Separation and reaction using porous and palladium membranes (2007)
Thesis
Aldeeb, A. Separation and reaction using porous and palladium membranes. (Thesis). University of Salford

Two different types of inorganic membranes were prepared in this study,porous-silica/y-alumina membranes and palladium/a-alumina composite membranes.
Porous silica/y-alumina membranes were prepared by dip coating, characterized by gas permeation at... Read More about Separation and reaction using porous and palladium membranes.

An ethnography of metaphor usage in IS projects : from description to domination (2007)
Thesis
Griffiths, M. An ethnography of metaphor usage in IS projects : from description to domination. (Thesis). Salford : University of Salford

This study presents the story of a three-year ethnographical field study, from December
2000 to December 2003, conducted at a North West based Management Consultancy.
Throughout this period the organisation experienced accelerated growth from two s... Read More about An ethnography of metaphor usage in IS projects : from description to domination.

Aspects of metamaterial structures : theory and simulation (2007)
Thesis
King, N. Aspects of metamaterial structures : theory and simulation. (Thesis). Salford : University of Salford

The investigations reported here address the issue of overcoming loss in a typical
isotropic metamaterial. The possibility of adding functionality to such materials,
through gyrotropic effects, and diffraction management of nonlinear beams, driven... Read More about Aspects of metamaterial structures : theory and simulation.

Particle swarm and Bayesian networks applied to attribute selection for protein functional classification (2007)
Book Chapter
Correa, E., Freitas, A., & Johnson, C. (2007). Particle swarm and Bayesian networks applied to attribute selection for protein functional classification. In Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07 (2651). ACM Digital Library. https://doi.org/10.1145/1274000.1274081

The Discrete Particle Swarm (DPSO) algorithm is an optimizationmethod that belongs to the fertile paradigm of Swarm Intelligence. The DPSO was designed for the task of attribute selection and it deals with discrete variables in a straightforward mann... Read More about Particle swarm and Bayesian networks applied to attribute selection for protein functional classification.