Environmental Issues and application of corresponding Models in the context of Total Airport Management

Beschreibung der Kernaspekte von Total Airport Management, warum es benötigt wird und wie die konzeptuellen Bausteine sind. Daran angegliedert die Skizze, wie umweltspezifische Aspekte (Emmissionen) den in einem TAM APOC arbeitenden Stakeholder-Agenten entsprechende Informationen zur Umweltauswirkung des Flughafenverkehrs unter der gegebenen Planungsrandbedingung collaborativen Entscheidung

Application of Environmental Models in the Context of Total Airport Management Collaborative Planning

During the last years the problem of global warming and the effects on mankind has come more and more to the public awareness. The result is that the number of environmental protection programs has been increased as well as the funding for research projects in this area. But in the field of aviation, the development of environmental concepts has not been a main focus in the past. The Total Airport Management initiative is developed to become a future concept for airport management. As a future concept TAM needs to focus on the various disciplines, like operational improvements. One of those is the application of environmental models and the function of being environmental friendly. The intention of this paper is to show the ability to implement environmental planning within TAM, as well as applied models for such a concept. The conclusion is that future work has to be conducted to this topic to produce a better understanding of the environmental effects due to aviation and how these effects could be minimized and taken into consideration with regard to Airport Operations

A2TEA: Identifying trait-specific evolutionary adaptations [version 2; peer review: 2 approved]

Background: Plants differ in their ability to cope with external stresses (e.g., drought tolerance). Genome duplications are an important mechanism to enable plant adaptation. This leads to characteristic footprints in the genome, such as protein family expansion. We explore genetic diversity and uncover evolutionary adaptation to stresses by exploiting genome comparisons between stress tolerant and sensitive species and RNA-Seq data sets from stress experiments. Expanded gene families that are stress-responsive based on differential expression analysis could hint at species or clade-specific adaptation, making these gene families exciting candidates for follow-up tolerance studies and crop improvement. Software: Integration of such cross-species omics data is a challenging task, requiring various steps of transformation and filtering. Ultimately, visualization is crucial for quality control and interpretation. To address this, we developed A2TEA: Automated Assessment of Trait-specific Evolutionary Adaptations, a Snakemake workflow for detecting adaptation footprints in silico. It functions as a one-stop processing pipeline, integrating protein family, phylogeny, expression, and protein function analyses. The pipeline is accompanied by an R Shiny web application that allows exploring, highlighting, and exporting the results interactively. This allows the user to formulate hypotheses regarding the genomic adaptations of one or a subset of the investigated species to a given stress. Conclusions: While our research focus is on crops, the pipeline is entirely independent of the underlying species and can be used with any set of species. We demonstrate pipeline efficiency on real-world datasets and discuss the implementation and limits of our analysis workflow as well as planned extensions to its current state. The A2TEA workflow and web application are publicly available at: https://github.com/tgstoecker/A2TEA.Workflow and https://github.com/tgstoecker/A2TEA.WebApp, respectively

the-rocci-project/rOCCI-core: v5.0.3

2017-10-19 Added missing support for legacy context mixin

Spectral CT in patients with acute thoracoabdominal bleeding-a safe technique to improve diagnostic confidence and reduce dose?

Computed tomography (CT) protocols for the detection of bleeding sources often include unenhanced CT series to distinguish contrast agent extravasation from calcification. This study evaluates whether virtual non-contrast images (VNC) can safely replace real non-contrast images (RNC) in the search for acute thoracoabdominal bleeding and whether monoenergetic imaging can improve the detection of the bleeding source.The 32 patients with active bleeding in spectral CT angiography (SCT) were retrospectively analyzed. RNC and SCT series were acquired including VNC and monoenergetic images at 40, 70, and 140 keV. CT numbers were measured in regions of interest (ROIs) in different organs and in the bleeding jet for quantitative image analysis (contrast-to-noise ratios [CNR] and signal-to-noise ratio [SNR]). Additionally, 2 radiologists rated detectability of the bleeding source in the different CT series. Wilcoxon rank test for related samples was used.VNC series suppressed iodine sufficiently but not completely (CT number of aorta: RNC: 33.3±12.3, VNC: 44.8 ± 9.5, P = .01; bleeding jet: RNC: 43.1 ± 16.9, VNC: 56.3 ± 16.7, P = .02). VNC showed significantly higher signal-to-noise ratios than RNC for all regions investigated. Contrast-to-noise ratios in the bleeding jet were significantly higher in 40 keV images than in standard 140 keV images. The 40 keV images were also assigned the best subjective ratings for bleeding source detection.VNC can safely replace RNC in a CT protocol used to search for bleeding sources, thereby reducing radiation exposure by 30%. Low-keV series may enhance diagnostic confidence in the detection of bleeding sources

rOCCI-server: Abnormal Andesite v8

UPDATE release, 1.1.x series Minor update for the 1.1.x series, version 1.1.8. See Release Notes and Changelog for details [1]. [1] https://appdb.egi.eu/store/software/rocci.server/releases/1.1.x/v1.1.8-1