Die prozedurale Seite des Rechts auf Rechtfertigung: eine Erwiderung auf ALON HAREL

Unter welchen Bedingungen sollten wir verpflichtet sein, uns der Autorität des Staates zu beugen? Die Frage so zu stellen, heißt schon, den Menschen als Rechtfertigungswesen (Rainer Forst) zu begreifen: Wenn jemand behauptet, Autorität ausüben zu dürfen, dann muss diese Autorität dem gegenüber, der ihr unterworfen ist, rechtfertigbar sein

Is Bigger Always Better? Lessons Learnt from the Evolution of Deep Learning Architectures for Image Classification

There exist numerous scientific contributions to the design of deep learning networks. However, using the right architecture that is suited for a given business problem with all constraints such as memory and inference time requirements can be cumbersome. We reflect on the evolution of the state-of-the-art architectures for convolutional neural networks(CNN) for the case of image classification. We compare architectures regarding classification results, model size, and inference time to discuss the choices of designs for CNN architectures. To maintain scientific comprehensibility, the established ILSVRC benchmark is used as a basis for model selection and benchmark data. The quantitative comparison shows that while the model size and the required inference time correlate with result accuracy across all architectures, there are major trade-offs between those factors. The qualitative analysis further depicts that published models always build on previous research and adopt improved components in either evolutionary or revolutionary ways. Finally, we discuss design and result improvement during the evolution of CNN architectures. Further, we derive practical implications for designing deep learning network

Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting

In various applications, the counting of objects based on image data plays a pivotal role. In this paper we first conducted a literature review to display the state of the art in counting objects and summarized the results by extracting several important concepts that describe the counting problem as well as the solution. In a second step we applied this knowledge to yield prognosis in vineyards, where we used Deep Learning models to detect the objects. While these methods used in the detection step are state of the art and perform very well, several problems are usually introduced by the constraint of only counting an object once in the counting step. We provide a solution for this common problem by identifying unique objects and tracking them throughout a sequence of images in order to avoid counting objects more than once, resulting in an automated yield prognosis model for vineyards

Transcriptome-proteome compendium of the Antarctic krill (Euphausia superba): Metabolic potential and repertoire of hydrolytic enzymes

The Antarctic krill (Euphausia superba Dana) is a keystone species in the Southern Ocean that uses an arsenal of hydrolases for biomacromolecule decomposition to effectively digest its omnivorous diet. The present study builds on a hybrid-assembled transcriptome (13,671 ORFs) combined with comprehensive proteome profiling. The analysis of individual krill compartments allowed detection of significantly more different proteins compared to that of the entire animal (1,464 vs. 294 proteins). The nearby krill sampling stations in the Bransfield Strait (Antarctic Peninsula) yielded rather uniform proteome datasets. Proteins related to energy production and lipid degradation were particularly abundant in the abdomen, agreeing with the high energy demand of muscle tissue. A total of 378 different biomacromolecule hydrolysing enzymes were detected, including 250 proteases, 99 CAZymes, 14 nucleases and 15 lipases. The large repertoire in proteases is in accord with the protein-rich diet affiliated with E. superba’s omnivorous lifestyle and complex biology. The richness in chitin-degrading enzymes allows not only digestion of zooplankton diet, but also the utilization of the discharged exoskeleton after moulting

Unsupervised real-world knowledge extraction via disentangled variational autoencoders for photon diagnostics

We present real-world data processing on measured electron time-of-flight data via neural networks. Specifically, the use of disentangled variational autoencoders on data from a diagnostic instrument for online wavelength monitoring at the free electron laser FLASH in Hamburg. Without a-priori knowledge the network is able to find representations of single-shot FEL spectra, which have a low signal-to-noise ratio. This reveals, in a directly human-interpretable way, crucial information about the photon properties. The central photon energy and the intensity as well as very detector-specific features are identified. The network is also capable of data cleaning, i.e. denoising, as well as the removal of artefacts. In the reconstruction, this allows for identification of signatures with very low intensity which are hardly recognisable in the raw data. In this particular case, the network enhances the quality of the diagnostic analysis at FLASH. However, this unsupervised method also has the potential to improve the analysis of other similar types of spectroscopy data

Damage tolerant design of additively manufactured metallic components subjected to cyclic loading:State of the art and challenges

none21siUndoubtedly, a better understanding and the further development of approaches for damage tolerant component design of AM parts are among the most significant challenges currently facing the use of these new technologies. This article presents a thorough overview of the workshop discussions. It aims to provide a review of the parameters affecting the damage tolerance of parts produced by additive manufacturing (shortly, AM parts) with special emphasis on the process parameters intrinsic to the AM technologies, the resulting defects and the residual stresses. Based on these aspects, basic concepts are reviewed and critically discussed specifically for AM materials: - Criteria for damage tolerant component design; - Criteria for the determination of fatigue and fracture properties; - Strategies for the determination of the fatigue life in dependence of different manufacturing conditions; - Methods for the quantitative characterization of microstructure and defects; - Methods for the determination of residual stresses; - Effect of the defects and the residual stresses on the fatigue life and behaviour. We see that many of the classic concepts need to be expanded in order to fit with the particular microstructure (grain size and shape, crystal texture) and defect distribution (spatial arrangement, size, shape, amount) present in AM (in particular laser powder bed fusion). For instance, 3D characterization of defects becomes essential, since the defect shapes in AM are diverse and impact the fatigue life in a different way than in the case of conventionally produced components. Such new concepts have immediate consequence on the way one should tackle the determination of the fatigue life of AM parts; for instance, since a classification of defects and a quantification of the tolerable shapes and sizes is still missing, a new strategy must be defined, whereby theoretical calculations (e.g. FEM) allow determining the maximum tolerable defect size, and non-destructive testing (NDT) techniques are required to detect whether such defects are indeed present in the component. Such examples show how component design, damage and failure criteria, and characterization (and/or NDT) become for AM parts fully interlinked. We conclude that the homogenization of these fields represents the current challenge for the engineer and the materials scientist.noneZerbst, Uwe; Bruno, Giovanni; Buffiere, Jean-Yves; Wegener, Thomas; Niendorf, Thomas; Wu, Tao; Zhang, Xiang; Kashaev, Nikolai; Meneghetti, Giovanni; Hrabe, Nik; Madia, Mauro; Werner, Tiago; Hilgenberg, Kai; Koukolíková, Martina; Procházka, Radek; Džugan, Jan; Möller, Benjamin; Beretta, Stefano; Evans, Alexander; Wagener, Rainer; Schnabel, KaiZerbst, Uwe; Bruno, Giovanni; Buffiere, Jean-Yves; Wegener, Thomas; Niendorf, Thomas; Wu, Tao; Zhang, Xiang; Kashaev, Nikolai; Meneghetti, Giovanni; Hrabe, Nik; Madia, Mauro; Werner, Tiago; Hilgenberg, Kai; Koukolíková, Martina; Procházka, Radek; Džugan, Jan; Möller, Benjamin; Beretta, Stefano; Evans, Alexander; Wagener, Rainer; Schnabel, Ka

