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The Potentials of a Relational View – from Education to Leadership : A Conversation with and between Kenneth Gergen and Bayo Akomolafe
No full textLearning Dynamic Fault Trees from Data for Interpretable Failure Prediction
No full textFault Tree Analysis (FTA) is a standard method in reliability engineering to model causes of system failures. While Static Fault Trees (SFTs) capture logical ependencies, they cannot represent time-dependent or sequential failure behavior. Dynamic Fault Trees (DFTs) overcome this limitation but are still constructed manually using expert knowledge, limiting their use in data-driven applications. This paper presents a method for automatically learning DFTs from temporal event data. We extend the LIFT algorithm with support for dynamic gates (PAND, SEQ) and use the PAMH test to evaluate statistical associations between event combinations and their parent, while a Chi-square test distinguishes between SEQ and PAND gates based on the frequency of order violations. The result is an interpretable model that captures both structural and temporal failure logic. We evaluate the method on synthetic datasets generated from a manually constructed DFT designed by a domain expert, with varying levels of noise and event frequencies. The learned DFTs show high predictive and structural accuracy under ideal conditions and remain robust under noise with appropriate pa-rameter tuning. This demonstrates the potential of the approach for interpretable failure prediction in intelligent manufacturing
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Awake prone positioning and ventilation distribution as assessed by electric impedance tomography in patients with non-COVID-19 acute hypoxemic respiratory failure : A prospective physiology study
No full textRegional lung function assessment using electrical impedance tomography in COPD, PRISm, and normal spirometry subjects : insights into early diagnostic potential
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Smells like a Good Deal? Congruent Scents and Narrow Anchor Zones Each Increase Price Estimates - But Congruence Effects are Stronger in Broad Anchor Zones
No full textIn this bachelor’s thesis, we analyse the influence of scent congruence and anchor zone breadth on price estimates in a simulated negotiation. While past research shows that pleasant scents can positively influence consumers' evaluations, it remains unclear how scents and price anchors together shape price expectations. In this study we aim to gain insights about the role of olfactory stimuli and cognitive anchors in negotiations and derive their practical relevance for pricing and marketing strategies.
In a laboratory experiment, 47 participants evaluated 80 product-scent combinations and estimated the final negotiation price that they expected to agree upon with the seller. Our findings show significant main effects: Congruent scents continuously lead to overall higher price estimates than incongruent scents, and narrow anchor zones lead to overall higher price estimates than broad anchor zones. Furthermore, we find an interaction between scent congruence and anchor zone breadth: The positive effect of congruent scents is especially pronounced within broad anchor zones. These findings demonstrate that multisensory stimuli, especially olfactory cues in combination with price anchors, are an effective factor that can influence economic decisions
