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  • 1
    ISSN: 1432-2242
    Keywords: Tissue culture ; Electrophoresis ; Storage proteins ; Mutation ; Triticum aestivum
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary Fertile r0 plants of the winter wheat line ND7532 (Triticum aestivum L.) were regenerated from callus tissue after 60–190 days in culture. Seeds produced from these self-pollinated plants were planted in the field. Of the 5586 R1 plants, 32 differed for one or more agronomic traits from plants not passed through tissue culture process. Gliadin electrophoregrams were prepared from bulk samples of R2 seed from these 32 plants. Four of the 32 produced gliadin patterns different from controls, so 12 seeds of each of these four lines were examined individually. Three of the four mutant lines were fixed for the presence of a mutant protein of 50 relative mobility units (RMU) and the corresponding loss of a parental protein of 26 RMU. The remaining line segregated for the presence/absence of band 50 and the corresponding loss/retention of band 26. The mutant protein of 50 RMU was never seen in control plants. This indicated that either band 50 was coded for by a mutant gene allelic to the gene that coded for band 26 or that bands 26 and 50 were coded for by two different structural alleles under the control of a common regulatory locus. Each of the 12 seeds from the four mutant lines contained a prominent protein band at 30 (RMU), which was only observed as a faint band in one control seed. The types of variation in gliadin patterns observed in somaclones of ND7532 were similar to those reported for the line ‘Yaqui 50E’, except that, gliadin changes occurred less frequently in ND7532.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Hoboken, NJ : Wiley-Blackwell
    AIChE Journal 31 (1985), S. 1202-1212 
    ISSN: 0001-1541
    Keywords: Chemistry ; Chemical Engineering
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
    Notes: Significant noise (random error) is common in an on-line signal when measuring the particle size distribution in a fluidized bed. The application of optimal estimation theory to obtain a filtering algorithm that can rectify such measurements is detailed. Off-line simulation studies demonstrate that the filtering algorithm yields a measure of particle size distribution that is well-behaved, accurate, and able to track in real time as conditions change in the bed.
    Additional Material: 7 Ill.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Hoboken, NJ : Wiley-Blackwell
    AIChE Journal 32 (1986), S. 186-194 
    ISSN: 0001-1541
    Keywords: Chemistry ; Chemical Engineering
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
    Notes: Optimal distributed-parameter filters are commonly implemented using approximating lumped Kalman filtering theory. The effect of such an approximation is investigated. A theoretical development shows that there is a loss in the spatial noise correlation for the lumped approximants. Two numerical examples of engineering significance illustrate that one result of this loss is slower filter convergence for the lumped approximants relative to the full distributed-parameter filters.
    Additional Material: 5 Ill.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Hoboken, NJ : Wiley-Blackwell
    AIChE Journal 32 (1986), S. 389-396 
    ISSN: 0001-1541
    Keywords: Chemistry ; Chemical Engineering
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
    Notes: A novel method for tracking particle size distribution dynamics in a fluidized bed yields on-line, real-time measurements of particle size distribution that are representative of actual conditions. These measurements are somewhat corrupted with noise (random error), however, and are available to the computer only at discrete time intervals. An optimal filtering algorithm combines the measurements with predictions from an idealized dynamic model to yield particle size distribution estimates that are not only on-line and real-time, but also virtually continuous and well-behaved.
    Additional Material: 7 Ill.
    Type of Medium: Electronic Resource
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