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Agent-based simulation of trust networks and opportunistic behaviours of hydraulic infrastructure project participants.

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College of Engineering and Physical Sciences, University of Birmingham, Birmingham, West Midlands, United Kingdom.

Opportunistic behaviour has become a research hotspot in hydraulic infrastructure project management owing to its serious damage to the cooperation efficiency of all participants in a project. The trust networks formed by each participant can restrain opportunistic behaviour, but due to the dynamic evolution of the networks, its research should adopt a dynamic paradigm. The structure and evolution of trust networks can be simulated using computer simulations and modelling.

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Analysis of inoculation strategies during COVID-19 pandemic with an agent-based simulation approach.

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Department of Industrial Engineering, Izmir University of Economics, Izmir, 35330, Türkiye. Electronic address:

Background: The severity of recent Coronavirus (COVID-19) pandemics has revealed the importance of development of inoculation strategies in case of limited vaccine availability. Authorities have implemented inoculation strategies based on perceived risk factors such as age and existence of other chronic health conditions for survivability from the disease. However, various other factors can be considered for identifying the preferred inoculation strategies depending on the vaccine availability and disease spread levels.

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A Coarse-Grained Simulation Approach for Protein Molecular Conformation Dynamics.

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Coarse-grained molecular dynamics simulation is widely accepted for assessment of a large complex biological system, but it may also lead to a misleading conclusion. The challenge is to simulate protein structural dynamics (such as folding-unfolding behavior) due to the lack of a necessary backbone flexibility. This study developed a standard coarse-grained model directly from the protein atomic structure and amino acid coarse-grained FF (such as MARTINI FF v2.

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Network pharmacology and molecular docking to explore mechanisms of clozapine-induced cardiac arrest.

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From the Computational Biology Centre and the Laboratory of Psychiatric-Neuroimaging-Genetic and Comorbidity, Tianjin Anding Hospital, Tianjin Mental Health Centre of Tianjin Medical University, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China.

Background: Clozapine is superior to all other antipsychotics in treating schizophrenia in terms of its curative efficacy; however, this drug is prescribed only as a last resort in the treatment of schizophrenia, given its potential to induce cardiac arrest. The mechanism of clozapine-induced cardiac arrest remains unclear, so we aimed to elucidate the potential mechanisms of clozapine-induced cardiac arrest using network pharmacology and molecular docking.

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Department of Mathematics, College of Science, University of Hafr Al Batin, Hafar Al-Batin, Saudi Arabia.

In this paper, we propose a new flexible statistical distribution, the Topp-Leone Exponentiated Chen distribution, to model real-world data effectively, with a particular focus on COVID-19 data. The motivation behind this study is the need for a more flexible distribution that can capture various hazard rate shapes (e.g.

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