Method for a structured identification of suitable safety and securing systems for Level Crossings

Safety and securing systems for level crossing have a long life time. Once a system reaches a life time when it is no longer conform to applicable regulations, it has to be modernized or replaced. The planner of the level crossing system alongside the road and railroad has to adapt the system to various local conditions and rules. He has to choose a suitable system by the use of his individual expert knowledge. The decisions he made are often hard to understand or to trace for the operating company. This paper presents a structured method, which was developed as a basis for the decision making. It helps to trace the decisions of the engineer and even enables the engineer to identify a suitable level crossing system

HyperLoom possibilities for executing scientific workflows on the cloud

We have developed HyperLoom - a platform for defining and executing scientific workflows in large-scale HPC systems. The computational tasks in such workflows often have non-trivial dependency patterns, unknown execution time and unknown sizes of generated outputs. HyperLoom enables to efficiently execute the workflows respecting task requirements and cluster resources agnostically to the shape or size of the workflow. Although HPC infrastructures provide an unbeatable performance, they may be unavailable or too expensive especially for small to medium workloads. Moreover, for some workloads, due to HPCs not very flexible resource allocation policy, the system energy efficiency may not be optimal at some stages of the execution. In contrast, current public cloud providers such as Amazon, Google or Exoscale allow users a comfortable and elastic way of deploying, scaling and disposing a virtualized cluster of almost any size. In this paper, we describe HyperLoom virtualization and evaluate its performance in a virtualized environment using workflows of various shapes and sizes. Finally, we discuss the Hyperloom potential for its expansion to cloud environments.61140639

Is the Sun Lighter than the Earth? Isotopic CO in the Photosphere, Viewed through the Lens of 3D Spectrum Synthesis

We consider the formation of solar infrared (2-6 micron) rovibrational bands of carbon monoxide (CO) in CO5BOLD 3D convection models, with the aim to refine abundances of the heavy isotopes of carbon (13C) and oxygen (18O,17O), to compare with direct capture measurements of solar wind light ions by the Genesis Discovery Mission. We find that previous, mainly 1D, analyses were systematically biased toward lower isotopic ratios (e.g., R23= 12C/13C), suggesting an isotopically "heavy" Sun contrary to accepted fractionation processes thought to have operated in the primitive solar nebula. The new 3D ratios for 13C and 18O are: R23= 91.4 +/- 1.3 (Rsun= 89.2); and R68= 511 +/- 10 (Rsun= 499), where the uncertainties are 1 sigma and "optimistic." We also obtained R67= 2738 +/- 118 (Rsun= 2632), but we caution that the observed 12C17O features are extremely weak. The new solar ratios for the oxygen isotopes fall between the terrestrial values and those reported by Genesis (R68= 530, R6= 2798), although including both within 2 sigma error flags, and go in the direction favoring recent theories for the oxygen isotope composition of Ca-Al inclusions (CAI) in primitive meteorites. While not a major focus of this work, we derive an oxygen abundance of 603 +/- 9 ppm (relative to hydrogen; 8.78 on the logarithmic H= 12 scale). That the Sun likely is lighter than the Earth, isotopically speaking, removes the necessity to invoke exotic fractionation processes during the early construction of the inner solar system

Does Public Education Expansion Lead to Trickle-Down Growth?

The paper revisits the debate on trickle-down growth in view of the widely discussed evolution of the earnings and income distribution that followed a massive expansion of higher education. We propose a dynamic general equilibrium model to dynamically evaluate whether economic growth triggered by an increase in public education expenditure on behalf of those with high learning ability eventually trickles down to low-ability workers and serves them better than redistributive transfers. Our results suggest that, in the shorter run, low-skilled workers lose. They are better off from promoting equally sized redistributive transfers. In the longer run, however, low-skilled workers eventually benefit more from the education policy. Interestingly, although the expansion of education leads to sustained increases in the skill premium, income inequality follows an inverted U-shaped evolution

Arguments for an additional long-lived intermediate in the photocycle of the full-length aureochrome 1c receptor: A time-resolved small-angle X-ray scattering study

