Results 61 to 70 of about 89,814 (256)

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

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

The Power of F Tests Under Regression Models with Nested Error Structure

Journal of Multivariate Analysis, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rao, J.N.K., Wang, S.G.
openaire   +2 more sources

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

Total variation with overlapping group sparsity for image deblurring under impulse noise. [PDF]

PLoS ONE, 2015
The total variation (TV) regularization method is an effective method for image deblurring in preserving edges. However, the TV based solutions usually have some staircase effects.
Gang Liu, Ting-Zhu Huang, Jun Liu, Xiao-Guang Lv   +3 more
doaj   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
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