Applying the MDA Approach to Domain Specific Models

International audienceThe MDA (Model Driven Architecture) approach by the OMG has been evolved as a de-facto-standard for modern modelling tools. MDA uses the UML, which is based on top of programming language concepts. Therefore it is fairly limited when using it in the automotive domain, since the UML offers only limited ways for adapting it to special purposes. A possible solution is to replace the UML with a domain specific modelling language (DSML). This implies also dismissing the existence of UML profiles, since the DSML includes them already. In this article we show an approach to take advantages of the MDA combined with the power of domain specific models. We built a code generator using the Java Server Pages (JSP) technology and are able to transform any domain model into code or other artefacts

Relationship between Age-Dependent Body Constitution and Temporomandibular Joint Sounds in Adolescents

To date, risk factors for temporomandibular joint (TMJ) sounds are still not completely understood, and anatomical factors are suspected to influence their occurrence. This study aimed to evaluate the impact of body constitution on temporomandibular joint sounds of adolescents. 10- to 18-year-old participants of the LIFE Child Study were examined for TMJ sounds, and physical parameters such as body height, body weight, and general laxity of joints were measured. Odds ratios (OR) for associations of TMJ sounds and standard deviation scores (SDS) of body height and body weight were calculated by using binary logistic regression, including cofactors such as age and number of hypermobile joints. The OR for TMJ sounds and SDS of body height was 1.28 (95% confidence interval (CI) 1.06; 1.56) in females when the age-adjusted height value was above 0. SDS of body weight indicated significant ORs for TMJ sounds in males with values of 0.81 (95% CI 0.70; 0.94). No correlation was detected for SDS values and TMJ crepitus. Tall female adolescents seem to be more prone to TMJ clicking sounds, while their occurrence seems less likely in male adolescents with higher body weight

Constraints on the symmetry energy and on neutron skins from the pygmy resonances in 68Ni and 132Sn

Correlations between the behavior of the nuclear symmetry energy, the neutron skins, and the percentage of energy-weighted sum rule (EWSR) exhausted by the Pygmy Dipole Resonance (PDR) in 68Ni and 132Sn have been investigated by using different Random Phase Approximation (RPA) models for the dipole response, based on a representative set of Skyrme effective forces plus meson-exchange effective Lagrangians. A comparison with the experimental data has allowed us to constrain the value of the derivative of the symmetry energy at saturation. The neutron skin radius is deduced under this constraint.Comment: Accepted for publication in PRC Rapid Comminicatio

Harmonization of growth hormone measurements with different immunoassays by data adjustment

Background: The aim of our study was to evaluate the between-assay variability of commercially available immunoassays for the measurement of human growth hormone (hGH). In addition, we asked whether the comparability of the diagnosis of childhood onset growth hormone deficiency could be improved by adjusting hGH results by statistical methods, such as linear regression, conversion factors, and quantile transformation. Methods: In archived sera from 312 children and adolescents (age: 17 days-17 years) hGH values between 0.01 and 16.5 ng/mL were determined by using the following immunoassays: AutoDELFIA (PerkinElmer), BC-IRMA (Beckman-Coulter), ELISA (Mediagnost), IMMULITE 2000 (Siemens), iSYS (IDS), Liaison (DiaSorin), UniCel DxI 800 Access (BeckmanCoulter) and "In house"-RIA (Tubingen). Results: The assays differed in median hGH concentrations by as much as 5.44 ng/mL (Immulite), and as little as 2.67 ng/mL (BC-IRMA). The mean difference between assays ranged from 0.35 to 2.71 ng/mL, whereas several samples displayed differences up to 11.4 ng/mL. The best correlation (r=0.992) was found between AutoDELFIA and Liasion, the lowest (r=0.864) was between an in-house RIA and iSYS. The between-assay CV (mean +/- SD) of values within the cut-off range was 24.3%+/- 7.4%, resulting in an assay-dependent diagnosis of growth hormone deficiency (GHD) in more than 27% of patients. Yet, adjustment of this data by linear regression or a conversion factor reduced the CV below 14%, and the ratio of assay-dependent diagnoses below 8%. Using quantile transformation, the CV and ratio were reduced to 11.4% and < 1%, respectively. Conclusions: hGH measurements using different assays vary significantly. Linear regression, conversion factors, or particularly quantile transformation are useful tools to improve comparability in the diagnostic procedure for the confirmation of GHD in childhood and adolescence

If your data distribution shifts, use self-learning

We demonstrate that self-learning techniques like entropy minimization and pseudo-labeling are simple and effective at improving performance of a deployed computer vision model under systematic domain shifts. We conduct a wide range of large-scale experiments and show consistent improvements irrespective of the model architecture, the pre-training technique or the type of distribution shift. At the same time, self-learning is simple to use in practice because it does not require knowledge or access to the original training data or scheme, is robust to hyperparameter choices, is straight-forward to implement and requires only a few adaptation epochs. This makes self-learning techniques highly attractive for any practitioner who applies machine learning algorithms in the real world. We present state-of-the-art adaptation results on CIFAR10-C (8.5% error), ImageNet-C (22.0% mCE), ImageNet-R (17.4% error) and ImageNet-A (14.8% error), theoretically study the dynamics of self-supervised adaptation methods and propose a new classification dataset (ImageNet-D) which is challenging even with adaptation.Comment: Web: https://domainadaptation.org/selflearnin

Preface

Abstract not availabl

A Classification of BPEL Extensions

The Business Process Execution Language (BPEL) has emerged as de-facto standard for business processes implementation. This language is designed to be extensible for including additional valuable features in a standardized manner. There are a number of BPEL extensions available. They are, however, neither classified nor evaluated with respect to their compliance to the BPEL standard. This article fills this gap by providing a framework for classifying BPEL extensions, a classification of existing extensions, and a guideline for designing BPEL extensions

ifo Konjunkturprognose 2013/2014: Deutsche Konjunkturlokomotive kommt unter Dampf

Am 17. Dezember 2013 stellte das ifo Institut im Rahmen seines vorweihnachtlichen Pressegesprächs seine Prognose für die Jahre 2013 und 2014 vor. Die gesamtwirtschaftliche Produktion in Deutschland wird sich im kommenden Jahr beschleunigen. Darauf deutet das ifo Geschäftsklima hin, das in den vergangenen Monaten eine deutliche Aufwärtstendenz gezeigt hat. Auch bessert sich das weltwirtschaftliche Umfeld. Die binnenwirtschaftlichen Rahmenbedingungen sind ebenfalls günstig. Die Unsicherheit bei den Unternehmen ist gesunken, und für die Anleger bleibt sie bei einer Auslandsanlage hinreichend hoch, um das Interesse an einer vergleichsweise sicheren Investition in Deutschland aufrechtzuerhalten. Die Einkommensperspektiven der privaten Haushalte sind gut. Vor diesem Hintergrund wird die konjunkturelle Expansion voraussichtlich von der Binnenwirtschaft getragen. Im Jahresdurchschnitt 2014 dürfte das reale Bruttoinlandsprodukt, bei einem Unsicherheitsintervall (2/3 Wahrscheinlichkeit) von 0,8% bis 3,0%, daher um 1,9% zunehmen