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Full-Text Articles in Physical Sciences and Mathematics
Camel And Adcirc Storm Surge Models—A Comparative Study, Muhammad K. Akbar, Richard A. Luettich, Jason G. Fleming, Shahrouz K. Aliabadi
Camel And Adcirc Storm Surge Models—A Comparative Study, Muhammad K. Akbar, Richard A. Luettich, Jason G. Fleming, Shahrouz K. Aliabadi
Mechanical and Manufacturing Engineering Faculty Research
The Computation and Modeling Engineering Laboratory (CaMEL), an implicit solver-based storm surge model, has been extended for use on high performance computing platforms. An MPI (Message Passing Interface) based parallel version of CaMEL has been developed from the previously existing serial version. CaMEL uses hybrid finite element and finite volume techniques to solve shallow water conservation equations in either a Cartesian or a spherical coordinate system and includes hurricane-induced wind stress and pressure, bottom friction, the Coriolis effect, and tidal forcing. Both semi-implicit and fully-implicit time stepping formulations are available. Once the parallel implementation is properly validated, CaMEL is evaluated …
A Multifactorial Obesity Model Developed From Nationwide Public Health Exposome Data And Modern Computational Analyses, Lisaann S. Gittner, Barbara J. Kilbourne, Ravi Vadapalli, Hafiz M.K. Khan, Michael A. Langston
A Multifactorial Obesity Model Developed From Nationwide Public Health Exposome Data And Modern Computational Analyses, Lisaann S. Gittner, Barbara J. Kilbourne, Ravi Vadapalli, Hafiz M.K. Khan, Michael A. Langston
Sociology Faculty Research
Summary
Statement of the problem
Obesity is both multifactorial and multimodal, making it difficult to identify, unravel and distinguish causative and contributing factors. The lack of a clear model of aetiology hampers the design and evaluation of interventions to prevent and reduce obesity.
Methods
Using modern graph-theoretical algorithms, we are able to coalesce and analyse thousands of inter-dependent variables and interpret their putative relationships to obesity. Our modelling is different from traditional approaches; we make no a priori assumptions about the population, and model instead based on the actual characteristics of a population. Paracliques, noise-resistant collections of highly-correlated variables, are …