Results 151 to 160 of about 40,894 (327)
The Amoeba interaction network monitor - initial results
, 1995 The interaction network... The main aim of this report is to document initial experiences with the Amoeba interaction network monitor. It begins with a very brief review of the interaction network concept, before describing the current implementation of ...
Paul Ashton
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The action of the systemic fungicides tridemorph and fenpropimorph on sterol biosynthesis by the soil amoeba Acanthamoeba polyphaga [PDF]
, 1987 Daniel Raederstorff, Michel Rohmer
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Experiences with the Amoeba Distributed Operating System
, 1990 The Amoeba project is a research effort aimed at understanding how to connect multiple computers in a seamless way [16, 17, 26, 27, 31]. The basic idea is to provide the users with the illusion of a single powerful timesharing system, when, in fact, the ...
Gregory J. Sharp +10 more
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PELAGIC AMOEBA IN THE INDIAN OCEAN
, 1969 Marine amoebae are rarely found among planktonic organisms, and no naked form of oceanic Protozoa has ever been obtained. An interesting marine pelagic amoeba was detected in the plankton samples, which were taken from the surface water of the Indian ...
Yoshine HADA
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OBSERVATIONS ON THE GIANT AMOEBA, AMOEBA CAROLINENSIS (WILSON, 1900)
The Biological Bulletin, 1946 1. It is concluded that the giant amoeba described by Wilson (1900) is not a Pelomyxa but belongs to the genus Amoeba and should be designated A. carolinensis. Chaos chaos is considered to be invalid as a name, owing to the fact that it is based on Roesel's inadequate description.2. Nutritional studies indicate that A.
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Amoeba-like infections in cultured marine fishes
, 2002 Two cases of Amoeba-like infections in cultured warmwater marine fish are described, a systemic infection in pompano T. falcatus from Singapore and a gill infection in Mediterranean (Greece) sea bream S. auratus.
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AMoEBA: the adaptive modeling by evolving blocks algorithm
, 2003 This dissertation presents AMoEBA, the Adaptive Modeling by Evolving Blocks Algorithm. AMoEBA is an evolutionary technique for automatic decomposition of data fields and solver/descriptor placement.
Johnson, Peter
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