Christopher E. Fulton

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Nucleotide sequence analysis of the internal transcribed spacer (ITS) regions 1 and 2 of the ribosomal DNA (rDNA) divided the three brown rot pathogens Monilinia laxa, M. fructicola and M. fructigena into four distinct groups. Isolates of M. fructigena received from Japan, which varied by 5 base substitutions in the ITS region from the European M.(More)
Monilinia fructicola, M. laxa and M. fructigena are the causal agents of brown rot of pome and stone fruits. M. fructicola is not present in Europe and is classed as a quarantine pathogen in EU countries. A 418-bp group-I intron has been located in the small subunit (SSU) rDNA gene of M. fructicola which is absent from M. laxa and M. fructigena. PCR primers(More)
PCR amplification of the small subunit (SSU) rDNA gene of 40 isolates of Nectria galligena revealed four length polymorphisms. PCR-RFLP analysis of the SSU rDNA gene divided the isolates into four categories similar, but not identical, to categories identified by Southern-RFLP analysis. Nucleotide sequence analysis revealed that isolates in three of the(More)
Since its founding, NASA has been dedicated to the advancement of aeronautics and space science. The NASA Scientific and Technical Information (STI) Program Office plays a key part in helping NASA maintain this important role. The NASA STI Program Office is operated by Langley Research Center, the Lead Center for NASA's scientific and technical information.(More)
This paper describes piloted evaluation of enhanced propulsion control modes for emergency operation of aircraft. Fast Response and Overthrust modes were implemented to assess their ability to help avoid or mitigate potentially catastrophic situations, both on the ground and in flight. Tests were conducted to determine the reduction in takeoff distance(More)
Over the last several years researchers at NASA Glenn and Ames Research Centers have developed a real-time fault detection and isolation system for propulsion subsystems of future space vehicles. The Propulsion IVHM Technologv Experiment (PITEq, as it is called follows the model-based diagnostic methodology and employs Livingstone, developed at NASA Ames,(More)
The Arnold Engineering Development Center and the NASA Lewis Research Center are collaborating on a system which will provide automated data validation and fault identification during developmental turbine engine testing. The system is based on a set of feature extraction algorithms developed at the NASA Lewis Research Center to aid in reusable and(More)
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