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An interactive virtual studio is used for live broadcasts with live interaction in front of the recording system. Advances in Augmented Reality (AR) using video see-through Head-Mounted Displays (HMDs) also make it possible to improve the production process itself. Lighting can be improved and adjusted using AR while seeing live effects. An Augmented Reality Lighting Adjustment System (ARLAS) for a virtual studio has been developed and evaluated. The traditional process for controlling lighting in a virtual studio is complicated and time-consuming. It often requires several people to control many different components at different locations. Using AR, this process is simplified by integrating relevant programs and video streams into a single application on an HMD, allowing direct control at lighting locations. Changes to settings are immediately visible on the real fixtures. Real lights can be replicated virtually to maintain consistent lighting conditions in virtual scenes, ensuring that virtual objects are lit as they would be in a real studio. The prototype demonstrated the benefits of AR for complex virtual studio setups and was evaluated by 18 participants.
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.
The importance of high data quality is increasing with the growing impact and distribution of ML systems and big data. Also, the planned AI Act from the European commission defines challenging legal requirements for data quality especially for the market introduction of safety relevant ML systems. In this paper, we introduce a novel approach that supports the data quality assurance process of multiple data quality aspects. This approach enables the verification of quantitative data quality requirements. The concept and benefits are introduced and explained on small example data sets. How the method is applied is demonstrated on the well-known MNIST data set based an handwritten digits.
With the increasing capabilities of machine learning systems and their potential use in safety-critical systems, ensuring high-quality data is becoming increasingly important. In this paper, we present a novel approach for the assurance of data quality. For this purpose, the mathematical basics are first discussed and the approach is presented using multiple examples. This results in the detection of data points with potentially harmful properties for the use in safety-critical systems.
Menschen mit Suchtverhalten, die Bürgergeld nach dem Sozialgesetzbuch II beziehen, zu ihren Wünschen an für sie hilfreiche Unterstützungsangebote zu befragen und aus ihren Schilderungen herauszuarbeiten, welche Bedeutung für sie Erwerbarbeit hat, fordert die Forschenden zu kritischen Selbstvergewisserungen heraus.Denn die qualitative Studie, die im Rahmen eines Modellprojekts, gefördert vom Bundesarbeitsministerium, durchgeführt wurde, berührt vier kritische Fachdebatten in der Sozialen Arbeit. Neben der (1) sozialpolitischen Aktivierungsprogrammatik sind hier v. a. die (2) Bezeichnung von Menschen mit Suchtverhalten sowie (3) methodologische Einwände gegen subjektorientierte Forschungsperspektiven und (4) Case Management bedeutsam. Nach der Positionierung in diesen Fachdebatten werden empirische Einblicke dazu gewährt, dass die Frage „Problembewältigung oder Erwerbsarbeit first?“ differenziert beantwortet wird.Ferner äußern die Bürgergeldbezieher:innen mit Suchtverhalten diverse Wünsche an die Unterstützung im Jobcenter und andere Hilfsangebote. Vor allem wünschen sie sich vom Jobcenter, dass es dort nicht nur um die Vermittlung in Erwerbsarbeit gehen sollte, sondern weitere und damit hybride Zielsetzungen verfolgt werden sollten.
Sowohl die offene als auch die verbandliche Kinder- und Jugendarbeit engagieren sich bereits seit rund 20 Jahren als Kooperationspartner von Ganztagsgrundschulen. Trotzdem scheint ihr Verhältnis zur Schule bis heute nicht grundsätzlich geklärt, was unter anderem daran ersichtlich wird, dass sich die Zusammenarbeit gleichzeitig in einer Annäherung an Schule und in einer Abgrenzung von ihr vollzieht. Angesichts dieses ambivalenten Verhältnisses und angesichts der Einführung des Rechtsanspruchs auf einen Ganztagsschulplatz ab dem Schuljahr 2026/2027 sowie dem dadurch steigenden Bedarf der Grundschulen an Kooperationspartnern, stellt sich (erneut) die Frage, inwieweit sich die Kinder- und Jugendarbeit im Ganztag einbringen sollte.
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.
