A Sarcoma at the Site of Previous Extravasation of Adriamycin

We report the case of a 66-year-old man presenting with a high-grade pleomorphic sarcoma at the left elbow 16 years after the extravasation of adriamycin given for a malignant ifbrous histiocytoma of the tibia.We suggest that this sarcoma originated in a multistep way over many years, out of the chronic inflammatory tissue that developed due to a non-specific cellular damage at the nuclear level, interfering with normal cell replication necessary for normal healing tissue healing. As a result, the non-healed chronic inflammatory tissue transformed over several years into a preneoplastic mesenchymal tumour and later into a high-grade pleomorphic sarcoma

Micro-X-Ray Fluorescence and the Old Masters: Non-destructive in situ characterisation of the varnish of historical Low Countries stringed musical instruments

In recent years, a growing attention has been addressed to the study of the varnish from early musical instruments. The surfaces of nine historical Low Countries stringed musical instruments from the collection of the "Musical Instruments Museum” in Brussels were non-destructively analysed by in situ micro-X-Ray Fluorescence spectroscopy in dispersive mode. It was found that the main pigments dispersed in the varnish were iron- and manganese-based earths. The presence of a chromium-based pigment in one of the analysed instruments makes it appreciably different from the others. Other findings were discussed and compared with previously published results. The collection of such information plays a relevant role in the recovery of the applied formulations that is an interesting issue for conservators, luthiers and art historian

Reasoning about Effect Parametricity Using Dependent Types

status: Published onlin

Connected or not? The value of air connectivity for regional development in Europe

Abstract: This paper studies the connectivity of European airports and their impact on regional development, measured by employment. It uses flight schedule data for 207 NUTS-2 regions from 2012 to 2019 in a network analysis. Statistical analysis shows that the degree grew steadily, while the shortest and quickest path connectivity decreased significantly in 2019. Moreover, the panel data analyses indicate that degree consistently positively impacts employment, whereas the significance of the shortest and quickest path\u2019s impact is less consistent, indicating that focusing on increasing a region\u2019s number of distinct edges might be most effective in stimulating regional development

Fast semi-supervised discriminant analysis for binary classification of large data sets

© 2019 Elsevier Ltd High-dimensional data requires scalable algorithms. We propose and analyze four scalable and related algorithms for semi-supervised discriminant analysis (SDA). These methods are based on Krylov subspace methods and therefore exploit data sparsity and the shift-invariance of Krylov subspaces. In addition, centralization was derived for the semi-supervised setting. The proposed methods are evaluated on an industry-scale data set from a pharmaceutical company to predict compound activity on target proteins. The results show that our methods only require a few seconds, significantly improving computation time on the state of the art.status: Published onlin

Comparative study of biomass determinants of 12 poplar (Populus) genotypes in a high-density short-rotation culture

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Time-optimal stepper motor motion profile through a novel load-angle-based step-command optimization

Nowadays, stepper motors are extensively used in positioning applications due to excellent open-loop accuracy and a relatively simple control principle. Every time the controller sends a step-command pulse to the motor, the rotor will move for a known discrete angle. By subsequently counting the number of pulses, the rotor angle is known at all times. Nevertheless, due to the control principle's nature, as a matter of safety, the bulk of stepper motors are often not driven at their full potential to prevent so-called step-losses. Typically, this results in low energy efficiency and an over-dimensioned motor. As a solution, maximizing the motor's load potential through intelligent algorithms contributes to smaller motors and increases efficiency since higher motion speeds are reachable. Until now, in search of optimal motor usage for point-to-point motion profiles, literature mainly focused on finding time-optimal motion profiles using simplified models with a complicated analytical approach rather than developing an easily executable methodology that optimizes at the fundamental control level. Therefore, this paper presents a novel optimization methodology, solely based on the motor's load angle, of which the resulting puls commands' timings can be easily deployed in commercial stepper motor drives. Results show a significant improvement in time-saving of 36,45% compared to a reference 5th-order polynomial point-to-point trajectory

Micro-X-Ray Fluorescence and the Old Masters: Non-destructive in situ characterisation of the varnish of historical Low Countries stringed musical instruments

ISSN:0947-8396ISSN:1432-0630ISSN:0340-379

Een beleidsondersteunend computermodel voor duurzaam bosbeheer gebaseerd op ecofysiologische analyse en simulatie van boomontwikkeling

Eindrapport SimForTree project #060032, IWT-SBOstatus: publishe