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Irradiance and atmospheric optical properties from photovoltaic power data: model improvements and first results
No full textPhotovoltaic (PV) power data are a valuable but as yet under-utilised resource that could be used to characterise global irradiance with unprecedented spatio-temporal resolution. The resulting knowledge of atmospheric conditions can then be fed back into weather models and will ultimately serve to improve forecasts of PV power itself. This provides a data-driven alternative to statistical methods that use post-processing to overcome inconsistencies between ground-based irradiance measurements and the corresponding predictions of regional weather models (see for instance Frank et al., 2018). This work reports first results from an algorithm developed to infer global horizontal irradiance as well as atmospheric optical properties such as aerosol or cloud optical depth from PV power measurements
Integrating Continuous and Teleporting VR Locomotion into a Seamless "HyperJump" Paradigm
No full textEvaluation of Account Recovery Strategies with FIDO2-based Passwordless Authentication
No full textThreats to passwords are still very relevant due to attacks like phishing or credential stuffing. One way to solve this problem is to remove passwords completely. User studies on passwordless FIDO2 authentication using security tokens demonstrated the potential to replace passwords. However, widespread acceptance of FIDO2 depends, among other things, on how user accounts can be recovered when the security token becomes permanently unavailable. For this reason, we provide a heuristic evaluation of 12 account recovery mechanisms regarding their properties for FIDO2 passwordless authentication. Our results show that the currently used methods have many drawbacks. Some even rely on passwords, taking passwordless authentication ad absurdum. Still, our evaluation identifies promising account recovery solutions and provides recommendations for further studies
Masterprüfungsordnung 2021 für den konsekutiven Studiengang Marketing (M.Sc.) am Campus Rheinbach der Hochschule Bonn-Rhein-Sieg vom 25.06.2020
No full textRichtlinien zur Verlängerung eines PhD-Stipendiums an der Hochschule Bonn-Rhein-Sieg vom 09.03.2021
No full textCodon Bias Can Determine Sorting of a Potassium Channel Protein
No full textDue to the redundancy of the genetic code most amino acids are encoded by multiple synonymous codons. It has been proposed that a biased frequency of synonymous codons can affect the function of proteins by modulating distinct steps in transcription, translation and folding. Here, we use two similar prototype K+ channels as model systems to examine whether codon choice has an impact on protein sorting. By monitoring transient expression of GFP-tagged channels in mammalian cells, we find that one of the two channels is sorted in a codon and cell cycle-dependent manner either to mitochondria or the secretory pathway. The data establish that a gene with either rare or frequent codons serves, together with a cell-state-dependent decoding mechanism, as a secondary code for sorting intracellular membrane proteins
Need Satisfaction and Optimal Functioning at Leisure and Work: A Longitudinal Validation Study of the DRAMMA Model
Get PDFIn recent years, there has been an increasing interest in psychological need satisfaction and its role in promoting optimal functioning. The DRAMMA model integrates existing need and recovery models to explain why leisure is connected to optimal functioning (i.e., high well-being and low ill-being). It encompasses six psychological needs: detachment, relaxation, autonomy, mastery, meaning, and affiliation (DRAMMA). While the individual needs of the DRAMMA model have been previously shown to relate to different aspects of optimal functioning, a longitudinal study examining the entire model has not been conducted before. In this longitudinal field study covering leisure and work episodes, we tested the within-person reliability and (construct and criterion) validity of the operationalization of the DRAMMA model in a sample of 279 German employees. Participants filled out measures of DRAMMA need satisfaction and optimal functioning at five measurement times before, during, and after vacation periods in 2016 and 2017. The six-factor model showed good fit to the data. In the multilevel models, relaxation, detachment, autonomy, and mastery had the most consistent within-person effects on optimal functioning, while the relationships between optimal functioning, meaning, and affiliation were considerably weaker. In conclusion, DRAMMA need satisfaction can aid and nurture employees’ optimal functioning
Well Recovered and More Creative? A Longitudinal Study on the Relationship Between Vacation and Creativity
No full textThe aim of this study was to investigate employees’ self-reported creativity before and after vacation and to examine the impact of recovery experiences (detachment, relaxation, mastery, meaning, autonomy, affiliation) on changes in creativity. The DRAMMA model of Newman et al. provides the theoretical background of our approach. Longitudinal data was assessed with four repeated measurements. The study encompassed data from 274 white-collar workers. Analyses showed that employees subjectively perceive their creativity to benefit not immediately after their vacation but 2 weeks later. Detachment was significantly related to lower creativity within persons, while mastery experiences explained differences in creativity between persons. This study provides a detailed picture of changes in creativity around vacations
Open-Access-Leitlinien der Hochschule Bonn-Rhein-Sieg
No full textZur Förderung einer freien und offenen Wissenschaft fördert und unterstützt die Hochschule Bonn-Rhein-Sieg den ungehinderten Zugang zu wissenschaftlicher Arbeit. Um die wissenschaftlichen Ergebnisse der Forschenden an der H-BRS einer breiten Öffentlichkeit zugänglich zu machen, wird die Möglichkeit gefördert, wissenschaftliche Arbeiten Open Access zu publizieren. Dadurch lassen sich diese ohne Zugriffsbeschränkungen nutzen und sind international sichtbar
Hochschulentwicklungsplan 2021 bis 2025: Wissenschaft, Nachhaltigkeit, Digitalisierung, gesellschaftliche Verantwortung
No full textDer Hochschulentwicklungsplan (HEP) 3 der Hochschule Bonn-Rhein-Sieg beschreibt die strategischen Schwerpunkte der Hochschulentwicklung für die Jahre 2021 bis 2025. Er steht insbesondere unter den Leitbegriffen "Nachhaltigkeit und gesellschaftliche Verantwortung, Digitalisierung, Internationalisierung und Diversität"