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Hintergrund: Empirische Studien zeigen, dass mehr als zwei Drittel der Beschäftigten trotz Krankheit zur Arbeit gehen. Dieser sog. Präsentismus bringt sowohl gesundheitliche und motivationale Risiken für die Mitarbeiter als auch wirtschaftliche Risiken für die Organisation mit sich.
Ziel der Arbeit: Die durchgeführten Studien fokussieren Möglichkeiten zur Verringerung der negativen gesundheitlichen Effekte und entwickeln Maßnahmen zur generellen Vermeidung von Präsentismus am spezifischen Setting Hochschule.
Methode: An einer deutschen Hochschule erfolgte eine quantitative Befragung (n = 308) zur Prävalenz von Präsentismus, dessen Zusammenhang mit körperlichen Beschwerden untersucht wurde. Weiterhin wurden potenziell moderierende Effekte der Ressourcen Erholung, Achtsamkeit und Work-Life-Balance (WLB) betrachtet. Eine qualitative Studie explorierte auf Grundlage von Interviews (n = 11, qualitative Inhaltsanalyse) Gründe für Präsentismus und potenzielle Maßnahmen, um diesem entgegenzuwirken.
Ergebnisse: Die quantitativen Ergebnisse zeigen, dass Präsentismus im Hochschulkontext vertreten ist und körperliche Beschwerden begünstigt. Die Ressourcen Erholung, Achtsamkeit und WLB können bei hoher Ausprägung die negativen gesundheitlichen Effekte von Präsentismus abschwächen. Bei niedriger Ausprägung verstärken sie die Effekte. Die qualitative Analyse machte deutlich, dass quantitative Arbeitsbelastung, Pflichtgefühl sowie das Gefühl, noch leistungsfähig zu sein, zentrale Gründe für Präsentismus sind und zum Beispiel die Unterstützung eines gesundheitsförderlichen Organisationsklimas oder Vertretungsregelungen geeignete Gegenmaßnahmen darstellen.
Diskussion: Die Ergebnisse werden vor dem Hintergrund verhaltens- und verhältnispräventiver Maßnahmen diskutiert und praktische Implikationen abgeleitet.
Ghana suffers from frequent power outages, which can be compensated by off-grid energy solutions. Photovoltaic-hybrid systems become more and more important for rural electrification due to their potential to offer a clean and cost-effective energy supply. However, uncertainties related to the prediction of electrical loads and solar irradiance result in inefficient system control and can lead to an unstable electricity supply, which is vital for the high reliability required for applications within the health sector. Model predictive control (MPC) algorithms present a viable option to tackle those uncertainties compared to rule-based methods, but strongly rely on the quality of the forecasts. This study tests and evaluates (a) a seasonal autoregressive integrated moving average (SARIMA) algorithm, (b) an incremental linear regression (ILR) algorithm, (c) a long short-term memory (LSTM) model, and (d) a customized statistical approach for electrical load forecasting on real load data of a Ghanaian health facility, considering initially limited knowledge of load and pattern changes through the implementation of incremental learning. The correlation of the electrical load with exogenous variables was determined to map out possible enhancements within the algorithms. Results show that all algorithms show high accuracies with a median normalized root mean square error (nRMSE) <0.1 and differing robustness towards load-shifting events, gradients, and noise. While the SARIMA algorithm and the linear regression model show extreme error outliers of nRMSE >1, methods via the LSTM model and the customized statistical approaches perform better with a median nRMSE of 0.061 and stable error distribution with a maximum nRMSE of <0.255. The conclusion of this study is a favoring towards the LSTM model and the statistical approach, with regard to MPC applications within photovoltaic-hybrid system solutions in the Ghanaian health sector.
Bei untypischen Verhaltensweisen am Unfalltag ist allein aus dem objektiven Zurücklegen des Heimweges kein zweifelsfreier Rückschluss auf die erforderliche subjektive Handlungstendenz möglich. Den Zweifeln an einer den Versicherungsschutz rechtfertigenden Handlungstendenz kann im Falle eines untypischen Verlaufs nicht mit einer Beweiserleichterung begegnet werden.
The actomyosin system generates mechanical work with the execution of the power stroke, an ATP-driven, two-step rotational swing of the myosin-neck that occurs post ATP hydrolysis during the transition from weakly to strongly actin-bound myosin states concomitant with Pi release and prior to ADP dissociation. The activating role of actin on product release and force generation is well documented; however, the communication paths associated with weak-to-strong transitions are poorly characterized. With the aid of mutant analyses based on kinetic investigations and simulations, we identified the W-helix as an important hub coupling the structural changes of switch elements during ATP hydrolysis to temporally controlled interactions with actin that are passed to the central transducer and converter. Disturbing the W-helix/transducer pathway increased actin-activated ATP turnover and reduced motor performance as a consequence of prolonged duration of the strongly actin-attached states. Actin-triggered Pi release was accelerated, while ADP release considerably decelerated, both limiting maximum ATPase, thus transforming myosin-2 into a high-duty-ratio motor. This kinetic signature of the mutant allowed us to define the fractional occupancies of intermediate states during the ATPase cycle providing evidence that myosin populates a cleft-closure state of strong actin interaction during the weak-to-strong transition with bound hydrolysis products before accomplishing the power stroke.
Zur Beschreibung der Prävalenzen des für Deutschland relevanten Glücks- und Gewinnspiels finanziert der Bund u. a. den Forschungsbericht der Bundeszentrale für gesundheitliche Aufklärung (BZgA) „Glücksspielverhalten und Glücksspielsucht in Deutschland“, der alle zwei Jahre veröffentlicht wird.(1) Die BZgA ist eine Fachbehörde im Geschäftsbereich des Bundesministeriums für Gesundheit (BMG). Zudem fördert das BMG aufgrund eines Beschlusses des Deutschen Bundestages den vom IFT Institut für Therapieforschung (IFT), eine gemeinnützige Gesellschaft mit beschränkter Haftung (gGmbH), jährlich herausgegebenen Jahresbericht der Deutschen Suchthilfestatistik (DSHS)(2) mit dem Titel Suchthilfe in Deutschland.3 Die dort veröffentlichten Ergebnisse fassen jeweils die aktuellen Ergebnisse der DSHS zusammen.