Results 121 to 130 of about 4,818,434 (320)

Directed Motion of Elongated Active Polymers

open access: yes, 2013
Previous work shows that a net directed motion arises from a system of individual particles undergoing run-and-tumble dynamics in the presence of an array of asymmetric barriers.
Jho, YongSeok, Wan, Mew-Bing
core   +1 more source

Regularized Continuous-Time Markov Model via Elastic Net

open access: yesBiometrics, 2018
Summary Continuous-time Markov models are commonly used to analyze longitudinal transitions between multiple disease states in panel data, where participants’ disease states are only observed at multiple time points, and the exact state paths between observations are unknown.
Shuang Huang   +7 more
openaire   +3 more sources

Rheocasting versus Die Casting: An Insight into the Low‐Cycle Fatigue Behavior of AlSi7Mg0.6

open access: yesAdvanced Engineering Materials, EarlyView.
The study compares rheocast lightweight components with high‐pressure die cast materials regarding microstructure and fatigue behavior. Rheocast process offers higher efficiency due to lower casting temperatures. Despite some microstructural differences, both processes show similar strengths (yield strength 125 MPa, tensile strength 240 MPa).
Julia Richter   +4 more
wiley   +1 more source

Design and Prototyping of Topology‐Optimized, Additively Manufactured Lightweight Components for Space Robotic Systems: A Case Study

open access: yesAdvanced Engineering Materials, EarlyView.
The results demonstrate a simulation‐driven workflow that applies LSB topology optimization with additive manufacturing constraints to mission‐specific load cases, integrating European Cooperation for Space Standardization compliant verification and manufacturability to develop structurally efficient rover suspension components.
Stelios K. Georgantzinos   +11 more
wiley   +1 more source

Multimodal radiomics fusion for predicting postoperative recurrence in NSCLC patients

open access: yesJournal of Cancer Research and Clinical Oncology
Purpose Postoperative recurrence in non-small cell lung cancer (NSCLC) affects up to 55% of patients, underscoring limits of TNM staging.
Ghazal Mehri-kakavand   +3 more
doaj   +1 more source

Transfer of Energy and Momentum Between Magnetoactive Surface Microstructure and a Solid Object

open access: yesAdvanced Engineering Materials, EarlyView.
We demonstrate that magnetoactive multilamellar arrays subjected to a rotating magnetic field can function as platforms for controlled transport of physical objects. Through systematic experimental investigation, we elucidate the underlying physical mechanisms determining the upper limit of the achievable transportation speed in such magnetic “conveyor‐
Arne Geldof   +9 more
wiley   +1 more source

Predicting the Survival Time for Bladder Cancer Using an Additive Hazards Model in Microarray Data

open access: yesIranian 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  

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar   +2 more
wiley   +1 more source

A comparative study of the Lasso-type and heuristic model selection methods [PDF]

open access: yes
This study presents a first comparative analysis of Lasso-type (Lasso, adaptive Lasso, elastic net) and heuristic subset selection methods. Although the Lasso has shown success in many situations, it has some limitations.
Ivan Savin
core  

Fast Convergence Rate of Multiple Kernel Learning with Elastic-net Regularization [PDF]

open access: yes, 2011
We investigate the learning rate of multiple kernel leaning (MKL) with elastic-net regularization, which consists of an $\ell_1$-regularizer for inducing the sparsity and an $\ell_2$-regularizer for controlling the smoothness.
Sugiyama, Masashi   +2 more
core  

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