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Geochemical characterisation of hypersaline waters is difficult as high concentrations of salts hinder the analysis of constituents at low concentrations, such as trace metals, and the collection of samples for trace metal analysis in natural waters can be easily contaminated. This is particularly the case if samples are collected by non-conventional techniques such as those required for aquatic subglacial environments. In this paper we present the first analysis of a subglacial brine from Taylor Valley, (~ 78°S), Antarctica for the trace metals: Ba, Co, Mo, Rb, Sr, V, and U. Samples were collected englacially using an electrothermal melting probe called the IceMole. This probe uses differential heating of a copper head as well as the probe’s sidewalls and an ice screw at the melting head to move through glacier ice. Detailed blanks, meltwater, and subglacial brine samples were collected to evaluate the impact of the IceMole and the borehole pump, the melting and collection process, filtration, and storage on the geochemistry of the samples collected by this device. Comparisons between melt water profiles through the glacier ice and blank analysis, with published studies on ice geochemistry, suggest the potential for minor contributions of some species Rb, As, Co, Mn, Ni, NH4+, and NO2−+NO3− from the IceMole. The ability to conduct detailed chemical analyses of subglacial fluids collected with melting probes is critical for the future exploration of the hundreds of deep subglacial lakes in Antarctica.
To maximize the travel distances of battery electric vehicles such as cars or buses for a given amount of stored energy, their powertrains are optimized energetically. One key part within optimization models for electric powertrains is the efficiency map of the electric motor. The underlying function is usually highly nonlinear and nonconvex and leads to major challenges within a global optimization process. To enable faster solution times, one possibility is the usage of piecewise linearization techniques to approximate the nonlinear efficiency map with linear constraints. Therefore, we evaluate the influence of different piecewise linearization modeling techniques on the overall solution process and compare the solution time and accuracy for methods with and without explicitly used binary variables.
Inhaltsverzeichnis
1. Die Haftung des GmbH-Geschäftsführers in der Insolvenz - Grundsätze
und Modifikationen infolge der Covid-19 Pandemie
– Franziska Tings 3-61
2. Disquotale Gewinnausschüttung in der Organschaft – Die Neuregelung des
§ 14 Abs. 2 KStG und die Auslegung durch die Finanzverwaltung
– Julian Lehner 62-149
3. Auswirkungen des Mauracher Entwurfs auf die Gesellschaft bürgerlichen
Rechts – Neuerfindung oder bloße Korrektur des
Personengesellschaftsrechts?
– Elena Hoß 150-209
4. Befristung von Arbeitsverhältnissen - Rechtliche Rahmenbedingungen und
arbeitsmarktpolitische Chancen und Risiken
– Franziska Gotzens 210-270
5. Die Rolle der psychischen Gesundheit am Arbeitsplatz Entwicklung
exemplarischer Handlungsempfehlungen für den ganzheitlichen Umgang
mit psychischen Belastungen im Homeoffice
– Marie-Sophie Creutz 271-346
6. Tokenisierung von illiquiden Vermögenswerten – Wie Blockchain die
Immobilienwirtschaft verändern kann
– Nils Christ 347-404
Concentrating Solar Power
(2021)
The focus of this chapter is the production of power and the use of the heat produced from concentrated solar thermal power (CSP) systems.
The chapter starts with the general theoretical principles of concentrating systems including the description of the concentration ratio, the energy and mass balance. The power conversion systems is the main part where solar-only operation and the increase in operational hours.
Solar-only operation include the use of steam turbines, gas turbines, organic Rankine cycles and solar dishes. The operational hours can be increased with hybridization and with storage.
Another important topic is the cogeneration where solar cooling, desalination and of heat usage is described.
Many examples of commercial CSP power plants as well as research facilities from the past as well as current installed and in operation are described in detail.
The chapter closes with economic and environmental aspects and with the future potential of the development of CSP around the world.
Test-retest reliability of the internal shoulder rotator muscles' stretch reflex in healthy men
(2021)
Until now the reproducibility of the short latency stretch reflex of the internal rotator muscles of the glenohumeral joint has not been identified. Twenty-three healthy male participants performed three sets of external shoulder rotation stretches with various pre-activation levels on two different dates of measurement to assess test-retest reliability. All stretches were applied with a dynamometer acceleration of 104°/s2 and a velocity of 150°/s. Electromyographical response was measured via surface EMG. Reflex latencies showed a pre-activation effect (ƞ2 = 0,355). ICC ranged from 0,735 to 0,909 indicating an overall “good” relative reliability. SRD 95% lay between ±7,0 to ±12,3 ms.. The reflex gain showed overall poor test-retest reproducibility. The chosen methodological approach presented a suitable test protocol for shoulder muscles stretch reflex latency evaluation. A proof-of-concept study to validate the presented methodical approach in shoulder involvement including subjects with clinically relevant conditions is recommended.
