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Previous research suggests that noise sensitivity is related to inefficient auditory processing that might increase the mental load of noise and affect noise evaluation. This assumption was tested in an experiment using a dual-task paradigm with a visual primary task and an auditory secondary task. Results showed that participants' noise sensitivity was positively correlated with mental effort. Furthermore, mental effort mediated the effect of noise sensitivity on loudness and unpleasantness ratings. The results thus support the idea that noise sensitivity is related to increased mental effort and difficulties in filtering auditory information and that situational factors should be considered.
Urban air pollution has become a pressing challenge in recent times, demanding innovative solutions. This review delves into the potential of Solar Chimney Power Plants (SCPPs) as a sustainable approach to mitigating air pollution. The idea of mitigation of pollution may be an added advantage to the use of SCPPs in practice. Recent advancements, such as the integration of photocatalytic reactors (PCRs) for the elimination of greenhouse gases (GHGs), emphasizing the importance of addressing non-CO2 GHGs like CH4 and N2O are analyzed. The novelty of this review is that it not only focuses on the shifting and removal of particulate matter but also on the removal of greenhouse gases. Numerous case studies, ranging from filter-equipped SCPPs to Solar-Assisted Large-Scale Cleaning Systems (SALSCSs), are reviewed, providing a comprehensive understanding of their design, performance, and potential benefits. This review serves as a guide for researchers and policymakers, emphasizing the need for multifaceted approaches to address the intricate nexus of air pollution, renewable energy generation, and climate change mitigation.
The energy sector faces rapid decarbonisation and decision-makers demand reliable assessments of the security of electricity supply. For this, detailed simulation models with a high temporal and technological resolution are required. When confronted with increasing weather-dependent renewable energy generation, probabilistic simulation models have proven. The significant computational costs of calculating a scenario, however, limit the complexity of further analysis. Advances in code optimization as well as the use of computing clusters still lead to runtimes of up to eight hours per scenario. However ongoing research highlights that tailor-made approximations are potentially the key factor in further reducing computing time. Consequently, current research aims to provide a method for the rapid prediction of widely varying scenarios. In this work artificial neural networks (ANN) are trained and compared to approximate the system behavior of the probabilistic simulation model. To do so, information needs to be sampled from the probabilistic simulation in an efficient way. Because only a limited space in the whole design space of the 16 independent variables is of interest, a classification is developed. Finally it required only around 35 minutes to create the regression models, including sampling the design space, simulating the training data and training the ANNs. The resulting ANNs are able to predict all scenarios within the validity range of the regression model with a coefficient of determination of over 0.9998 for independent test data (1.051.200 data points). They need only a few milliseconds to predict one scenario, enabling in-depth analysis in a brief period of time.
This study aims to optimize the power generation of a conventional Manzanares solar chimney (SC) plant through strategic modifications to the collector inlet height, chimney diameter, and chimney divergence. Employing a finite volume-based solver for numerical analysis, we systematically scrutinize influential geometric parameters, including collector height (hi = 1.85 to 0.1 m), chimney inlet diameter (dch = 10.16 to 55.88 m), and chimney outlet diameter (do = 10.16 to 30.48 m). Our findings demonstrate that reducing the collector inlet height consistently leads to increased power output. The optimal collector inlet height of hi = 0.2 m results in a significant power increase from 51 to 117.42 kW (~ 2.3 times) without additional installation costs, accompanied by an efficiency of 0.25%. Conversely, enlarging the chimney diameter decreases the chimney base velocity and suction pressure. However, as turbine-driven power generation rises, the flow becomes stagnant beyond a chimney diameter of 45.72 m. At this point, power generation reaches 209 kW, nearly four times greater than the Manzanares plant, with an efficiency of 0.44%. Nevertheless, the cost of expanding the chimney diameter is substantial. Furthermore, the impact of chimney divergence is evident, with power generation, collector efficiency, overall efficiency, and collector inlet velocity all peaking at an outer chimney diameter of 15.24 m (corresponding to an area ratio of 2.25). At this configuration, power generation increases to 75.91 kW, approximately 1.5 times more than the initial design. Remarkably, at a low collector inlet height of 0.2 m, combining it with a chimney diameter of 4.5 times the chimney inlet diameter (4.5dch) results in an impressive power output of 635.02 kW, signifying a substantial 12.45-fold increase. To model the performance under these diverse conditions, an artificial neural network (ANN) is effectively utilized.