In den Möglichkeiten der Anschlusskommunikation online liegt ein hohes Demokratisierungspotential der Gesellschaft. Durch die Beteiligung möglichst vieler Bürger am politischen Diskurs kann ein neuer inklusiver und vielstimmiger Kommunikationsraum geschaffen werden, in dem die pluralen, vielschichtigen Stimmen der Gesellschaft über die persönlichen Kommunikationsnetzwerke der Einzelnen hinaus in den Austausch treten und so Koorientierung ermöglicht wird. Doch in der Forschung gibt es unterschiedliche Deutungen, ob und inwieweit diese Potenziale eingelöst werden. Der vorliegende Beitrag analysiert basierend auf einer Onlinebefragung die Teilhabe an verschiedenen Formen der Anschlusskommunikation aus einer Milieuperspektive. Die Befunde zeigen, dass die Muster der Anschlusskommunikation sich mit den Ergebnissen der sonstigen Kommunikationspraktiken in den politisch-kommunikativen Milieus decken. Ein politisch selbstbewusstes, engagiertes und informiertes Milieu nutzt besonders die proaktiven Möglichkeiten der Anschlusskommunikation, um Meinungen zu debattieren und auszutauschen. Ein sich in der kommunikativen Teilhabe zurückhaltendes Milieu partizipiert in ebenso geringem Maße an der Anschlusskommunikation und koppelt sich so von einem integrierten Kommunikationsraum ab. Sich abschottende Milieus legen einen starken Fokus auf reaktive Formen der Anschlusskommunikation, die zur permanenten Affirmation eigener Ansichten genutzt werden. Diese unterschiedliche Nutzung trägt dazu bei, dass gesellschaftliche Spaltungstendenzen eher bestärkt statt reduziert werden.
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.
Counterpublics provide space for marginalised groups to voice opinions and experiences neglected by hegemonic discourse. This paper highlights publics that present themselves as counterpublics but which in actual fact reinforce existing hierarchies, particularly patriarchal structures. The case study of Girl Defined Ministries, a fundamentalist evangelical influencer duo based in Texas, links the research fields of digital religion and anti-feminist defensive publics, revealing parts of anti-feminism online that have hitherto been the reserve of digital religion studies. A consideration of the national history and religious developments of recent decades in the United States allows for a deeper understanding of this type of religious influencer. Girl Defined post content about their concept of “Biblical womanhood” on multiple platforms. In the present study, 56 blog articles by Girl Defined were analysed using qualitative content analysis through the analytical lens of the Social Identity model of Deindividuation Effects (SIDE), which reflects on how group identity is formed by simultaneously enhancing in-group and devaluing out-group norms. The findings demonstrate that Girl Defined portray the out-group, feminism, as an anti-God ideology responsible for the collective misery of women in Western societies, and hold women responsible for their own discontent by choosing the wrong path. Girl Defined therefore promote their in-group values, gender roles for women defined by God, and submission to men as the only way to live a joyful life. Presenting themselves as a persecuted and ostracised counterpublic to a feminist mainstream is central to Girl Defined’s argument. The paper adds to the existing literature on women anti-feminist and religious influencers as a development of mediatization.
Mass spectral libraries have proven to be essential for mass spectrum annotation, both for library matching and training new machine learning algorithms. A key step in training machine learning models is the availability of high-quality training data. Public libraries of mass spectrometry data that are open to user submission often suffer from limited metadata curation and harmonization. The resulting variability in data quality makes training of machine learning models challenging. Here we present a library cleaning pipeline designed for cleaning tandem mass spectrometry library data. The pipeline is designed with ease of use, flexibility, and reproducibility as leading principles.Scientific contributionThis pipeline will result in cleaner public mass spectral libraries that will improve library searching and the quality of machine-learning training datasets in mass spectrometry. This pipeline builds on previous work by adding new functionality for curating and correcting annotated libraries, by validating structure annotations. Due to the high quality of our software, the reproducibility, and improved logging, we think our new pipeline has the potential to become the standard in the field for cleaning tandem mass spectrometry libraries.
