10,212 research outputs found
Method and apparatus of simulating zero gravity conditions Patent
Development of apparatus for simulating zero gravity condition
And most of us go Pro in something other than Sports - Hiring Preferences and their Effect on the Labor Market for Collegiate Football Players
This paper analyzes the labor market for collegiate football players and argues that professional football teams have discriminating preferences when making their hiring decisions. An empirical analysis of panel data of 32 NFL teams in recent seasons is carried out to test the effects of such preferences on the performance of teams. The results provide strong evidence that certain criteria, which do have a high influence on a player’s chances to start a career in Professional Football, have actually little influence on team-efficiency whatsoever. Consequently, this implies that discrimination in the form of hiring preferences create a sub-optimal result in terms of building a team, as well as for the overall labor market in Professional Football.Labor market in sports, discrimination in hiring, production efficiency, stochastic production frontier
Approval-Based Shortlisting
Shortlisting is the task of reducing a long list of alternatives to a
(smaller) set of best or most suitable alternatives from which a final winner
will be chosen. Shortlisting is often used in the nomination process of awards
or in recommender systems to display featured objects. In this paper, we
analyze shortlisting methods that are based on approval data, a common type of
preferences. Furthermore, we assume that the size of the shortlist, i.e., the
number of best or most suitable alternatives, is not fixed but determined by
the shortlisting method. We axiomatically analyze established and new
shortlisting methods and complement this analysis with an experimental
evaluation based on biased voters and noisy quality estimates. Our results lead
to recommendations which shortlisting methods to use, depending on the desired
properties
Potential Errors and Test Assessment in Software Product Line Engineering
Software product lines (SPL) are a method for the development of variant-rich
software systems. Compared to non-variable systems, testing SPLs is extensive
due to an increasingly amount of possible products. Different approaches exist
for testing SPLs, but there is less research for assessing the quality of these
tests by means of error detection capability. Such test assessment is based on
error injection into correct version of the system under test. However to our
knowledge, potential errors in SPL engineering have never been systematically
identified before. This article presents an overview over existing paradigms
for specifying software product lines and the errors that can occur during the
respective specification processes. For assessment of test quality, we leverage
mutation testing techniques to SPL engineering and implement the identified
errors as mutation operators. This allows us to run existing tests against
defective products for the purpose of test assessment. From the results, we
draw conclusions about the error-proneness of the surveyed SPL design paradigms
and how quality of SPL tests can be improved.Comment: In Proceedings MBT 2015, arXiv:1504.0192
A stochastic framework for multiscale strength prediction using adaptive discontinuity layout optimisation (ADLO)
The prediction of strength properties of matrix-inclusion materials, which in general are random in nature due to their spatial distribution and variation of pores, particles, and matrix-inclusion interfaces, plays an important role with regard to the reliability of materials and structures. The recently developed discontinuity layout optimisation (DLO) [18] and adaptive discontinuity layout optimisation (ADLO) [4], which can be used for determination of strength properties of materials [3, 4] and structures [9], are included in a stochastic framework, using random variables. Therefore different material properties, influencing the overall strength of the matrix-inclusion material (e.g. matrix and inclusion strength, number and distribution of pores/particles) in a considered RVE are assumed to follow certain probability distributions [12]. A sensitivity study for the identification of material parameters showing the largest influence on the strength of the considered matrix-inclusion materials is performed. The obtained results provide first insight into the nature of the reliability of strength properties of matrix-inclusion materials, paving the way to a better understanding and finally improvement of the effective strength properties of matrix-inclusion materials
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