Results 81 to 90 of about 2,103,088 (288)

Negative consequences associated with dependence in daily cannabis users

open access: yesSubstance Abuse Treatment, Prevention, and Policy, 2007
Background Cannabis is the most widely consumed illicit substance in America, with increasing rates of use. Some theorists tend to link frequency of use with cannabis dependence.
Earleywine Mitch, Looby Alison
doaj   +1 more source

Measuring directional dependency

open access: yes, 2010
In this article we propose new methods for finding the direction of dependency between two random variables which are related by a linear function.
Dodge, Yadolah, Yadegari, Iraj
openaire   +2 more sources

Mutual information: a dependence measure for nonlinear time series [PDF]

open access: yes
This paper investigates the possibility to analyse the structure of unconditional or conditional (and possibly nonlinear) dependence in financial returns without requiring the specification of mean-variance models or a theoretical probability ...
Andreia Dionisio   +2 more
core  

Structural biology of ferritin nanocages

open access: yesFEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

An Analysis of a Heuristic Procedure to Evaluate Tail (in)dependence

open access: yesJournal of Probability and Statistics, 2014
Measuring tail dependence is an important issue in many applied sciences in order to quantify the risk of simultaneous extreme events. A usual measure is given by the tail dependence coefficient.
Marta Ferreira, Sérgio Silva
doaj   +1 more source

Dependence Measuring from Conditional Variances

open access: yesDependence Modeling, 2015
Abstract A conditional variance is an indicator of the level of independence between two random variables. We exploit this intuitive relationship and define a measure v which is almost a measure of mutual complete dependence. Unsurprisingly, the measure attains its minimum value for many pairs of non-independent ran- dom variables ...
Kamnitui Noppadon   +2 more
openaire   +2 more sources

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

open access: yesFEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

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

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

open access: yesFEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai   +9 more
wiley   +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

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