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In der vorliegenden Masterarbeit wurden Machbarkeit und Vorteile von verschiedenen Aufnahmezeitintervallen, sowie einer quantitativen Analyse von Blutflusswerten für Aktivierungsstudien des auditorischen Systems bei einer kleinen Zahl von CI-Nutzern mit unterschiedlicher Hörperformance/zu erwartender Aktivierung evaluiert. Dafür wurden die PET-Daten sogenannter „good performer“ und „poor performer“ zunächst individuell analysiert. Die Beurteilung der Performance erfolgte über das Sprachverstehen im Störgeräusch (HSM-Satztest), bei dem die Probanden entweder ≥ 70 % oder ≤ 30 % verstehen [13]. Eine Unterscheidung bzw. Auswertung zwischen den Gruppen findet in der vorliegenden Masterarbeit nicht statt. Um den Ergebnissen jedoch eine breitere Gültigkeit zu geben, ist es von Vorteil, ein Spektrum unterschiedlicher CI-Nutzer mit unterschiedlicher Hörperfor-mance zu inkludieren.
Die Analyse des Aufnahmezeitintervalls wurde mittels Statistical Parametric Mapping (SPM) durchgeführt, die Blutflussquantifizierung mittels PMOD Software. Die mit diesen Verfahren individuell ermittelten Werte wurden anschließend weiter statistisch analysiert.
Der vorliegende Essay thematisiert die Herausforderungen von Lernenden und Lehrenden im Umfeld der betrieblichen Bildung, die durch virtuelle Lern- und Trainingsszenarien, insbesondere angetrieben durch die Corona-Pandemie, entstanden sind. Der Blick richtet sich dabei u.a. auf die Fragen, wieso Trainer:innen das Präsenztraining bevorzugen und wieso virtuelle Seminar- oder Trainingsteilnahmen am Arbeitsplatz oft mit Hindernissen verbunden sind. Letztlich geht es auch um die teilweise untrennbare Verbindung von Orten und bestimmten Aktivitäten und die Idee, dass der virtuelle Raum bereits im antiken Griechenland ein Thema war. Dabei wird auch in Betracht gezogen, dass die Verbindung von Orten und Tätigkeiten auch das Rollenempfinden von, in diesem Falle internen Trainer:innen, beeinflusst.
Many real-world optimization and decision-making problems comprise several, partly conflicting objective functions. The English saying “Quality has its price” is just as true on a large scale as it is in private sphere and, therefore, quality and price are a typical pair of conflicting objective functions that are very common in applications. Yet, in industrial applications, both quality and cost may be understood in the specific context and differ whether a transportation, a production, or a planning problem is considered. Other objective functions that are receiving increasing attention in real-world decision-making situations are, for example, robustness, time, sustainability, adaptability, or longevity.
The electrochemical process of microbial electrosynthesis (MES) is used to drive the metabolism of electroactive microorganisms for the production of valuable chemicals and fuels. MES combines the advantages of electrochemistry, engineering, and microbiology and offers alternative production processes based on renewable raw materials and regenerative energies. In addition to the reactor concept and electrode design, the biocatalysts used have a significant influence on the performance of MES. Thus, pure and mixed cultures can be used as biocatalysts. By using mixed cultures, interactions between organisms, such as the direct interspecies electron transfer (DIET) or syntrophic interactions, influence the performance in terms of productivity and the product range of MES. This review focuses on the comparison of pure and mixed cultures in microbial electrosynthesis. The performance indicators, such as productivities and coulombic efficiencies (CEs), for both procedural methods are discussed. Typical products in MES are methane and acetate, therefore these processes are the focus of this review. In general, most studies used mixed cultures as biocatalyst, as more advanced performance of mixed cultures has been seen for both products. When comparing pure and mixed cultures in equivalent experimental setups a 3-fold higher methane and a nearly 2-fold higher acetate production rate can be achieved in mixed cultures. However, studies of pure culture MES for methane production have shown some improvement through reactor optimization and operational mode reaching similar performance indicators as mixed culture MES. Overall, the review gives an overview of the advantages and disadvantages of using pure or mixed cultures in MES.
In this paper, we devise a stochastic asset–liability management (ALM) model for a life insurance company and analyze its influence on the balance sheet within a low-interest rate environment. In particular, a flexible procedure for the generation of insurers’ compressed contract portfolios that respects the given biometric structure is presented, extending the existing literature on stochastic ALM modeling. The introduced balance sheet model is in line with the principles of double-entry bookkeeping as required in accounting. We further focus on the incorporation of new business, i.e. the addition of newly concluded contracts and thus of insured in each period. Efficient simulations are obtained by integrating new policies into existing cohorts according to contract-related criteria. We provide new results on the consistency of the balance sheet equations. In extensive simulation studies for different scenarios regarding the business form of today’s life insurers, we utilize these to analyze the long-term behavior and the stability of the components of the balance sheet for different asset–liability approaches. Finally, we investigate the robustness of two prominent investment strategies against crashes in the capital markets, which lead to extreme liquidity shocks and thus threaten the insurer’s financial health.
