1,055 research outputs found
DeltaImpactFinder: Assessing Semantic Merge Conflicts with Dependency Analysis
In software development, version control systems (VCS) provide branching and
merging support tools. Such tools are popular among developers to concurrently
change a code-base in separate lines and reconcile their changes automatically
afterwards. However, two changes that are correct independently can introduce
bugs when merged together. We call semantic merge conflicts this kind of bugs.
Change impact analysis (CIA) aims at estimating the effects of a change in a
codebase. In this paper, we propose to detect semantic merge conflicts using
CIA. On a merge, DELTAIMPACTFINDER analyzes and compares the impact of a change
in its origin and destination branches. We call the difference between these
two impacts the delta-impact. If the delta-impact is empty, then there is no
indicator of a semantic merge conflict and the merge can continue
automatically. Otherwise, the delta-impact contains what are the sources of
possible conflicts.Comment: International Workshop on Smalltalk Technologies 2015, Jul 2015,
Brescia, Ital
The effects of stellar winds on the magnetospheres and potential habitability of exoplanets
Context: The principle definition of habitability for exoplanets is whether
they can sustain liquid water on their surfaces, i.e. that they orbit within
the habitable zone. However, the planet's magnetosphere should also be
considered, since without it, an exoplanet's atmosphere may be eroded away by
stellar winds. Aims: The aim of this paper is to investigate magnetospheric
protection of a planet from the effects of stellar winds from solar-mass stars.
Methods: We study hypothetical Earth-like exoplanets orbiting in the host
star's habitable zone for a sample of 124 solar-mass stars. These are targets
that have been observed by the Bcool collaboration. Using two wind models, we
calculate the magnetospheric extent of each exoplanet. These wind models are
computationally inexpensive and allow the community to quickly estimate the
magnetospheric size of magnetised Earth-analogues orbiting cool stars. Results:
Most of the simulated planets in our sample can maintain a magnetosphere of ~5
Earth radii or larger. This suggests that magnetised Earth analogues in the
habitable zones of solar analogues are able to protect their atmospheres and is
in contrast to planets around young active M dwarfs. In general, we find that
Earth-analogues around solar-type stars, of age 1.5 Gyr or older, can maintain
at least a Paleoarchean Earth sized magnetosphere. Our results indicate that
planets around 0.6 - 0.8 solar-mass stars on the low activity side of the
Vaughan-Preston gap are the optimum observing targets for habitable Earth
analogues.Comment: 8 pages, 3 figures, accepted to Astronomy and Astrophysic
Probabilistic design and uncertainty quantification of the structure of a monopile offshore wind turbine
International audienceDespite the increasing demand for offshore energy, structural components of offshore wind turbines (OWT), such as the tower and foundation, are considered the most critical parts of the turbine. In fact, uncertainties regarding load conditions, soil and structural properties highly undermine the OWT structural reliability. In this scenario, in order to obtain more accurate results, rigorous probabilistic analyses are necessary. In this study, a probabilistic analysis of the dynamic response of a monopile OWT is conducted by using a systematic uncertainty quantification (UQ) framework to deal with the uncertainty assessment of the model input parameters. The proposed dynamic model computes the dynamic response of the turbine due to wind and waves loads on the monopile structure utilizing a simple cantilever beam analytical model. The distributions of the model input parameters are determined using (1) non-parametric statistics for a large dataset, and (2) the maximum entropy principle for a small dataset. Monte Carlo simulations are performed to propagate the uncertainties of the model inputs and to determine the system reliability expressed in terms of their probability of failure for the serviceability limit state design criterion. Finally, to demonstrate the shortcomings of traditional approaches that assume standard distributions to model uncertainties, a UQ approach modeling the uncertainties of the parameters using normal distributions is contrasted with our framework. From the results, significant differences between the distribution shape and values of the probability of failure can be observed; thus, it demonstrates the importance of developing probabilistic frameworks with systematic UQ to have more realistic approximations of the reliability of the OWT structure
Risk-based analysis of femoral stem considering uncertainty in its design parameters
International audienceThe number of young people getting total hip arthroplasty surgery is on the rise and studies have shown that the average number of perfect health years after such surgery is being reduced to about 9 years; this is because of complications which can lead to the failure of such implants. Consequently, such failures cause the implant not to last as long as required. The uncertainty in design parameters, loading, and even the manufacturing process of femoral stems, makes it important to consider uncertainty quantification and probabilistic modeling approaches instead of the traditional deterministic approach when designing femoral stems. This paper proposes a probabilistic analysis method which considers uncertainties in the design parameters of femoral implants to determine its effect on the implant stiffness. Accordingly, this method can be used to improve the design reliability of femoral stems. A simplified finite element model of a femoral stem was considered and analyzed both deterministically and probabilistically using Monte Carlo simulation. The results showed that uncertainties in design parameters can significantly affect the resulting stiffness of the stem. This paper proposes an approach that can be considered a potential solution for improving, in general, the reliability of hip implants and the predicted stiffness values for the femoral stems so as to better mitigate the stress shielding phenomenon
Population-adjusted treatment comparisons:estimates based on MAIC (Matching-Adjusted Indirect Comparisons) and STC (Simulated Treatment Comparisons)
NICE DSU Technical Support Document 18:Methods for population-adjusted indirect comparisons in submissions to NICE
Comparison of a thermopile broadband detector and a photon detector for the measurement of solar radiation
March 1976.Includes bibliographical references (page 45).Part I. Analysis of simutaneous data -- part II. Cosine response functions
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