Bannister S, Böhm E, Zinn T, Hellweg T, Kottke T. Arguments for an additional long-lived intermediate in the photocycle of the full-length aureochrome 1c receptor: A time-resolved small-angle X-ray scattering study. Structural Dynamics. 2019;6(3): 34701.Aureochromes (AUREO) act as blue-light photoreceptors in algae. They consist of a light-, oxygen-, voltage-sensitive (LOV) domain and a DNA-binding basic region/leucine zipper. Illumination of the flavin cofactor in LOV leads to the formation of an adduct, followed by global structural changes. Here, we first applied UV/vis spectroscopy to characterize the photocycle of full-length aureochrome 1c (PtAUREO1c) from the diatom Phaeodactylum tricornutum. With a time constant of 850 s and a quantum yield of 23%, PtAUREO1c reveals a faster recovery time and a much lower sensitivity toward light than PtAUREO1a, pointing to its role as a high light sensor in vivo. UV/vis spectroscopy offers details on the local recovery of the flavin chromophore. However, kinetic information on the global structural recovery of full-length AUREO or any other multidomain LOV protein is missing. This information is essential not least for the photoreceptors' applications as optogenetic devices. Therefore, we established a procedure to apply small-angle X-ray scattering on PtAUREO1c in a time-resolved manner employing an in-house setup. In combination with UV/vis spectroscopy under similar conditions, we revealed a discrepancy between the recovery of the global protein structure and the adduct lifetime. Accordingly, we propose to supplement the photocycle by an intermediate state (I447), which decays with a time constant of about 800 s and prolongs the lifetime of the signaling state

Investigation of glass corrosion in acid solutions with ²⁹Si-MAS-NMR

Thin foils of potash-lime-silicate glass were corroded in acid solutions for different time periods. The formation of a gel layer was determined by IR spectroscopy and solution analysis. The applicability of ²⁹Si-MAS-NMR spectroscopy as an analytical tool for characterizing gel layers was investigated. The obtained spectra of increasingly corroded foils show the growth of a new peak at the highfield side of the main glass peak. This peak can be attributed to Q4 silicon units. The formation of Q4 silicon is believed to be due to a condensation reaction of previously hydrolyzed Si-OH groups in the gel layer

HyperLoom: A platform for defining and executing scientific pipelines in distributed environments

Real-world scientific applications often encompass end-to-end data processing pipelines composed of a large number of interconnected computational tasks of various granularity. We introduce HyperLoom, an open source platform for defining and executing such pipelines in distributed environments and providing a Python interface for defining tasks. HyperLoom is a self-contained system that does not use an external scheduler for the actual execution of the task. We have successfully employed HyperLoom for executing chemogenomics pipelines used in pharmaceutic industry for novel drug discovery.6

Ultrasonographic Identification of Fibromuscular Bands Associated with Neurogenic Thoracic Outlet Syndrome: The "Wedge-Sickle" Sign.

Thoracic outlet syndrome (TOS) is a disorder characterized by compression of the lower trunk of the brachial plexus, most often in association with anomalous congenital fibromuscular bands in the scalenic region. Early diagnosis is important, because the neurologic deficit associated with TOS may be irreversible. Using high-resolution ultrasound, we investigated 20 consecutive patients with clinical signs suggestive of TOS (all females, average age: 40.4 +/- 14.9 y) and 25 control patients. In 19 patients, we identified a hyper-echoic fibromuscular structure at the medial edge of the middle scalene muscle, which indented the lower trunk of the brachial plexus ("wedge-sickle sign"). It was associated with the significant enlargement (p < 0.0001) and hypo-echogenicity of the lower trunk. This novel and distinctive ultrasonographic sign allows pre-surgical identification of anomalous fibromuscular bands causing TOS. It is especially useful in patients without neurologic deficit, in whom the diagnosis may not be as straightforward

Regulation der Zelladhäsion in Lymphozyten durch Interaktion der cytoplasmatischen Proteine Cytohesin-1 und CYTIP