The present study explores the development and evaluation of a mixed reality music visualization for a live music performance. Real-time audio analysis and crossmodal correspondences were used as design guidelines for creating the visualization, which was presented through a head-mounted-display. To assess the impact of the music visualization on the audience’s aesthetic experience, a baseline visualization was designed, featuring the same visual elements but with random changes of color and movement. The audience’s aesthetic experience of the two conditions (i.e., listening to the same song with different visualizations) was assessed using the Aesthetic Emotions Scale (AESTHEMOS) questionnaire. Additionally, participants answered questions regarding the perceived audiovisual congruence of the stimuli and questionnaires about individual musicality and aesthetic receptivity. The results show that the visualization controlled by real-time audio analysis was associated with a slightly enhanced aesthetic experience of the audiovisual composition compared to the randomized visualization, thereby supporting similar findings reported in the literature. Furthermore, the tested personal characteristics of the participants did not significantly affect aesthetic experience. Significant correlations between these characteristics and the aesthetic experience were observed only when the ratings were averaged across conditions. An open interview provided deeper insights into the participants’ overall experiences of the live music performance. The results of the study offer insights into the development of real-time music visualization in mixed reality, examines how the specific audiovisual stimuli employed influence the aesthetic experience, and provides potential technical guidelines for creating new concert formats.
Seit fast fünf Jahrzehnten wird – aus Sicht der Sozialen Arbeit – bemängelt, dass dem Sozialen Dienst in der stationären Altenhilfe ein originäres, differenziertes Aufgabenprofil fehlt. Angesichts sozialer und sozialpolitischer Transformationsprozesse, die Anforderungen an den Sozialen Dienst in diesem Feld verändert haben, ist eine Konkretisierung gegenwärtig von besonderer Relevanz. Anhand der Ergebnisse von Fokusgruppen und Expert*inneninterviews mit Fachkräften des Sozialen Dienstes in der stationären Altenhilfe in NRW stellt der Beitrag ihre aktuellen Aufgaben sowie diesbezügliche Veränderungen in jüngerer Zeit dar.
In research on the development of musical preferences, children are often asked either to evaluate musical pieces that have been previously selected by adult experimenters, or to give self-reports on preferences for different musical styles. This study involved analyzing a sample of 1,412 freely and publicly expressed music requests from children aged between 4 and 11 years taken from a German radio program, with regard to age- and sex-specific differences. The music was categorized into genres, as listed on Spotify, and examined using methods of music information retrieval provided by the Spotify Developer application programming interface. Results showed that, at younger ages, the requests were generally more evenly distributed across different genres. Regarding single genres, we observed small positive relationships between age and the likelihood of requesting the genres pop or electro and small negative relationships between age and the likelihood of requesting A capella, German songwriter, indie, theme songs, or children's music. Furthermore, we found that boys requested significantly more rock or hip-hop, whereas girls had a higher tendency to ask for pop. Finally, age- (but no sex-) related differences regarding the Spotify features of valence and liveness of the requested music were found, which were related to the preference for children's music at younger ages. The results thus suggest that previous findings regarding differences between boys and girls and an increasing formation of distinct genre preferences during infancy also apply to single song requests made on a radio show.
Optimization of hybrid solar chimney power plants (HSCPPs): A review of multi-objective approaches
(2025)
A numerical study is carried out meticulously to scrutinize the impact of different shapes of chimneys like circular (outer dia, dc), convergent (outer dia, 0.5dc), divergent (outer dia, 1.5dc), sudden contraction (outer dia, 0.5dc), and sudden expansion (outer dia, 1.5dc) on the performance of an SCPP. Furthermore, the parametric impact with different chimney divergence angles (CDA, ϕ), and ground absorber slope angle (GSA, γ) on the SCPP performance is also scrutinized. Optimum divergence angle (ϕ=+0.75◦) enhances the power generation up to ~ 47% (76 kW) with a horizontal ground absorber surface. An increase or decrease in CDA lessens the power generation. With a sloped ground absorber angle γ=0.6◦, the gain in power generation is 60% (82 kW). The study of combination of ground sloped absorber (γ=0.6◦) and divergent chimney (ϕ=+0.75◦) shows enhancement of the power generation upto 80% (92 kW) more than the classical Manzaranes plant.
