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  • 1995-1999  (2)
  • 1955-1959
  • 1997  (2)
  • Classification Problems  (1)
  • Neural Networks  (1)
  • bioavailability  (1)
  • 1
    Digitale Medien
    Digitale Medien
    Springer
    European journal of clinical pharmacology 52 (1997), S. 307-310 
    ISSN: 1432-1041
    Schlagwort(e): Key words Artemether ; Thai males; malaria ; dihydroartemisinin ; pharmacokinetics ; bioavailability
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Chemie und Pharmazie , Medizin
    Notizen: Abstract Objective: The pharmacokinetics and bioavailability of artemether and dihydroartemisinin were investigated in eight Thai males following the administration of single oral and intramuscular doses of artemether (300 mg) in a randomized two-way cross-over study. Results: Both oral and intramuscular artemether were well-tolerated. In most cases, artemether and dihydroartemisinin were detected in plasma after 30 min and declined to levels below the limit of detection within 18–24 h. Compared with intramuscular administration, oral administration of artemether resulted in a relatively rapid but incomplete absorption [Cmax: 474 vs 540 ng · ml−1; t max: 2.0 vs 3.9 h; AUC: 2.17 vs 5.20 μg · h · ml−1]. Geographic means of lag-time and absorption half-life (t 1/2a) of oral vs intramuscular artemether were 0.28 and 1.1 h vs 0.30 and 2 h, respectively. t 1/2z was significantly shortened after the oral dose [2.8 vs 6.9 h]. Mean oral bioavailability relative to intramuscular administration was 43.2%. The ratio of the AUCs of artemether to dihydroartemisinin was significantly lower after the oral than after the intramuscular dose (geometric mean: 0.29 vs 0.60).
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    ISSN: 1573-7497
    Schlagwort(e): Neural Networks ; Boltzmann Machines ; High Order networks ; Classification Problems
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Informatik
    Notizen: Abstract This work reports the results obtained with the application of High Order Boltzmann Machines without hidden units to construct classifiers for some problems that represent different learning paradigms. The Boltzmann Machine weight updating algorithm remains the same even when some of the units can take values in a discrete set or in a continuous interval. The absence of hidden units and the restriction to classification problems allows for the estimation of the connection statistics, without the computational cost involved in the application of simulated annealing. In this setting, the learning process can be sped up several orders of magnitude with no appreciable loss of quality of the results obtained.
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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