3,998 research outputs found
An algorithm for the separation of two-row cuts
peer reviewedWe consider the question of finding deep cuts from a model with two rows of the type PI = {(x,s) ∈ Z2 ×Rn+ : x = f +Rs}. To do that, we show how to reduce the complexity of setting up the polar of conv(PI ) from a quadratic number of integer hull computations to a linear number of integer hull computations. Furthermore, we present an algorithm that avoids computing all integer hulls. A polynomial running time is not guaranteed but computational results show that the algorithm runs quickly in practice
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Joint-Embedding Self Supervised Learning (JE-SSL) has seen a rapid
development, with the emergence of many method variations but only few
principled guidelines that would help practitioners to successfully deploy
them. The main reason for that pitfall comes from JE-SSL's core principle of
not employing any input reconstruction therefore lacking visual cues of
unsuccessful training. Adding non informative loss values to that, it becomes
difficult to deploy SSL on a new dataset for which no labels can help to judge
the quality of the learned representation. In this study, we develop a simple
unsupervised criterion that is indicative of the quality of the learned JE-SSL
representations: their effective rank. Albeit simple and computationally
friendly, this method -- coined RankMe -- allows one to assess the performance
of JE-SSL representations, even on different downstream datasets, without
requiring any labels. A further benefit of RankMe is that it does not have any
training or hyper-parameters to tune. Through thorough empirical experiments
involving hundreds of training episodes, we demonstrate how RankMe can be used
for hyperparameter selection with nearly no reduction in final performance
compared to the current selection method that involve a dataset's labels. We
hope that RankMe will facilitate the deployment of JE-SSL towards domains that
do not have the opportunity to rely on labels for representations' quality
assessment
Direct Measurements and New Mathematical Methods to Estimate the Pond Evaporation of the French Midwest
Despite many scientific papers published around the world on the evaporation of water bodies, few detailed evaporation studies exist for ponds, especially the ponds of humid areas like the French Midwest. Two full years of daily evaporation measurements on two different types of ponds were carried out using a transparent floating evaporation pan. A comparison between a class A evaporation pan and the transparent floating evaporation pan shows that the latter has almost no influence on the water temperature. As a consequence, the measurements taken by this evaporation pan were used to evaluate the reliability of 18 different mathematical methods. These mathematical methods use climate data provided by a weather station installed at the edge of the studied ponds to calculate evaporation. The comparison between measured and calculated evaporation shows that the new empirical formula of Aldomany is the best formula that we can use to estimate the ponds evaporation
Predictive factors of success at the French National Ranking Examination (NRE) : a retrospective study of the student performance from a French medical school
Background
The national ranking examination (NRE) marks the end of the second cycle (6th university year) of French medical studies and ranks students allowing them to choose their specialty and city of residency. We studied the potential predictive factors of success at the 2015 NRE by students attending a French School of Medicine.
Methods
From March 2016 to March 2017, a retrospective study of factors associated with the 2015 NRE success was conducted and enrolled 242 students who attended their sixth year at the school of medicine of Reims. Demographic and academic data collected by a home-made survey was studied using univariate and then multivariate analysis by generalized linear regression with a threshold of p <  0.05 deemed significant.
Results
The factors independently associated with a better ranking at the NRE were the motivation for the preparation of the NRE (gain of 3327 ± 527 places, p <  0.0001); to have participated in the NRE white test organized by la Revue du Praticien in November 2014 (gain of 869 ± 426 places, p <  0.04), to have participated in the NRE white test organized by la conférence Hippocrate in March 2015 (+ 613 places ±297, p <  0.04). The factors independently associated with poor NRE ranking were repeating the first year (loss of 1410 places ±286, p <  0.0001), repeating a year during university course (loss of 1092 places ±385, p <  0.005), attendance of hospital internships in 6th year (loss of 706 places ±298, p <  0.02).
Conclusions
The student motivation and their white tests completion were significantly associated with success at the NRE. Conversely, repeating a university year during their course and attendance of 6th year hospital internships were associated with a lower ranking
Charactérisation à haute fréquence d'un jet balayant
International audienceSweeping jets are an emerging type of actuators that have gained interest due to their potential use in flow control applications. The working principle of these devices is based on the bi-stable attachment of a jet to adjacent walls. They are able to produce unsteady blowing within a wide range of operating frequencies. Nevertheless, the state of art shows a lack of space-time characterization of these actuators for high sweeping frequencies. This paper resents a conditional approach that reconstructs the spatial dynamic response of sweeping jets for sweeping frequencies above 500 Hz. The time-dependent velocity is measured with two single-hot-wire sensors: a reference one placed at the edge of the exit nozzle, and a flying one. The method is then tested to characterize the flow at the exit nozzle of an in-house sweeping jet actuator with 1mm space resolution, and 50 µs time resolution. These measurements are performed with a sweeping frequency of 639 Hz. Overall this paper demonstrates that the conditional approach is very useful for understanding the physics of flow control actuators.Les jets balayants sont des actionneurs fluidiques en pleine extension dans le domaine du contrôle actif des écoulements de par leur large gamme de fréquences et de vitesses. Ils se basent sur le phénomène de bi-stabilité de détachement de l'écoulement sur les parois interne de l'actionneur. Cependant la littérature montre une faiblesse pour la caractérisation expérimentale à haute fréquence de l'écoulement en sortie d'actionneur. Ce papier présente une méthode de reconstruction résolue en espace et en temps, basée sur une approche conditionnelle permettant de reconstruire l'écoulement pour des fréquence de balayage supérieures à 500Hz. Les signaux de vitesse résolus en temps sont mesurés à l'aide de deux fils chauds : un fixe pour le signal de synchronisation et un mobile, se déplaçant sur un maillage de finesse 1mm. Cette méthode est ensuite appliquée à un actionneur de jet balayant fonctionnant a une fréquence de 639Hz, avec un signal de vitesse de résolution temporelle de 50 micro secondes. Ce papier démontre ainsi que l'approche conditionnelle peut être utilisable pour comprendre la physique des écoulements en sortie d'actionneurs fluidiques
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