Theoretical Background: The COVID-19 pandemic has negatively impacted the mental health of many adolescents and emerging adults (A and EA). Studies from before the COVID-19 pandemic document that A and EA with mental health problems rarely seek help. At the same time, studies suggest that the COVID-19 pandemic and the associated framework conditions also negatively impacted the help-seeking process for A and EA. Objective: This study provides a research synthesis on A’s and EA’s help-seeking process (in particular, help-seeking behavior) during the COVID-19 pandemic and identifies potential influencing factors on the help-seeking process. Method: We conducted a scoping review in accordance with the framework proposed by Arksey and O’Malley (2005) and adhered to the PRISMA Extension for Scoping Reviews Guidelines (Tricco et al., 2018) while analyzing the content of primary studies examining the help-seeking process of A and EA with mental health problems during the COVID-19 pandemic. Results: Fourteen primary studies met the inclusion criteria. The synthesized data indicate that increased psychological stress during the COVID-19 pandemic did not automatically lead to increased help-seeking behavior. Furthermore, we identified several factors influencing help-seeking behavior, such as personal factors (e. g., gender), factors linked to the social environment (e. g., open conversation style within the family), and structural factors (e. g., prolonged waiting periods) that influenced the help-seeking process. Notably, many of these factors had already been identified in prepandemic studies (e. g., gender). Discussion and conclusion: We discuss the results concerning possible prevention measures.
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.
This study investigates aluminum heat sinks integrated with GR42 phase change material (PCM), aiming to enhance thermal inertia and stabilize device temperatures. This is important, since the increasing miniaturization and performance demands for electronic devices have led in a growing need for advanced thermal management systems capable of handling rapid transient loads. The novelty of the work lies in examining different heat sink layouts that optimize the heat dissipation capabilities of GR42 PCMs while minimizing size and weight for electronic cooling. The experimental testing was conducted using three configurations, namely no fin, circular fin and hexagonal fin, with three input powers (4 W, 8 W, and 12 W). The experimental results show that the hexagonal-fin heat sink, surface area is 25 % more than circular fins, exhibited superior thermal performance without significant variation in input power. Notably, the hexagonal-fin heat sink achieved the desired set point temperature of 55 ◦C in 33 % less time than the circular-fin design and 45 % less time than the heat sink without fins. Furthermore, the peak temperatures increased up to 21 % for circular fins. During the charging cycles, the enhancement ratios vary from 72 % and begin to narrow to 25 % during discharge cycles. The hexagonal-fin configuration also exhibited superior melting dynamics, completing the phase transition 44 % faster at higher input power than the circular fins, and established a thermal deviation of nearly 51 % less than finless heat sinks. These findings underscore the critical role of fin geometry and PCM integration in achieving uniform temperature distribution and improved energy storage efficiency. Overall, the hexagonal-fin heat sink with GR42 PCM shows strong potential as a passive cooling solution for low-power portable electronic devices.
This study investigates heat transfer enhancement in magneto-nanofluidic systems through the strategic placement of adiabatic blocks in grooved channels. Using CuO–H2O nanofluid in a bottom-heated channel with circular expansion, we examine the complex interactions between forced convection, magnetic fields, and uoyancy effects. Through systematic numerical analysis, we explore the combined influences of Rayleigh, Reynolds, and Hartmann numbers on thermal performance. Our findings reveal significant heat transfer enhancement (up to 137 %) under optimal conditions, particularly with vertical magnetic field orientation at Re = 100 and Ha = 30. The results demonstrate how adiabatic blocks modify flow structures, with larger blocks diminishing vortex intensity while elevated Ra generates secondary vortices that interact with primary circulations. Magnetic field effects show notable dependence on orientation, with vertical fields generally promoting better heat transfer than horizontal configurations. To complement the numerical analysis, we develop a predictive model using Artificial Neural Network (ANN) for Nusselt numbers across various operating conditions, achieving over 99 % accuracy. The integrated computational-ANN approach offers significant advancements in optimizing thermal systems in various areas, ranging from electronics cooling to microfluidic devices.