Results 81 to 90 of about 34,438,554 (301)

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

open access: yesFEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura   +2 more
wiley   +1 more source

Assessing model data fit of unidimensional item response theory models in simulated data

open access: yesEducational Research and Reviews, 2014
The pupose of this paper is to give an example of how to assess the model-data fit of unidimensinal IRT models in simulated data. Also, the present research aims to explain the importance of fit and the consequences of misfit by using simulated data sets.
openaire   +1 more source

Diversity and complexity in neural organoids

open access: yesFEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Collapsing or Not? A Practical Guide to Handling Sparse Responses for Polytomous Items

open access: yesMethodology
In ordinal data analysis, category collapse is the process of combining adjacent response options to create fewer response categories than were originally measured.
Yale Quan, Chun Wang
doaj   +1 more source

Health Promotion Behavior of Chinese International Students in Korea Including Acculturation Factors: A Structural Equation Model

open access: yesAsian Nursing Research, 2016
Purpose: The purpose of this study was to explain the health promotion behavior of Chinese international students in Korea using a structural equation model including acculturation factors.
Sun Jung Kim, RN, PhD   +1 more
doaj   +1 more source

Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation

open access: yesFEBS Letters, EarlyView.
Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz   +11 more
wiley   +1 more source

Testing the fit of the logistic model for matched case-control studies.

open access: yes, 2013
[[abstract]]With numerous statistical packages being easily available to conduct the logistic regression analysis, assessment for the goodness-of-fit in the logistic case-control studies becomes more important in practice. While various methods for model
Li-Ching Chen;Jiun-Yi Wang
core  

Why Do Bi-Factor Models Outperform Higher-Order g Factor Models? A Network Perspective

open access: yesJournal of Intelligence
Bi-factor models of intelligence tend to outperform higher-order g factor models statistically. The literature provides the following rivalling explanations: (i) the bi-factor model represents or closely approximates the true underlying data-generating ...
Kees-Jan Kan   +4 more
doaj   +1 more source

Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation

open access: yesEntropy, 2009
By a “covering” we mean a Gaussian mixture model fit to observed data. Approximations of the Bayes factor can be availed of to judge model fit to the data within a given Gaussian mixture model.
Jean-Luc Starck   +2 more
doaj   +1 more source

Item level diagnostics and model - data fit in item response theory (IRT) using BILOG - MG v3.0 and IRTPRO v3.0 programmes

open access: yesGlobal Journal of Educational Research, 2017
Item response theory (IRT) is a framework for modeling and analyzing item response data. Item-level modeling gives IRT advantages over classical test theory. The fit of an item score pattern to an item response theory (IRT) models is a necessary condition that must be assessed for further use of item and models that best fit the data.
Essen, Cyrinus B.   +2 more
openaire   +3 more sources

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