One central challenge for self-driving cars is a proper path-planning. Once a trajectory has been found, the next challenge is to accurately and safely follow the precalculated path. The model-predictive controller (MPC) is a common approach for the lateral control of autonomous vehicles. The MPC uses a vehicle dynamics model to predict the future states of the vehicle for a given prediction horizon. However, in order to achieve real-time path control, the computational load is usually large, which leads to short prediction horizons. To deal with the computational load, the control algorithm can be parallelized on the graphics processing unit (GPU). In contrast to the widely used stochastic methods, in this paper we propose a deterministic approach based on grid search. Our approach focuses on systematically discovering the search area with different levels of granularity. To achieve this, we split the optimization algorithm into multiple iterations. The best sequence of each iteration is then used as an initial solution to the next iteration. The granularity increases, resulting in smooth and predictable steering angle sequences. We present a novel GPU-based algorithm and show its accuracy and realtime abilities with a number of real-world experiments.
Microbial diversity studies regarding the aquatic communities that experienced or are experiencing environmental problems are essential for the comprehension of the remediation dynamics. In this pilot study, we present data on the phylogenetic and ecological structure of microorganisms from epipelagic water samples collected in the Small Aral Sea (SAS). The raw data were generated by massive parallel sequencing using the shotgun approach. As expected, most of the identified DNA sequences belonged to Terrabacteria and Actinobacteria (40% and 37% of the total reads, respectively). The occurrence of Deinococcus-Thermus, Armatimonadetes, Chloroflexi in the epipelagic SAS waters was less anticipated. Surprising was also the detection of sequences, which are characteristic for strict anaerobes—Ignavibacteria, hydrogen-oxidizing bacteria, and archaeal methanogenic species. We suppose that the observed very broad range of phylogenetic and ecological features displayed by the SAS reads demonstrates a more intensive mixing of water masses originating from diverse ecological niches of the Aral-Syr Darya River basin than presumed before.
Conventional EEG devices cannot be used in everyday life and hence, past decade research has been focused on Ear-EEG for mobile, at-home monitoring for various applications ranging from emotion detection to sleep monitoring. As the area available for electrode contact in the ear is limited, the electrode size and location play a vital role for an Ear-EEG system. In this investigation, we present a quantitative study of ear-electrodes with two electrode sizes at different locations in a wet and dry configuration. Electrode impedance scales inversely with size and ranges from 450 kΩ to 1.29 MΩ for dry and from 22 kΩ to 42 kΩ for wet contact at 10 Hz. For any size, the location in the ear canal with the lowest impedance is ELE (Left Ear Superior), presumably due to increased contact pressure caused by the outer-ear anatomy. The results can be used to optimize signal pickup and SNR for specific applications. We demonstrate this by recording sleep spindles during sleep onset with high quality (5.27 μVrms).
Multi-attribute relation extraction (MARE): simplifying the application of relation extraction
(2021)
Natural language understanding’s relation extraction makes innovative and encouraging novel business concepts possible and facilitates new digitilized decision-making processes. Current approaches allow the extraction of relations with a fixed number of entities as attributes. Extracting relations with an arbitrary amount of attributes requires complex systems and costly relation-trigger annotations to assist these systems. We introduce multi-attribute relation extraction (MARE) as an assumption-less problem formulation with two approaches, facilitating an explicit mapping from business use cases to the data annotations. Avoiding elaborated annotation constraints simplifies the application of relation extraction approaches. The evaluation compares our models to current state-of-the-art event extraction and binary relation extraction methods. Our approaches show improvement compared to these on the extraction of general multi-attribute relations.
We introduce a new way to measure the forecast effort that analysts devote to their earnings forecasts by measuring the analyst's general effort for all covered firms. While the commonly applied effort measure is based on analyst behaviour for one firm, our measure considers analyst behaviour for all covered firms. Our general effort measure captures additional information about analyst effort and thus can identify accurate forecasts. We emphasise the importance of investigating analyst behaviour in a larger context and argue that analysts who generally devote substantial forecast effort are also likely to devote substantial effort to a specific firm, even if this effort might not be captured by a firm-specific measure. Empirical results reveal that analysts who devote higher general forecast effort issue more accurate forecasts. Additional investigations show that analysts' career prospects improve with higher general forecast effort. Our measure improves on existing methods as it has higher explanatory power regarding differences in forecast accuracy than the commonly applied effort measure. Additionally, it can address research questions that cannot be examined with a firm-specific measure. It provides a simple but comprehensive way to identify accurate analysts.
