Results 111 to 120 of about 57,263 (295)
Creep‐Induced Microstructural Evolution in an A2‐B2 Superalloy
Advanced Engineering Materials, EarlyView.A 27.3Ta‐27.3Mo‐27.3Ti‐8Cr‐10Al (at.%) refractory high‐entropy alloy with precipitation‐strengthened A2‐B2 microstructure was studied by creep tests at 1030°C, which demonstrate a transition in deformation mechanisms in the range of 100–150 MPa applied stress. This is associated with changes in dislocation–precipitate interactions. Relevant deformation
Liu Yang +10 more
wiley +1 more source
DGN cross-validated predictive performance across the elastic net. [PDF]
, 2016 Elastic net prediction models were built in the DGN whole blood and performance was quantified by the cross-validated R2 between observed and predicted expression levels. (A) This panel shows the 10-fold cross validated R2 for 51 genes with R2 > 0.3 from
Nancy J. Cox (47093) +7 more
core +1 more source
Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A
Advanced Engineering Materials, EarlyView.The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han +5 more
wiley +1 more source
Elastic-net regularized regression - R script [PDF]
Elastic-net regularized regression script used for the manuscript entitled 'The relation between visual functions, functional vision, and bimanual function in children with unilateral cerebral palsy'.
Crotti, M (via Mendeley Data)
core +1 more source
Advanced Engineering Materials, EarlyView.Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source
Regularization Paths for Generalized Linear Models via Coordinate Descent [PDF]
We develop fast algorithms for estimation of generalized linear models with convex penalties. The models include linear regression, two-class logistic regression, and multi- nomial regression problems while the penalties include âÂÂ_1 (the lasso), à ...
Trevor Hastie +2 more
core +1 more source
Forecasting Euro Area Macroeconomic Variables with Bayesian Adaptive Elastic Net [PDF]
, 2015 I use the adaptive elastic net in a Bayesian framework and test its forecasting performance against lasso, adaptive lasso and elastic net (all used in a Bayesian framework) in a series of simulations, as well as in an empirical exercise for macroeconomic
Stankiewicz, Sandra
core
Predicting the Survival Time for Bladder Cancer Using an Additive Hazards Model in Microarray Data
Iranian Journal of Public Health, 2016 Background: One substantial part of microarray studies is to predict patients’ survival based on their gene expression profile. Variable selection techniques are powerful tools to handle high dimensionality in analysis of microarray data.
Leili TAPAK +4 more
doaj
Advanced Engineering Materials, EarlyView.The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee +7 more
wiley +1 more source
Elastic net top 15 gene expression. [PDF]
The expression level (y-axis) of genes using TPM normalized counts over time (x-axis) for the top 15 genes identified using the elastic net model. (PNG)
John A. Hadish (12490496) +5 more
core +1 more source