Results 81 to 90 of about 4,430,595 (297)

Specifying the Random Effect Structure in Linear Mixed Effect Models for Analyzing Psycholinguistic Data

open access: yesMethodology, 2020
Linear Mixed Effect Models (LMEM) have become a popular method for analyzing nested experimental data, which are often encountered in psycholinguistics and other fields.
Jungkyu Park   +2 more
doaj   +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

Multilevel modeling for longitudinal data: concepts and applications [PDF]

open access: yesRAUSP Management Journal, 2019
Purpose – This paper aims to discuss multilevel modeling for longitudinal data, clarifying the circumstances in which they can be used. Design/methodology/approach – The authors estimate three-level models with repeated measures, offering conditions for ...
Joseph F. Hair Jr., Luiz Paulo Fávero
doaj   +1 more source

Dynamical Exchange Effects in a Two-Dimensional Many-Polaron Gas

open access: yes, 2004
We calculate the influence of dynamical exchange effects on the response properties and the static properties of a two-dimensional many-polaron gas. These effects are not manifested in the random-phase approximation which is widely used in the analysis ...
Brosens, F.   +3 more
core   +1 more source

AAA+ protein unfoldases—the Moirai of the proteome

open access: yesFEBS Letters, EarlyView.
AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley   +1 more source

Mixed-effects growth curves in the valuation of Nellore sires Curvas de crescimento de efeitos mistos na avaliação de touros Nelore

open access: yesScientia Agricola, 2009
Cattle breeding programmes need objective criteria in order to evaluate and subsequently improve production systems. This work uses a logistic growth curve model for evaluating sires based on their progeny weight measured repeatedly over time.
Suely Ruiz Giolo   +2 more
doaj   +1 more source

pH‐mediated activation of the lysosomal arginine sensor SLC38A9

open access: yesFEBS Letters, EarlyView.
Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley   +1 more source

Addressing scope of inference for global genetic evaluation of livestock Direcionamento do âmbito de inferência para avaliação genética global dos animais

open access: yesRevista Brasileira de Zootecnia, 2010
Genetic evaluations should become more accurate with the advent of whole genome selection (WGS) based on high density SNP panels. The use of WGS should then accelerate genetic gains for production traits given likely decreases in generation interval due ...
Robert John Tempelman
doaj   +1 more source

Nonparametric inference procedure for percentiles of the random effects distribution in meta-analysis

open access: yes, 2010
To investigate whether treating cancer patients with erythropoiesis-stimulating agents (ESAs) would increase the mortality risk, Bennett et al. [Journal of the American Medical Association 299 (2008) 914--924] conducted a meta-analysis with the data from
Cai, Tianxi   +3 more
core   +1 more source

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

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