonia, Jung, Klaus, Jung, Monika, Kilic, Ergin, Ralla, Bernhard, Rochow, Hannah, Stephan, Carsten, Weickmann, Sabine   +9 more
core   +2 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

On the Sufficient Optimality Condition for Quantum Information Processing [PDF]

, 2005
The necessary and sufficient conditions of optimality of the decoding of quantum signals minimizing the Bayesian risk are generalized for the Shannon mutual information criteria.
Belavkin, V. P., Vantsyan, A. G.
core  

Objective Priors: An Introduction for Frequentists

, 2011
Bayesian methods are increasingly applied in these days in the theory and practice of statistics. Any Bayesian inference depends on a likelihood and a prior.
Ghosh, Malay
core   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source