Determinants of earnings forecast error, earnings forecast revision and earnings forecast accuracy
(2012)
Earnings forecasts are ubiquitous in today’s financial markets. They are essential indicators of future firm performance and a starting point for firm valuation. Extremely inaccurate and overoptimistic forecasts during the most recent financial crisis have raised serious doubts regarding the reliability of such forecasts. This thesis therefore investigates new determinants of forecast errors and accuracy. In addition, new determinants of forecast revisions are examined. More specifically, the thesis answers the following questions: 1) How do analyst incentives lead to forecast errors? 2) How do changes in analyst incentives lead to forecast revisions?, and 3) What factors drive differences in forecast accuracy?
Communication via serial bus systems, like CAN, plays an important role for all kinds of embedded electronic and mechatronic systems. To cope up with the requirements for functional safety of safety-critical applications, there is a need to enhance the safety features of the communication systems. One measure to achieve a more robust communication is to add redundant data transmission path to the applications. In general, the communication of real-time embedded systems like automotive applications is tethered, and the redundant data transmission lines are also tethered, increasing the size of the wiring harness and the weight of the system. A radio link is preferred as a redundant transmission line as it uses a complementary transmission medium compared to the wired solution and in addition reduces wiring harness size and weight. Standard wireless links like Wi-Fi or Bluetooth cannot meet the requirements for real-time capability with regard to bus communication. Using the new dual-mode radio enables a redundant transmission line meeting all requirements with regard to real-time capability, robustness and transparency for the data bus. In addition, it provides a complementary transmission medium with regard to commonly used tethered links. A CAN bus system is used to demonstrate the redundant data transfer via tethered and wireless CAN.
Kleidung ist ein Kommunikationsmedium. Im Projekt wird Bekleidung als Informationsträger genutzt, um über die verschiedenen Abschnitte im Zyklus eines Kleidungsstücks sowie die Missstände in der Bekleidungsindustrie zu informieren. Entstanden sind 6 Kleidungsstücke, jeweils eins pro Abschnitt im Zyklus, vom Baumwollanbau über Spinnereien, Produktionsfabriken, dem Einzelhandel und Gebrauch bis zur Entsorgung.
Die einfach gehaltenen Kleidungsstücke besitzen Aufdrucke. Über eine Augmented-Reality-App können die Kleidungsstücke gescannt werden. In Kombination mit der digitalen Ebene werden die Aufdrucke zu Informationsgrafiken. So wird unter anderem über die grausamen Arbeitsumstände in der Produktion informiert oder darüber, dass wir unsere Kleidungsstücke durchschnittlich nur 4x anziehen. Immer geht es darum, den Betrachter dazu anzuregen, seine Konsumentscheidungen zu überdenken.
Temporärer, mobiler Lebensraum: ein Wohnkonzept für Tinyhouses aus alten, ungenutzten Bahnwaggons
(2021)
Das Olympiagelände in München wurde im Jahre 1972 durch die Münchener S-Bahn erreichbar. Nach der Nutzung während der Olympischen Spiele wurde die Strecke weiterhin von der Linie S3angefahren, aber schließlich 1988 stillgelegt und steht seither unter Denkmalschutz. Das umfassende Gelände ist bis heute gut ausgebaut und bietet viel Raum für Freizeitaktivitäten. Nun bietet sich dieser Standort für ein neues Wohnkonzept an. Aus alten, nicht mehr nutzbaren Bahnwaggons entstehen Tinyhouse-Module. Aus dem alten Olympiabahnhof der S3 wird ein neues Viertel für junge Leute, Studenten und alle anderen, die sich vorstellen können in einem Tinyhouse zu wohnen.
Monitoring-System für die Luftrettung: ergonomisches Designkonzept für den medizinischen Anwender
(2021)
Bei einem Luftrettungseinsatz hat die Herstellung der Transportfähigkeit des Patienten Priorität. Im Anschluss erfolgt das Monitoring während des Fluges.
Das Problem dabei ist: Es gibt keine einheitliche Basis zur ergonomischen Nutzung und Datenverwertung der medizinischen Geräte. Kabel, Positionierung und individuelle Displays beeinträchtigen die Anwendenden. Dies kann im schlimmsten Fall die erfolgreiche Patientenbehandlung gefährden und die Übergabe des Patienten verzögern.
Im Konzept wurden die Geräte drahtlos gestaltet. Mittels Knopfdruck am Gerät werden Daten an den Monitor übertragen. Schnell und sicher können EKG, Blutdruck, SPO2 und Temperatur gemessen und Stethoskop, Ultraschall und Videolaryngoskop verwendet werden. Ein Barcode-Scanner dokumentiert Medikamente und verbrauchte Materialien. Im Anschluss wird ein Zielkrankenhaus ausgewählt, die Ankunftszeit angezeigt und Daten protokolliert und übertragen.