Results 61 to 70 of about 90,332 (254)

Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys

Advanced Engineering Materials, EarlyView.
This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa, Aparna Saksena, Alesander Kostka, Pascal Thome, Felicitas Scholz, Alexandre Mussi, Christoph Somsen, Baptiste Gault, Jan Frenzel, Gunther Eggeler   +9 more
wiley   +1 more source

Development and interpretation of a machine learning model for predicting body mass index in Chinese adolescents: a prospective cohort study

Frontiers in Public Health
PurposesThis study aimed to develop a machine learning model to predict body mass index (BMI) in adolescents based on readily accessible daily information and to investigate the influence of modifiable factors on BMI changes through model interpretation ...
Zikang Zhang, Zikang Zhang, Wei Peng, Wei Peng, Shaoming Sun, Shaoming Sun, Fangwen Zhang, Fangwen Zhang, Yining Sun, Lei Huang, Lei Huang   +10 more
doaj   +1 more source

Segmentation of Printed Circuit Board Components Based on Nested U-shape Structures [PDF]

Jisuanji gongcheng
As an important modern electronic component, component segmentation of highly integrated Printed Circuit Boards (PCB) is a typical small-object image segmentation task. Owing to the excessive introduction of complex backgrounds, component segmentation of
LI Zhijin, FAN Xiaozhen, YAN Jinfeng
doaj   +1 more source

Estimation and Prediction in Transformed Nested Error Regression Models

, 2014
This manuscript is superseded by "Adaptively transformed mixed model prediction of general finite population parameters" by Sugasawa and Kubokawa (arXiv:1705.04136)
Sugasawa, Shonosuke, Kubokawa, Tatsuya
openaire   +2 more sources

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Empirical best linear unbiased predictors in multivariate nested-error regression models [PDF]

Communications in Statistics - Theory and Methods, 2019
For analyzing unit-level multivariate data in small area estimation, we consider the multivariate nested error regression model (MNER) and provide the empirical best linear unbiased predictor (EBLUP) of a small area characteristic based on second-order unbiased and consistent estimators of the `within' and `between' multivariate components of variance.
Ito, Tsubasa, Kubokawa, Tatsuya
openaire   +2 more sources

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Subsetting reduces the error of MIR spectroscopy models for soil organic carbon prediction in the U.S. Great Plains

Soil Security
High demand for soil organic carbon data to support soil health and climate change mitigation efforts must be met with rapid, accurate, and inexpensive measurement methods.
Minerva J. Dorantes, Bryan A. Fuentes, David M. Miller   +2 more
doaj   +1 more source

Testing capital structure theories using error correction models: Evidence from China, India, and South Africa

Cogent Economics & Finance, 2018
The objective of this study is to empirically examine the capital structure theories that can explain the capital structure choice made by the firms that are operating in China, India, and South Africa. The study tests the capital structure theories as a
M. Kannadhasan, Bhanu Pratap Singh Thakur, C.P. Gupta, Parikshit Charan   +3 more
doaj   +1 more source

Evaluating Eigenvector Spatial Filter Corrections for Omitted Georeferenced Variables

Econometrics, 2016
The Ramsey regression equation specification error test (RESET) furnishes a diagnostic for omitted variables in a linear regression model specification (i.e., the null hypothesis is no omitted variables). Integer powers of fitted values from a regression
Daniel A. Griffith, Yongwan Chun
doaj   +1 more source