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  • 1
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of chemical & engineering data 7 (1962), S. 327-331 
    ISSN: 1520-5134
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of the American Chemical Society 87 (1965), S. 5791-5793 
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Carbohydrate Research 5 (1967), S. 340-345 
    ISSN: 0008-6215
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Industrial and engineering chemistry 11 (1972), S. 495-501 
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
    Type of Medium: Electronic Resource
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  • 5
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    Unknown
    Urbana, etc. : Periodicals Archive Online (PAO)
    American Journal of Psychology. 70:4 (1957:Dec.) 640 
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Biological cybernetics 59 (1988), S. 265-275 
    ISSN: 1432-0770
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Computer Science , Physics
    Notes: Abstract Using the theory of random point processes, a method is presented whereby functional relationships between neurons can be detected and modeled. The method is based on a point process characterization involving stochastic intensities and an additive rate function model. Estimates are based on the maximum likelihood (ML) principle and asymptotic properties are examined in the absence of a stationarity assumption. An iterative algorithm that computes the ML estimates is presented. It is based on the expectation/maximization (EM) procedure of Dempster et al. (1977) and makes ML identification accessible to models requiring many parameters. Examples illustrating the use of the method are also presented. These examples are derived from simulations of simple neural systems that cannot be identified using correlation techniques. It is shown that the ML method correctly identifies each of these systems.
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    Probability theory and related fields 72 (1986), S. 395-415 
    ISSN: 1432-2064
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Summary Suppose a measure μ dominates a measure ŋ in the ordering induced by the excessive functions of a transient Markov process. Rost shows than ŋ can be represented as the distribution of the process stopped at a randomized optional time and started with initial distribution μ. In this paper we introduce the shift operator to the class of randomized optional times, inducing the class of randomized quasi-terminal times and that of randomized terminal times. We analyze the algebraic properties of these classes and obtain some compactness results for the class of randomized quasi-terminal times. Some applications, including remplissage by hitting times, are presented.
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Journal of chemical ecology 18 (1992), S. 1107-1116 
    ISSN: 1573-1561
    Keywords: Festuca arundinacea ; Acremonium coenophialum ; Epichlöe typhina ; Meloidogyne marylandi ; pathogenesis-related proteins ; elicitor ; plant defense ; fescue toxicosis ; nematodes
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology
    Notes: Abstract Tall fescue (Festuca arundinacea Schreb.) is a C-3 perennial grass noted for its persistence in harsh environments. Tall fescue persistence is enhanced byAcremonium coenophialum, a mutualistic fungal endophyte that increases resistance to drought, pathogens, and insects. This research was conducted to identify and elicit biochemical mechanism(s) that could account for tall fescue persistence. In initial studies, two cultivars known to differ in persistence were analyzed for chitinase, an antifungal hydrolase associated with disease resistance in other plants.Acremonium-infected Kentucky 31 (KY31), a persistent cultivar, and Johnstone, a nonpersistent cultivar, were inoculated with the parasitic nematode,Meloidogyne marylandi, grown for 50 days, and analyzed at 10-day intervals. Chitinase fluctuated throughout the 50-day period of seedling development, and activity was highest in the persistentAcremonium-infected KY31. In addition, chitinase was elicited by parasiticM. marylandi and expressed systemically. Subsequent studies were conducted to determine whether or not mutualisticAcremonium could increase chitinase activity. Genetically identical KY31, with and withoutAcremonium, were grown for 25 days and analyzed for chitinase at 5-day intervals. After 20 days,Acremonium-infected KY31 expressed more chitinase thanAcremonium-free KY31. We concluded that chitinase is related to tall fescue persistence; it was highest in the most persistent cultivar, increased under pathogen attack, and increased in the presence ofAcremonium, a symbiont known to enhance disease resistance.
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    Springer
    Journal of chemical ecology 19 (1993), S. 1183-1194 
    ISSN: 1573-1561
    Keywords: Aspergillus flavus ; fungus ; aflatoxin ; mycotoxin ; phytoalexin ; glyceollin
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology
    Notes: Abstract The soybean phytoalexin, glyceollin, suppresses the accumulation of aflatoxin B1 in cultures ofAspergillus flavus. At concentrations of 6.25μg/ ml and 62.5μg/ml, glyceollin causes 70% and 95% decreases in the maximum observed levels of aflatoxin B1, respectively. In contrast to the dramatic effect on aflatoxin B1 levels, these concentrations have little effect on fungal growth. For example, at 62.5μg/ml in liquid culture, glyceollin causes a barely discernible lag in the beginning of growth and a 11.5% decrease in maximum fungal mass. When the same concentration of glyceollin is added to the colony margin on semisolid medium, an inhibition zone is formed and then overgrown in one day. Glyceollin appears to act by inhibiting aflatoxin B1 synthesis, since the rate of aflatoxin B1 breakdown is not increased in fungal cultures that have been grown in the presence of glyceollin. Glyceollin does accumulate in viable soybean seeds that have been infected withAspergillus flavus. Such seeds accumulate aflatoxin B1 at one-third the rate of non-glyceollin-producing, nonviable seeds. These results suggest that the synthesis of glyceollin in infected seeds may explain, at least in part, why aflatoxin contamination of soybeans is not a common problem.
    Type of Medium: Electronic Resource
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  • 10
    ISSN: 1573-1561
    Keywords: Nitrogen fixation ; glyceollin ; phytoalexin ; Bradyrhizobium japonicum ; nodulation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology
    Notes: Abstract Nitrogen fixation in root nodules formed by strain 2143 ofBradyrhizobium japonicum andGlycine max (L.) Merr. cv Williams 82 reaches a maximum at 21 to 28 days postinoculation and then begins to decline. The phytoalexin, glyceollin, accumulates in nodules coincident with the decline in nitrogen fixation. Nodules formed by strain 3122, which are unable to fix nitrogen, accumulate even higher levels of glyceollin and do so beginning 21 days postinoculation even though these nodules contain no recoverable bacteria. The typical phytoalexin response occurs within days of infection. The mechanism by which this response in theBradyrhizobium japonicum-soybean combination is delayed 2 to 3 weeks after infection is presently unknown but phytoalexin accumulation could contribute to the inability of the soybean-Bradyrhizobium japonicum combination to maintain high levels of nitrogen fixation throughout the growing season.
    Type of Medium: Electronic Resource
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