Publications by authors named "Joseph McNitt"

Mathematical models rooted in network representations are becoming increasingly more common for capturing a broad range of phenomena. Boolean networks (BNs) represent a mathematical abstraction suited for establishing general theory applicable to such systems. A key thread in BN research is developing theory that connects the structure of the network and the local rules to phase space properties or so-called structure-to-function theory.

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Modern food systems facilitate rapid dispersal of pests and pathogens through multiple pathways. The complexity of spread dynamics and data inadequacy make it challenging to model the phenomenon and also to prepare for emerging invasions. We present a generic framework to study the spatio-temporal spread of invasive species as a multi-scale propagation process over a time-varying network accounting for climate, biology, seasonal production, trade and demographic information.

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Rarely have studies focused on the second- and third-order effects of pandemics. Limiting the disruption of critical infrastructures during a pandemic is important for the survival and health of society (i.e.

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Synopsis of recent research by authors named "Joseph McNitt"

  • - Joseph McNitt's research spans a range of topics including mathematical modeling of Boolean networks, invasive species dynamics, and the resilience of food systems to pandemics.
  • - His 2023 article explores Lipschitz continuity in asynchronous Boolean networks, emphasizing the connection between network structure and phase space properties, contributing to the theoretical underpinnings of structure-to-function theory.
  • - McNitt's earlier work addresses the complexities of invasive agricultural pests in Asia, highlighting the need for comprehensive frameworks that consider multiple factors influencing pest spread, as well as examining the resilience of food systems amidst pandemics and their socio-environmental impacts.