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Biomass Demineralization: A Critical Need for Future Biorefineries. [PDF]
Santiago-Martínez L +27 more
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Multiscale characteristics and cracking behavior in reservoir sandstone under dry-wet cycles: Insights from NMR, AE and SEM. [PDF]
He P +5 more
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Styrene-Acrylic Elastomeric Waterproofing Membranes: Composition, Performance, Durability and Emerging Formulation Technologies. [PDF]
Kontiza A +2 more
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Mineral particles, mineral fibers, and lung cancer
Environmental Research, 1985The total fibrous and nonfibrous mineral content of the lung has been analyzed in a series of 14 men with lung cancer but no history of occupational dust exposure, and in a series of 14 control men matched for age, smoking history, and general occupational class. The lung cancer patients had an average of 525 +/- 369 X 10(6) exogenous mineral particles
A, Churg, B, Wiggs
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Effect of particle–particle shearing on the bioleaching of sulfide minerals
Biotechnology and Bioengineering, 2002AbstractThe biological leaching of sulfide minerals, used for the production of gold, copper, zinc, cobalt, and other metals, is very often carried out in slurry bioreactors, where the shearing between sulfide particles is intensive. In order to be able to improve the efficiency of the bioleaching, it is of significant importance to know the effect of ...
N, Chong, D G, Karamanev, A, Margaritis
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Particle–Bubble Attachment in Mineral Flotation
Journal of Colloid and Interface Science, 1999Attachment efficiencies of rough, angular, methylated quartz particles with nitrogen bubbles are derived from experimental capture efficiency data in conjunction with a collision model termed the Generalized Sutherland Equation (GSE). The methylated quartz particles ranged in size from 7.5 to 70 µm equivalent diameter and had advancing contact angles ...
, Dai, , Fornasiero, , Ralston
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2003
This paper describes the implementation of Data Mining tasks using Particle Swarm Optimisers. The object of our research has been to apply such algorithms to classification rule discovery. Results, concerning accuracy and speed performance, were empirically compared with another evolutionary algorithm, namely a Genetic Algorithm and with J48 – a Java ...
Tiago Ferra de Sousa +2 more
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This paper describes the implementation of Data Mining tasks using Particle Swarm Optimisers. The object of our research has been to apply such algorithms to classification rule discovery. Results, concerning accuracy and speed performance, were empirically compared with another evolutionary algorithm, namely a Genetic Algorithm and with J48 – a Java ...
Tiago Ferra de Sousa +2 more
openaire +1 more source

