How do patients with end-stage ankle arthritis decide between two surgical treatments?:A qualitative study

To examine how patients decide between ankle fusion and ankle replacement in end-stage ankle arthritis

Rechtliche Evaluierung des Behindertengleichstellungsrechts

Im Rahmen einer Evaluierung des im Jahr 2005 beschlossenen österreichischen Behindertengleichstellungspaketes wurden Vorschläge und Empfehlungen für folgende Fragestellungen der Behindertengleichstellungspolitik zusammengetragen: • Welche zusätzlichen Rechtsinstrumente sind sinnvoll, um die Behindertengleichstellung weiter zu entwickeln? • Wie kann der Zugang zum Behindertengleichstellungsrecht erleichtert werden? • Wie kann man bei privaten Versicherungen und Finanzdienstleistungen etwaige Benachteiligungen wegen einer Behinderung verhindern und der Rechtsschutz verbessert werden? • Wie kann das Instrument der Verbandsklage effizienter gestaltet werden? • Ist eine Adaptierung des Schlichtungsverfahrens erforderlich? Sind beim Schlichtungsverfahren Sanktionen möglich und sinnvoll? • Wie ist das Verhältnis der Diskriminierungsverbote im BGStG und BEinstG zum Gebot der „angemessenen Vorkehrungen“ für ArbeitgeberInnen in § 6 Abs 1a BEinstG? • Wie kann die Einrichtung der Behindertenanwaltschaft verbessert werden? Soll der Behindertenanwalt/die Behindertenanwältin zusätzliche Befugnisse bekommen? • Sollten für den Behindertenanwalt/die Behindertenanwältin Regelungen getroffen werden über die Bestellung, die Bezahlung sowie über seine Vertretung im Fall vorübergehender Verhinderung

A Neural Network Subgrid Model of the Early Stages of Planet Formation

Planet formation is a multi-scale process in which the coagulation of $\mathrm{\mu m}$-sized dust grains in protoplanetary disks is strongly influenced by the hydrodynamic processes on scales of astronomical units ($\approx 1.5\times 10^8 \,\mathrm{km}$). Studies are therefore dependent on subgrid models to emulate the micro physics of dust coagulation on top of a large scale hydrodynamic simulation. Numerical simulations which include the relevant physical effects are complex and computationally expensive. Here, we present a fast and accurate learned effective model for dust coagulation, trained on data from high resolution numerical coagulation simulations. Our model captures details of the dust coagulation process that were so far not tractable with other dust coagulation prescriptions with similar computational efficiency.Comment: 6 pages, 4 figures, accepted at the Machine Learning and the Physical Sciences workshop, NeurIPS 202

Overview of the Nordic Seas CARINA data and salinity measurements

Water column data of carbon and carbon relevant hydrographic and hydrochemical parameters from 188 previously non-publicly available cruises in the Arctic, Atlantic, and Southern Ocean have been retrieved and merged into a new database: CARINA (CARbon IN the Atlantic). The data have been subject to rigorous quality control (QC) in order to ensure highest possible quality and consistency. The data for most of the parameters included were examined in order to quantify systematic biases in the reported values, i.e. secondary quality control. Significant biases have been corrected for in the data products, i.e. the three merged files with measured, calculated and interpolated values for each of the three CARINA regions; the Arctic Mediterranean Seas (AMS), the Atlantic (ATL) and the Southern Ocean (SO). With the adjustments the CARINA database is consistent both internally as well as with GLODAP (Key et al., 2004) and is suitable for accurate assessments of, for example, oceanic carbon inventories and uptake rates and for model validation. The Arctic Mediterranean Seas include the Arctic Ocean and the Nordic Seas, and the quality control was carried out separately in these two areas. This contribution provides an overview of the CARINA data from the Nordic Seas and summarises the findings of the QC of the salinity data. One cruise had salinity data that were of questionable quality, and these have been removed from the data product. An evaluation of the consistency of the quality controlled salinity data suggests that they are consistent to at least ±0.005

Exploring 3d gesture metaphors for interaction with unmanned aerial vehicles

We present a study exploring upper body 3D spatial interaction metaphors for control and communication with Unmanned Aerial Vehicles (UAV) such as the Parrot AR Drone. We discuss the design and implementation of five interaction techniques using the Microsoft Kinect, based on metaphors inspired by UAVs, to support a variety of flying operations a UAV can perform. Techniques include a first-person interaction metaphor where a user takes a pose like a winged aircraft, a game controller metaphor, where a user\u27s hands mimic the control movements of console joysticks, proxy manipulation, where the user imagines manipulating the UAV as if it were in their grasp, and a pointing metaphor in which the user assumes the identity of a monarch and commands the UAV as such. We examine qualitative metrics such as perceived intuition, usability and satisfaction, among others. Our results indicate that novice users appreciate certain 3D spatial techniques over the smartphone application bundled with the AR Drone. We also discuss the trade-offs in the technique design metrics based on results from our study. Copyright © 2013 ACM

Research Notes : United States : Superoxide dismutase (SOD) in soybean

We are using vertical polyacrylamide gel electrophoresis (Davis, 1964) and a staining system modified after Beauchamp and Fridovich (1971) to study superoxide dismutase polymorphisms in the subgenus soja. This staining system generates superoxide radical; hence, it is specific for SOD activity. We re-solve up to 9 SOD bands in dry or germinating soybean cotyledons, and in leaves