Lattice Boltzmann method for antiplane shear deformation: non-lattice-conforming boundary conditions
(2022)
In this work, two different approaches to treat boundary conditions in a lattice Boltzmann method (LBM) for the wave equation are presented. We interpret the wave equation as the governing equation of the displacement field of a solid under simplified deformation assumptions, but the algorithms are not limited to this interpretation. A feature of both algorithms is that the boundary does not need to conform with the discretization, i.e., the regular lattice. This allows for a larger flexibility regarding the geometries that can be handled by the LBM. The first algorithm aims at determining the missing distribution functions at boundary lattice points in such a way that a desired macroscopic boundary condition is fulfilled. The second algorithm is only available for Neumann-type boundary conditions and considers a balance of momentum for control volumes on the mesoscopic scale, i.e., at the scale of the lattice spacing. Numerical examples demonstrate that the new algorithms indeed improve the accuracy of the LBM compared to previous results and that they are able to model boundary conditions for complex geometries that do not conform with the lattice.
Irrelevant speech impairs serial recall of verbal but not spatial items in children and adults
(2022)
Immediate serial recall of visually presented items is reliably impaired by task-irrelevant speech that the participants are instructed to ignore (“irrelevant speech effect,” ISE). The ISE is stronger with changing speech tokens (words or syllables) when compared to repetitions of single tokens (“changing-state effect,” CSE). These phenomena have been attributed to sound-induced diversions of attention away from the focal task (attention capture account), or to specific interference of obligatory, involuntary sound processing with either the integrity of phonological traces in a phonological short-term store (phonological loop account), or the efficiency of a domain-general rehearsal process employed for serial order retention (changing-state account). Aiming to further explore the role of attention, phonological coding, and serial order retention in the ISE, we analyzed the effects of steady-state and changing-state speech on serial order reconstruction of visually presented verbal and spatial items in children (n = 81) and adults (n = 80). In the verbal task, both age groups performed worse with changing-state speech (sequences of different syllables) when compared with steady-state speech (one syllable repeated) and silence. Children were more impaired than adults by both speech sounds. In the spatial task, no disruptive effect of irrelevant speech was found in either group. These results indicate that irrelevant speech evokes similarity-based interference, and thus pose difficulties for the attention-capture and the changing-state account of the ISE.
Cold plasma is a partially ionized state of matter that unites high reactivity and mild conditions. Therefore, cold plasma reactors are intriguing for reaction engineering. In this work, a laboratory scale dielectric barrier discharge (DBD) cold plasma reactor was designed, set up, and used for studying the influence of the specific energy input (SEI) on the product spectrum of the partial oxidation of methane. In total, 23 experiments were carried out near ambient conditions with a molar reactant ratio of methane to oxygen of 2:1 at SEI between 0.3 and 6.0 J cm−3. The feed also contained argon at a mole fraction of 0.75 mol mol−1. The product stream was split into a fraction that was condensed in a cold trap and the remaining gaseous fraction. The latter was analyzed at-line in a gas chromatograph equipped with a dual column and two carrier gases. The condensed fraction was analyzed by qualitative and quantitative 1H and 13C NMR spectroscopy, Karl Fischer titration, and sodium sulfite titration. In the product stream, 16 components were identified and quantified: acetic acid, acetone, carbon dioxide, carbon monoxide, ethanol, ethane, ethene, ethylene glycol, formaldehyde, formic acid, hydrogen, methanol, methyl acetate, methyl hydroperoxide, methyl formate, and water. A univariant influence of the SEI on the conversions of methane and oxygen and the selectivities to the products was observed. The experimental results provided here are an asset for developing reaction kinetic models of the partial oxidation of methane in DBD plasma reactors.
Interview with Frank Petry on “Digital Entrepreneurship: Opportunities, Challenges, and Impacts”
(2022)
Frank Petry is a primal rock of Germany's startup scene. He is a serial founder, serial investor (e.g., Ticketmaster, Expedia, Lending Tree, Web.de, ESCOM), partner and member of the Advisory Board at Blue Lake VC, as well as a partner, mentor and advisory board member at the Baltic Sandbox Accelerator. Additionally, he is the CEO of PECON (Consulting) and Thundermountain (VC, Accelerator, Corporate innovation).
Microbiologically induced calcium carbonate precipitation (MICP) is a technique that has received a lot of attention in the field of geotechnology in the last decade. It has the potential to provide a sustainable and ecological alternative to conventional consolidation of minerals, for example by the use of cement. From a variety of microbiological metabolic pathways that can induce calcium carbonate (CaCO3) precipitation, ureolysis has been established as the most commonly used method. To better understand the mechanisms of MICP and to develop new processes and optimize existing ones based on this understanding, ureolytic MICP is the subject of intensive research. The interplay of biological and civil engineering aspects shows how interdisciplinary research needs to be to advance the potential of this technology. This paper describes and critically discusses, based on current literature, the key influencing factors involved in the cementation of sand by ureolytic MICP. Due to the complexity of MICP, these factors often influence each other, making it essential for researchers from all disciplines to be aware of these factors and its interactions. Furthermore, this paper discusses the opportunities and challenges for future research in this area to provide impetus for studies that can further advance the understanding of MICP.