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Review

Faculty of Engineering and Information Sciences - Papers: Part A

2011

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Introduction - A Review Of Membrane Reactors, Fausto Gallucci, Angelo Basile, Faisal Ibney Hai Jan 2011

Introduction - A Review Of Membrane Reactors, Fausto Gallucci, Angelo Basile, Faisal Ibney Hai

Faculty of Engineering and Information Sciences - Papers: Part A

In the last decades, membrane catalysis has been studied by several research and the significant progress in this field is summarized in several review articles (Armor 1998, Lin 2001, Lu 2007, Mcleary 2006, Sanchez 2002, Saracco 1994, Shu 1991). Considering a IUPAC definition (Koros 1996), a membrane reactor (MR) is a device for simultaneously performing a reaction (steam reforming, dry reforming, autothermal reforming, etc.) and a membrane-based separation in the same physical device. Therefore, the membrane not only plays the role of a separator, but also takes place in the reaction itself. The term Membrane Bioreactor (MBR), on the other ...


Methods For Generating Complex Networks With Selected Structural Properties For Simulations: A Review And Tutorial For Neuroscientists, Brenton Prettejohn, Matthew Berryman, Mark Mcdonnell Jan 2011

Methods For Generating Complex Networks With Selected Structural Properties For Simulations: A Review And Tutorial For Neuroscientists, Brenton Prettejohn, Matthew Berryman, Mark Mcdonnell

Faculty of Engineering and Information Sciences - Papers: Part A

Many simulations of networks in computational neuroscience assume completely homogenous random networks of the Erdös–Rényi type, or regular networks, despite it being recognized for some time that anatomical brain networks are more complex in their connectivity and can, for example, exhibit the “scale-free” and “small-world” properties. We review the most well known algorithms for constructing networks with given non-homogeneous statistical properties and provide simple pseudo-code for reproducing such networks in software simulations. We also review some useful mathematical results and approximations associated with the statistics that describe these network models, including degree distribution, average path length, and clustering coefficient ...