Results 91 to 100 of about 3,883,688 (301)

Utility of the Dependence Scale in dementia: validity, meaningfulness, and health economic considerations

open access: yesAlzheimer’s Research & Therapy, 2018
Background The concept of dependence has been proposed as a unified representation of disease severity to quantify and stage disease progression in a manner more informative to patients, caregivers, and healthcare providers. Methods This paper provides a
Carolyn W. Zhu   +2 more
doaj   +1 more source

Residual tail twisting in ascidian larvae is stabilized by asymmetric myofibrils that resist bilateral symmetry restoration

open access: yesFEBS Letters, EarlyView.
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure   +3 more
wiley   +1 more source

On a new measure of dependence and its applications

open access: yes, 2012
A new measure of dependence called pseudo-covariance and related to covariance is proposed. It can be applied in problems when the classic covariance fails.
Piotr Pawlas, Dominik Szynal
core   +1 more source

Measure of Dependence for Length-Biased Survival Data [PDF]

open access: yes, 2017
In epidemiological studies, subjects with disease (prevalent cases) differ from newly diseased (incident cases). They tend to survive longer due to sampling bias, and related covariates will also be biased.
Bentoumi, Rachid
core   +1 more source

Development and initial validation of a new self-report measure to assess perceived dependence on tobacco and nicotine products

open access: yesScientific Reports
How nicotine is administered has evolved from cigarettes to various delivery systems. Assessing perceived dependence on nicotine-containing products now requires accounting for product specificity while allowing comparisons across products and users ...
Esther F. Afolalu   +6 more
doaj   +1 more source

Nonparametric Estimation of the Tail-Dependence Coefficient

open access: yesRevstat Statistical Journal, 2013
A common measure of tail dependence is the so-called tail-dependence coefficient. We present a nonparametric estimator of the tail-dependence coefficient and prove its strong consistency and asymptotic normality in the case of known marginal ...
Marta Ferreira
doaj   +1 more source

Biophysical approaches for studying viral entry

open access: yesFEBS Letters, EarlyView.
Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley   +1 more source

Informeasure: an R/bioconductor package for quantifying nonlinear dependence between variables in biological networks from an information theory perspective

open access: yesBMC Bioinformatics
Background Using information measures to infer biological regulatory networks can capture nonlinear relationships between variables. However, it is computationally challenging, and there is a lack of convenient tools.
Chu Pan, Yanlin Chen
doaj   +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

Component importance based on dependence measures [PDF]

open access: yesMathematical Methods of Operations Research, 2017
We discuss the construction of component importance measures for binary coherent reliability systems from known stochastic dependence measures by measuring the dependence between system and component failures. We treat both the time-dependent case in which the system and its components are described by binary random variables at a fixed instant as well
openaire   +2 more sources

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