Artificial Extracellular Matrices Containing Bioactive Glass Nanoparticles Promote Osteogenic Differentiation in Human Mesenchymal Stem Cells

The present study analyzes the capacity of collagen (coll)/sulfated glycosaminoglycan (sGAG)-based surface coatings containing bioactive glass nanoparticles (BGN) in promoting the osteogenic differentiation of human mesenchymal stroma cells (hMSC). Physicochemical charac teristics of these coatings and their effects on proliferation and osteogenic differentiation of hMSC were investigated. BGN were stably incorporated into the artificial extracellular matrices (aECM). Oscillatory rheology showed predominantly elastic, gel-like properties of the coatings. The complex viscosity increased depending on the GAG component and was further elevated by adding BGN. BGN-containing aECM showed a release of silicon ions as well as an uptake of calcium ions. hMSC were able to proliferate on coll and coll/sGAG coatings, while cellular growth was delayed on aECM containing BGN. However, a stimulating effect of BGN on ALP activity and calcium deposition was shown. Furthermore, a synergistic effect of sGAG and BGN was found for some donors. Our findings demonstrated the promising potential of aECM and BGN combinations in promoting bone regeneration. Still, future work is required to further optimize the BGN/aECM combination for increasing its combined osteogenic effect

Impact of axial active magnetic bearing stiffness coefficient on resonance frequencies of reaction wheel rotor

Разработана математическая модель системы «ротор - электромагнитные подшипники» для электродвигателя-маховика системы ориентации и стабилизации космического аппарата. Модель учитывает собственные частоты изгибных колебаний ротора и коэффициенты жесткости электромагнитных подшипников. Предложен способ повышения угловой жесткости системы путем применения многополюсного осевого электромагнитного подшипника и рассмотрено влияние его коэффициента жесткости на собственные частоты системы.The paper presents the mathematical model of «rotor - active magnetic bearings» system for reaction wheel used in spacecraft attitude control system. Developed model consider the natural frequencies of rotor bending oscillations and stiffness parameters of electromagnetic bearing. Method of angular stiffness increasing by using multipolar axial magnetic bearing is suggested and the results of impact analysis of multipolar axial magnetic bearing stiffness on resonance frequencies of system is considered

Assessment of the anionic composition of the soil with the influence of eartworms activity

We established by capillary electrophoresis method that earthworms increase the chloride ion content and reduce the content of sulfate, nitrate and phosphate ions in experimental mesocosm soils. With increasing depth, the concentration of all anions decreases

Species-specific and seasonal differences in the resistance of salt-marsh vegetation to wave impact

The coastal protection function provided by the vegetation of tidal wetlands (e.g. salt marshes) will play an important role in defending coastlines against storm surges in the future and depend on how these systems respond to such forcing. Extreme wave events may induce vegetation failure and thereby risking loss of functionality in coastal protection. However, crucial knowledge on how hydrodynamic forces affect salt-marsh vegetation and whether plant properties might influence plant resistance is missing. In a true-to-scale flume experiment, we exposed two salt-marsh species to extreme hydrodynamic conditions and quantified wave-induced changes in plant frontal area, which was used to estimate plant damage. Additionally, some plants were artificially weakened (via drought) as we expected seasonal changes in plant resistance, as the leaves and stems of examined species die off during the winter and their biophysical properties may undergo considerable modifications. Morphological, biomechanical as well as biochemical plant properties were assessed to better explain potential differences in wave-induced plant damage. Our results indicate that the plants were more robust than expected, with pioneer species Spartina anglica showing a higher resistance than the high-marsh species Elymus athericus. Furthermore, wave-induced plant damage mostly occurred in the upper part of the vegetation canopy and thus higher canopies (i.e. Elymus athericus) were more vulnerable to damage. Besides a taller canopy, Elymus athericus had weaker stems than Spartina anglica, suggesting that biomechanical properties (flexural stiffness) also played a role in defining plant resistance. Under the highest wave conditions, we also found seasonal differences in the vulnerability to plant damage but only for Elymus athericus. Although we found higher concentrations of a strengthening compound (biogenic silica) in the plant material of the weakened plants, the flexibility of the plant material was not affected indicating that the drought might not has been applied long enough. Nevertheless, this study yields important implications since we demonstrate a high robustness of the salt-marsh vegetation as well as species-specific and seasonal differences in the vulnerability to plant damage