This paper examines the collaborative activities of radiology practitioners, designers and fieldworker/researchers in a work practice oriented multiparty design intervention organised in connection to an experimental teleradiology project. Through an example of image comparison in radiologists' image interpretation the participants can be seen to co-construct shared understandings of radiology ...

BACKGROUND Blood miRNAs are a new promising area of disease research, but variability in miRNA measurements may limit detection of true-positive findings. Here, we measured sources of miRNA variability and determine whether repeated measures can improve power to detect fold-change differences between comparison groups. METHODS Blood from healthy volunteers (N = 12) was collected at three time...

Testing contexts have been shown to critically influence experimental results in psychophysical studies. One of these contexts that show important modulation of the behavioral effects of different stimulatory conditions is the separate (blocked) or mixed presentation of these stimulatory conditions. The study presents evidence that the apparent discriminabilities of two target stimuli can chang...

DNA-based species identification, known as barcoding, transformed the traditional approach to the study of biodiversity science. The field is transitioning from barcoding individuals to metabarcoding communities. This revolution involves new sequencing technologies, bioinformatics pipelines, computational infrastructure, and experimental designs. In this dynamic genomics landscape, metabarcodin...

We re®ne the ®rst theorem of (R. bounding the error of the ADA DABOOST OOST boosting algorithm, to integrate Bayes risk. This suggests the signi®cant time savings could be obtained on some domains without damaging the solution. An applicative example is given in the ®eld of feature selection.

To assess the strength of evidence from the data for competing parameter values or competing models, it uses likelihood ratios between the parameter values or the models. To interpret the likelihood ratios it uses a Bayesian approach which requires in general only the non-informative priors that are widely used in posterior inference about model parameters, though it can accommodate informative...

The paper presents an approach to joint tracking and classification based on belief functions as understood in the transferable belief model (TBM). The TBM model is identical to the classical model except all probability functions are replaced by belief functions, which are more flexible for representing uncertainty. It is felt that the tracking phase is well handled by the classical Kalman fil...

This study addresses seasonal predictability of South American rainfall during ENSO. The skill of empirical and coupled multi-model predictions is assessed and compared. The empirical model uses the previous season AugustSeptember-October Pacific and Atlantic sea surface temperatures as predictors for December-January-February rainfall. Coupled multi-model 1-month lead December-JanuaryFebruary ...

We present a source and lens reconstruction for the optical Einstein ring gravitational lens system RXS J1131-1231. We resolve detail in the source, which is the host galaxy of a z = 0.658 quasar, down to a resolution of 0.045 arc seconds (this is the size of the smallest conclusively resolved structures, rather than the pixel scale), using a Bayesian technique with a realistic model for the pr...

An image is never noise free. Visual inspection of a part from its image is therefore aaected by image errors. Understanding how image errors aaect measurement precision is therefore critical for accurate inspection. Existing visual inspection methods either setup a highly controlled environment to minimize image errors or simply ignore image errors. They therefore suuer from limited accuracy a...