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±¨¸æÌâÄ¿£ºControlling mean exit time of stochastic dynamical systems based on quasipotential and machine learning

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±¨¸æÄÚÈÝÕªÒª£ºThe mean exit time escaping basin of attraction in the presence of white noise is of practical importance in various scientific fields. In this work, we propose a strategy to control mean exit time of general stochastic dynamical systems to achieve a desired value based on the quasipotential concept and machine learning. Specifically, we develop a neural network architecture to compute the global quasipotential function. Then we design a systematic iterated numerical algorithm to calculate the controller for a given mean exit time. Moreover, we identify the most probable path between metastable attractors with the help of the effective Hamilton-Jacobi scheme and the trained neural network. Numercal experiments with various dimensions and structures demonstrate that our control strategy is effective and sufficiently accurate.  

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±¨¸æÌâÄ¿£ºWhen do resilient employees work harder? Exploring the moderating roles of overqualification and family motivation

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Drawing on the conservation of resources (COR) theory, this study sought to examine the relationship between individual resilience and work effort, as well as the moderating roles of overqualification and family motivation, which present distinct forms of resources in the on- and off-the-job domain. Results from a two-wave sample (N= 220) in China indicated that individual resilience was positively related to work effort. In particular, the positive relationship was stronger when employees were overqualified or high in family motivation.

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Yuanyuan Gong is an Associate Professor of Management at Okayama University. She earned her Ph.D. in Management from the Chinese University of Hong Kong. Her research interests encompass leadership, employee turnover, emotions, and strategic management. Her work has been published in respected journals, including Organizational Behavior and Human Decision Processes, International Journal of Human Resource Management, Asia Pacific Journal of Management, International Journal of Contemporary Hospitality Management, and Review of Managerial Science, among others.


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The European Union expects that hydrogen will play a vital role in future energy systems. Since the anticipated new applications of hydrogen in fuel cell vehicles and steel production, economic feasibility of producing hydrogen needs to be studied for the infrastructure investments. Clean hydrogen can be produced where there is a surplus supply of electricity at low prices, or by using renewables such as solar and wind energy. This presentation therefore provides two hydrogen production cases, respectively a Swedish nuclear power plant, and a hydrogen refuelling station. The study reveals that hydrogen production brings alternative opportunities for large-scale electricity production facilities in Sweden. Factors such as hydrogen price will be influential and require in-depth investigation. In addition, in a decentralized production such as refuelling stations, wind speed is crucial in reducing the cost, whereas solar radiation has less influence. In addition, a combination of solar and wind brings better performance in an off-grid scenario. The most encouraging finding is the cost of 35¨C72 SEK/kg (3.5¨C7.2 €/kg), which is competitive with reported costs in other EU countries, especially since this cost excludes any government support scheme. The study provides a reference for investors and policy makers foreseeing the industrial landscape for hydrogen energy development.

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