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Neat Design for the Structure of Electrode To Optimize the Lithium-Ion Battery Performance

ACS Applied Materials & Interfaces, 2018
The appearance of mechanical cracks originated from anisotropic expansion and shrinkage of electrode particles during Li+ de/intercalation is a major cause of the capacity fading in Li-ion batteries. Well-designed and controlled nanostructures of electrodes have shown a prominent prospect for solving this obstacle.
Yongjie Zhao   +7 more
openaire   +2 more sources

Lipophilic N‐Hydroxyimide Derivatives: Design, Synthesis, and Application to Aerobic Alkane Oxidation Under Neat Conditions

ChemPlusChem, 2022
AbstractThis work reports the design and synthesis of a series of 5‐membered and 6‐membered N‐hydroxyimides flanked by lipophilic alkyl groups adjacent to carbonyl groups, aiming to endow lipophilicity and tolerance toward ring opening degradation. Their solubility in cyclohexane was 5–20 times higher than those of unsubstituted N‐hydroxyphthalimide ...
Takaya Kaneiwa   +3 more
openaire   +2 more sources

Complex-Panel Weld Shrinkage Data Model for Neat Construction Ship Design Engineering

Day 2 Thu, October 25, 2012, 2012
Weld shrinkage data models were developed for thin uniform and complex ship-panels to predict in-plane shrinkage. The complex features in the thin panels include cutouts, inserts, multiple thicknesses, and non-rectangular shaped panels. By analyzing the measured data, it was found that there was no clear indication that a cutout affected the overall ...
Yu-Ping Yang   +7 more
openaire   +1 more source

Uniform-Panel Weld Shrinkage Data Model for Neat Construction Ship Design Engineering

Journal of Ship Production and Design, 2013
A weld shrinkage prediction model was developed for thin uniform ship panels to predict in-plane shrinkage. The weld shrinkage prediction model consists of a series of empirical equations developed by analysis of shrinkage data from welded panels fabricated in the shipyards.
Yu-Ping Yang   +4 more
openaire   +1 more source

Linear Equating for the NEAT Design: Parameter Substitution Models and Chained Linear Relationship Models

Measurement: Interdisciplinary Research & Perspective, 2009
This paper analyzes five linear equating models for the nonequivalent groups with anchor test (NEAT) design with internal anchors (i.e., the anchor test is part of the full test). The analysis employs a two-dimensional framework. The first dimension contrasts two general approaches to developing the equating relationship. Under a parameter substitution
Michael T. Kane   +3 more
openaire   +1 more source

Standard Error of Linear Observed‐Score Equating for the NEAT Design With Nonnormally Distributed Data

Journal of Educational Measurement, 2012
In the nonequivalent groups with anchor test (NEAT) design, the standard error of linear observed‐score equating is commonly estimated by an estimator derived assuming multivariate normality. However, real data are seldom normally distributed, causing this normal estimator to be inconsistent.
Jiyun Zu, Ke‐Hai Yuan
openaire   +1 more source

An Approach to Evaluating the Missing Data Assumptions of the Chain and Post‐stratification Equating Methods for the NEAT Design

Journal of Educational Measurement, 2008
Two important types of observed score equating (OSE) methods for the non‐equivalent groups with Anchor Test (NEAT) design are chain equating (CE) and post‐stratification equating (PSE). CE and PSE reflect two distinctly different ways of using the information provided by the anchor test for computing OSE functions. Both types of methods include linear
Paul W. Holland   +3 more
openaire   +1 more source

Effects of Item Parameter Drift on Vertical Scaling With the Nonequivalent Groups With Anchor Test (NEAT) Design

Educational and Psychological Measurement, 2014
The authors explored the effects of drifting common items on vertical scaling within the higher order framework of item parameter drift (IPD). The results showed that if IPD occurred between a pair of test levels, the scaling performance started to deviate from the ideal state, as indicated by bias of scaling.
Meng Ye, Tao Xin
openaire   +1 more source

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