1,624 research outputs found
A Steering Wheel Reversal Rate Metric for Assessing Effects of Visual and Cognitive Secondary Task Load
This paper presents a steering wheel reversal rate metric intended for assessment of the effects of secondary tasks, such as interacting with in-vehicle information systems, on vehicle lateral control performance. The metric was compared to a number of other common steering wheel metrics with respect to the sensitivity to visual and cognitive secondary task load. It was shown that the proposed reversal rate metric, together with the existing steering entropy metric, was the most sensitive across experimental conditions. Different parameter settings for the metric were systematically investigated and suitable values for capturing the effects of visual and cognitive secondary task load recommended
A genetic evaluation of male reproductive fitness at early and late age in Drosophila melanogaster treated with a mutagen
International audienc
Ancora: a web resource for exploring highly conserved noncoding elements and their association with developmental regulatory genes
Ancora is a web resource that provides data and tools for exploring genomic organization of highly conserved noncoding elements for multiple genomes
The pattern of genetic and environmental variation in relation to ageing in laying hens
International audienc
Search for age-dependent as compared to mutagen-induced mutations on the X-chromosome affecting viability in Drosophila melanogaster males
International audienc
Search for age-dependent as compared to mutagen-induced mutations on the X-chromosome affecting viability in Drosophila melanogaster males
Considering Polymorphism in Change-Based Test Suite Reduction
With the increasing popularity of continuous integration, algorithms for
selecting the minimal test-suite to cover a given set of changes are in order.
This paper reports on how polymorphism can handle false negatives in a previous
algorithm which uses method-level changes in the base-code to deduce which
tests need to be rerun. We compare the approach with and without polymorphism
on two distinct cases ---PMD and CruiseControl--- and discovered an interesting
trade-off: incorporating polymorphism results in more relevant tests to be
included in the test suite (hence improves accuracy), however comes at the cost
of a larger test suite (hence increases the time to run the minimal
test-suite).Comment: The final publication is available at link.springer.co
Recommended from our members
Evasion of autophagy mediated by Rickettsia surface protein OmpB is critical for virulence.
Rickettsia are obligate intracellular bacteria that evade antimicrobial autophagy in the host cell cytosol by unknown mechanisms. Other cytosolic pathogens block different steps of autophagy targeting, including the initial step of polyubiquitin-coat formation. One mechanism of evasion is to mobilize actin to the bacterial surface. Here, we show that actin mobilization is insufficient to block autophagy recognition of the pathogen Rickettsia parkeri. Instead, R. parkeri employs outer membrane protein B (OmpB) to block ubiquitylation of the bacterial surface proteins, including OmpA, and subsequent recognition by autophagy receptors. OmpB is also required for the formation of a capsule-like layer. Although OmpB is dispensable for bacterial growth in endothelial cells, it is essential for R. parkeri to block autophagy in macrophages and to colonize mice because of its ability to promote autophagy evasion in immune cells. Our results indicate that OmpB acts as a protective shield to obstruct autophagy recognition, thereby revealing a distinctive bacterial mechanism to evade antimicrobial autophagy
ECG-based estimation of respiratory modulation of AV nodal conduction during atrial fibrillation
Information about autonomic nervous system (ANS) activity may be valuable for
personalized atrial fibrillation (AF) treatment but is not easily accessible
from the ECG. In this study, we propose a new approach for ECG-based assessment
of respiratory modulation in AV nodal refractory period and conduction delay. A
1-dimensional convolutional neural network (1D-CNN) was trained to estimate
respiratory modulation of AV nodal conduction properties from 1-minute segments
of RR series, respiration signals, and atrial fibrillatory rates (AFR) using
synthetic data that replicates clinical ECG-derived data. The synthetic data
were generated using a network model of the AV node and 4 million unique model
parameter sets. The 1D-CNN was then used to analyze respiratory modulation in
clinical deep breathing test data of 28 patients in AF, where a ECG-derived
respiration signal was extracted using a novel approach based on periodic
component analysis. We demonstrated using synthetic data that the 1D-CNN can
predict the respiratory modulation from RR series alone ( = 0.805) and
that the addition of either respiration signal ( = 0.830), AFR ( =
0.837), or both ( = 0.855) improves the prediction. Results from analysis
of clinical ECG data of 20 patients with sufficient signal quality suggest that
respiratory modulation decreased in response to deep breathing for five
patients, increased for five patients, and remained similar for ten patients,
indicating a large inter-patient variability.Comment: 20 pages, 7 figures, 5 table
- …