Die Adoleszenz gilt aufgrund intensiver Veränderungsprozesse nicht nur als vulnerable Phase für Fehlanpassungen, sondern auch als sensible Phase für Interventionen. Neben normativen Herausforderungen hat die COVID-19-Pandemie als nicht normative Krise zu einer erhöhten Belastung in dieser Altersgruppe geführt. In der Bewältigung dieser Herausforderungen gilt die allgemeine Selbstwirksamkeit (SWE) als Schutzfaktor, die im Rahmen der vorgestellten ressourcenorientierten Maßnahme gestärkt werden sollte. Zur Prüfung der Akzeptanz und Wirksamkeit der manualisierten Maßnahme wurde eine Wirksamkeitsstudie mit Prä-Post-Design (t0-t2) durchgeführt und evaluiert. An der Maßnahme haben N=192 Jugendliche (Range: 12 – 17 Jahre) teilgenommen. Es zeigte sich ein kurzfristiger, kleiner Effekt auf die SWE, welcher im Follow-up nicht mehr nachweisbar war. Die differentielle Wirksamkeit der Maßnahme wird vor dem Hintergrund von Faktoren wie der gesundheitsbezogenen Lebensqualität und dem sozioökonomischen Status diskutiert.
YouTube-basierte Geschäftsmodelle von Bewegtbildanbietern. Eine Option für Fernsehproduzenten?
(2015)
Knowledge is our most valuable asset! Due to the increasing fluctuation caused by demographic change, the change in society and the industry, companies are increasingly confronted with knowledge management. Therefore, companies have problems with carrying out projects effectively. There are several models, methods and tools to develop an effective concept for knowledge management. Can the process capability of projects be ensured despite high fluctuation? What appropriate methods and tools are available to manage knowledge? These and more questions are clarified in the course of this work and presented in a conceptual proposal.
Die von Janusz Korczak (eigentlich Henryk Goldszmit) in den Jahren 1926–1939 in Polen herausgebrachte Zeitung Kleine Rundschau von und für Kinder und Jugendliche (poln. Mały Przegląd) war ein wöchentlich erscheinendes Medium, das nicht nur in der damaligen Zeit dazu beitrug, den Stimmen von Kindern Gehör zu verschaffen, ihnen eine Möglichkeit zu geben sich auszudrücken und sich gegenseitig zu verbinden, sondern ist auch heute noch eine bedeutende Ressource, in der die Perspektiven von Kindern der damaligen Zeit sichtbar werden. Die Kinder positionieren sich als kompetente Wissende und als Expertinnen und Experten ihrer Lebenswelt. Themenübergreifend explizieren sie ein Wissen über sozial-konstruierte Ordnungen und eine Differenz entlang sozial-zeitlicher Lebensphasen in Verbindung mit unterschiedlichen Rechten und Pflichten.
Product placement on YouTube: An explorative study on YouTube creators’ experiences with advertisers
(2017)
During its process of diffusion, YouTube has become increasingly attractive for advertisers, not only in terms of classical commercials (like pre-roll ads) but also in terms of product placement opportunities. This article aims to explore the processes between YouTube creators and advertisers concerning product placement enquiries. For this purpose, YouTube creators from Germany ( n = 57) answered an online survey about their experiences with advertisers. The creators covered a wide range of YouTube channel genres (beauty, fashion, comedy, gaming, cooking) and differed in number of subscribers. Some creators who took part in the survey had less than 20,000 subscribers, others had between 20,000 and 500,000 subscribers and still others had more than 500,000 subscribers. How often do YouTube creators use product placement? Is paid-for placement an important source of finance for them? How professional are the relations and processes between YouTube creators and advertisers? Before presenting and discussing the results of the empirical survey of the current use of product placement, a brief history of how YouTube has become a marketing space for advertisers is provided.