Results 121 to 130 of about 1,913,123 (347)

A Thermodynamic 3D Model for the Simulation of Diffusion‐Controlled Alloying Processes in Heterogeneous Material Structures

open access: yesAdvanced Engineering Materials, EarlyView.
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer   +3 more
wiley   +1 more source

Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice

open access: yesBusiness Research, 2018
Commonly used discrete choice model analyses (e.g., probit, logit and multinomial logit models) draw on the estimation of importance weights that apply to different attribute levels.
Joseph F. Hair   +5 more
doaj   +1 more source

Investigation of Laser Ablation and Brush Pre‐Treatments for AlCu Cold Roll Bonding in Oxygen‐Free Conditions

open access: yesAdvanced Engineering Materials, EarlyView.
It is shown that laser ablation pretreatment under oxygen‐free conditions enables copper–aluminium bonding at significantly lower deformation degrees and improved properties compared to mechanical brushing. Laser ablation further increases interface contact area and induces favourable residual stress states and microstructural compatibility ...
Khemais Barienti   +11 more
wiley   +1 more source

Comparing Two Deep-Learning Models in Discrete Choice Analysis of Customers’ Mobile Plan Preferences

open access: yesApplied Sciences
A discrete choice experiment (DCE) was used to investigate students’ preferences for mobile phone plans at a South African university. Upon obtaining the data, this study compares the predictive performance of two machine-learning models for discrete ...
Chidimma Oliobi   +2 more
doaj   +1 more source

The Identification and Economic Content of Ordered Choice Models with Stochastic Thresholds [PDF]

open access: yes
This paper extends the widely used ordered choice model by introducing stochastic thresholds and interval-specific outcomes. The model can be interpreted as a generalization of the GAFT (MPH) framework for discrete duration data that jointly models ...
Flavio Cunha   +2 more
core  

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

Analyzing Factors Affecting Tax Morale Levels in Turkey Using Alternative Ordered Response Models

open access: yesTransylvanian Review of Administrative Sciences, 2019
The concept of tax morale is introduced to measure the reason of paying taxes by subjects. The main objective of this paper is twofold. Firstly, the present paper examines potential factors that may influence the degree of tax morale in Turkey. Secondly,
Dilek Özdemir   +2 more
doaj   +1 more source

Unobserved Heterogeneity in Multi-Spell Discrete Time Duration Models [PDF]

open access: yes
This paper considers the estimation of discrete time duration models. We highlight the enhance identification opportunities embedded in multiple spell data to separately identify the effect of duration dependence and individual time invariant unobserved ...
José Ignacio García Pérez   +1 more
core  

Weak identification in discrete choice models

open access: yesJournal of Econometrics
We study the impact of weak identification in discrete choice models, and provide insights into the determinants of identification strength in these models. Using these insights, we propose a novel test that can consistently detect weak identification in commonly applied discrete choice models, such as probit, logit, and many of their extensions ...
Frazier, D.T.   +3 more
openaire   +2 more sources

Reduction of Oxide Inclusions During the High‐Frequency Welding of Steel via a Nonthermal Ar/H2 Plasma Jet

open access: yesAdvanced Engineering Materials, EarlyView.
High‐frequency (HF) welding of steel is limited by oxide inclusions that degrade weld quality. This study demonstrates, for the first time, the integration of a nonthermal Ar/H2 dielectric barrier discharge (DBD) plasma jet into HF welding. Local plasma treatment provides effective shielding and in‐situ oxide reduction, resulting in markedly fewer and ...
Viktor Udachin   +4 more
wiley   +1 more source

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