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dedup_wf_001--ed7328c8b063e20172ab4d362aeded5d
CWATM dataset for version 1.04 ------------------------------ CWATM_Data ¦ ¦- README.txt ¦... -
An overview of the study samples, tasks, and methods.
An overview of the study samples, tasks, and methods. -
Media 1: Enhanced degree of temporal coherence through temporal and spatial p...
Originally published in Optics Express on 26 October 2009 (oe-17-22-20140) -
Characteristic level showing the highest level of an idealized hierarchy to w...
Characteristic level showing the highest level of an idealized hierarchy to which an average connected component corresponds. -
r37980778c78--2473bb0616474c464af03df711cc77e1
Multivariate ordinal logistic model of factors associated with low adherence to antihypertensive medication. -
In vivo volumetric imaging of human retinal circulation with phase-variance o...
We present in vivo volumetric images of human retinal micro-circulation using Fourier-domain optical coherence tomography (Fd-OCT) with the phase-variance based motion contrast... -
Characteristics of prescriber cohorts for each class of new drug.
Characteristics of prescriber cohorts for each class of new drug. -
Maximum and minimum estimated effective population sizes (95% confidence inte...
Maximum and minimum estimated effective population sizes (95% confidence intervals, in thousands). -
r37980778c78--1b62e91d1d68ce6d3769768eafd8750a
Distribution of cardiovascular risk factors by occupation of Solan Surveillance Study participants. -
r37980778c78--ec276dd7cfd6e7c98973aeefe4d034b2
The organic content of shale has become of commercial interest as a source of hydrocarbons, owing to the development of hydraulic fracturing (“fracking”). While the main focus... -
r37980778c78--b18a32a3e368b7fc130f0c3a74c9b135
Hypertension and alcohol abuse in the indigenous Mura, Brazil. -
Meta-regression for men and women: Coefficients, standard errors in brackets,...
Meta-regression for men and women: Coefficients, standard errors in brackets, and p-values in square brackets. -
r37980778c78--20f27521cb904a52d4d1910e1472996c
Predictors of disengagement from care—multivariable logistic regressiona (n = 136).