NEUROCIRCUIT MODELS OF OBSESSIVE-COMPULSIVE DISORDER: LIMITATIONS AND FUTURE DIRECTIONS FOR RESEARCH


Developing a Bayesian network model for understanding river catchment resilience under future change scenarios

The resilience of river catchments and the vital socio-ecological services they provide are threatened by the cumulative impacts of future climatic and socio-economic change.Stakeholders who manage freshwaters require tools for increasing their understanding of catchment system resilience when making strategic decisions.However, unravelling causes,

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Petri Net Model Based on Neural Network for Deadlock Control and Fault Detection and Treatment in Automated Manufacturing Systems

Previously, different deadlock control strategies for automated manufacturing systems (AMSs) based on Petri Nets with reliable resources have been proposed.However, in real-world applications, resources may be unreliable.Therefore, deadlock control strategies presented in previous research studies are not suitable for such applications.To address t

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