Adhäsionsvorgänge von Leukozyten spielen eine wichtige Rolle bei den verschiedensten biologischen Prozessen. Die Adhäsionsinteraktionen können Signalkaskaden aktivieren, die Funktionen wie die Zellmigration, Proliferation und Reifung von T-Lymphozyten steuern. Die Zellen des Immunsystems müssen schnell auf körperfremde Eindringlinge reagieren können und Adhäsionsvorgänge zwischen Zellen bzw. zwischen Zellen und der extrazellulären Matrix effektiv regulieren. Um jeden Infektionsherd im Körper zu erreichen, benutzen die Immunzellen die Lymph- und Blutbahnen, können diese Systeme aber verlassen (Diapedese) und durch Gewebe migrieren. Am Infektionsort interagieren die Immunzellen mit infizierten Zellen und starten Vernichtungsprogramme. Weiterhin präsentieren antigenpräsentierende Zellen im Lymphknoten ihre Antigene vorbeiziehenden T-Zellen, die bei korrekter Antigenerkennung zu T-Effektorzellen proliferieren. Bei all diesen regulierten Adhäsionsreaktionen spielen besonders die Integrine eine große Rolle. Von besonderem Interesse ist hierbei das Heterodimer LFA-1 (CD11a/CD18). LFA-1 wird nur auf Leukozyten exprimiert und bindet an die Liganden ICAM-1,-2,-3 der Immunglobulinsuperfamilie. Die kontrollierte Adhäsion bzw. Deadhäsion von Leukozyten bedarf einer spezifischen Regulation des LFA-1-Integrins und die Aufklärung der molekularen Grundlagen dieser Vorgänge ist von großem Interesse. Die LFA-1-vermittelte Zelladhäsion kann über den intrazellulären Guanin-Nukleotid-Austauschfaktor Cytohesin-1 aktiviert werden. Die Aktivierung wird dabei u.a. über Inositid-abhängige Membranrekrutierung von Cytohesin-1 kontrolliert. In dieser Arbeit wurde ein mit Cytohesin-1 interagierendes Protein, CYTIP, identifiziert, welches durch Cytokine in hämatopoetischen Zellen vermehrt exprimiert wird. CYTIP interagiert über seine „coiled-coil“-Proteininteraktionsdomäne direkt mit der N-terminalen „coiled-coil“-Domäne von Cytohesin-1 und inhibiert vollständig die Zelladhäsion auf Integrinliganden. Aufgrund der zwei Proteininteraktionselemente („coiled-coil“-Domäne, PDZ-Domäne) stellt CYTIP ein Adaptermolekül dar, um verschiedene Signalkomponenten in einem Multiproteinkomplex zu koppeln. CYTIP (Cytohesin-1 interacting protein) stellt eine neue Molekülklasse dar, die durch direkte Interaktion mit Cytohesin-1 die LFA-1 vermittelte Zelladhäsion negativ regulieren kann

Remaining Useful Life Prediction for Railway Switch Engines Using Classification Techniques

A highly available infrastructure is a premise for capable railway operation of high quality. Therefore, maintenance is necessary to keep railway infrastructure elements available. Railway switches, especially, are critical because they connect different tracks and allow a train to change its moving direction without stopping. Their inspection, maintenance and repair have long been identified as a cost driver. Switch failures, particularly, are responsible for a comparable high number of failures and delay minutes. The reduction of failures would not only save maintenance costs, but also let more trains arrive on time and hence increase the attractiveness of the railway transport. Therefore, upcoming failures need to be revealed early enough to allow an effective planning and execution of failure preventing maintenance activities. Research is exploring ways to predict the remaining useful life of switches. This paper presents an approach to predict the remaining useful life (RUL) of railway switch engine failures. The development is based on measurement data of the electrical power consumption of switch engines. The two year time series of 29 switches of Deutsche Bahn was recorded by a commercial switch diagnostic system leading to roughly 250 000 measurement tuples. Since earlier researched showed that the electrical data alone is not sufficient enough, additional data is integrated. It takes into account the dependency of the switch condition data from climatic conditions and certain properties of the switch construction type. Predicting a RUL is quite challenging in many PHM applications. To avoid common problems with uncertainty in measurement data, a long prediction horizon (month) of small time units (hours) and to stabilise end user acceptance the approach transforms the RUL prediction problem into a classification problem of multiple classes. It, then, uses two different supervised classification techniques, Artificial Neural Networks (aNN) and Support Vector Machines (SVM), to predict the RUL in the form of classes. However, as known from the no free lunch-theorem of classification, there is no ultimately best performing technique. The success depends on the problem and data structure as well as on the parametrisation of the technique or the selected algorithm respectively. Especially aNN and SVM have a high number of possible parametrisations. They can fail the task or result in a very good performance under the heavy influence of their parametrisation. Hence, it is an important aspect of this paper to share how the different parameters effect the RUL prediction and which parameters result in maximum performance. In order to compare the performance, two metrics are chosen, the Matthews Correlation Coefficient (MCC) as single value metric and a visualisation of the confusion matrix as more comprehensible metric. Finally, deriving those parameters maximising the RUL prediction results enables one of the two classification techniques to reveal upcoming failures of the switch engine early enough to prevent them