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Júlio Lobão
The literature on individuals? ability to predict their own level of risk tolerance is scarce and presents divergent results. Utilizing both differential prediction models and logit models on a sample of 391 individuals in Portugal, this study demonstrat...
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Zhiqun Sun, Yanbo Wu, Hao Sun, Dian Zhou, Yang Lou and Lei Qin
This study used micro data from the Chinese General Social Survey (CGSS) in 2018 to explore the impact of China?s residential clean energy consumption on residents? subjective well-being. Our research results show that: the more clean energy consumption ...
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Liming Mu, Yingzhi Zhang and Guiming Guo
The risk assessment of the failure mode of the traditional machining center component rarely considers the topological characteristics of the system and the influence of propagation risks, which makes the failure risk assessment results biased. Therefore...
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Guilin Liu, Pengfei Xu, Yi Kou, Fang Wu, Yi Yang, Daniel Zhao and Zaijin You
Typhoon storm surge disasters are one of the main restrictive factors of sustainable development in coastal areas. They are one of several important tasks in disaster prevention and reduction in coastal areas and require reasonable and accurate calculati...
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Mark Krystofik, Christopher J. Valant, Jeremy Archbold, Preston Bruessow and Nenad G. Nenadic
We developed a framework for the risk assessment of delaying the delivery of shipments to customers in the presence of incomplete information pertaining to a significant, e.g., weather-related, event that could cause substantial disruption. The approach ...
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Hyeonmin Jeon, Kido Park and Jongsu Kim
In order to secure the safe operation of the ship, it is crucial to closely examine the suitability from the design stage of the ship, and to set up a preliminary review and countermeasures for failures and defects that may occur during the construction ...
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Reem Ahmed, Tarek Zayed and Fuzhan Nasiri
Healthcare facilities are constantly deteriorating due to tight budgets allocated to the upkeep of building assets. This entails the need for improved deterioration modeling of such buildings in order to enforce a predictive maintenance approach that dec...
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Emad Mohamed, Parinaz Jafari and Simaan AbouRizk
Currently, input modeling for Monte Carlo simulation (MSC) is performed either by fitting a probability distribution to historical data or using expert elicitation methods when historical data are limited. These approaches, however, are not suitable for ...
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Érico Gaspar Lisboa, Ronaldo Lopes Rodrigues Mendes, Manuel Maria Pacheco Figueiredo and Leonardo Augusto Lobato Bello
This study proposes a fuzzy-probabilistic modelling approach for groundwater contamination risk assessment (FPM-risks) regarding underground fuel storage tanks (UFST). Considering the subjective measures of hydrogeological parameters, a fuzzy inference s...
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Birgitta Dresp-Langley and Marie Monfouga
Pieron?s and Chocholle?s seminal psychophysical work predicts that human response time to information relative to visual contrast and/or sound frequency decreases when contrast intensity or sound frequency increases. The goal of this study is to bring to...
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