Rate-controlled rectal drug delivery in man with a hydrogel preparation

Cylindrical hydrogels of hydroxyethyl methacrylate (HEMA) and ethylene glycol dimethacrylate (EGDMA) as crosslinking agent were prepared by radical polymerization at 70°C. After washing they were soaked in an aqueous drug solution of antipyrine or theophylline. The in vitro drug release experiments were performed in 100 ml isotonic glucose at 37°C. Rectal administration of a hydrogel preparation containing antipyrine was performed in two subjects for 72 h. With a theophylline-containing hydrogel preparation rectal drug administration was performed in six volunteers for 24 h. Plasma and saliva samples were taken regularly and the in vivo drug release was determined by means of a deconuolution procedure. In vitro 1.12g antipyrine had been released according to a matrix-type profile for 72 h, whereas it was calculated that this was 1.13 and 1.09 g in vivo in the two subjects. The release profile in vivo was very similar to that in vitro. The theophylline hydrogel preparation released in vitro a total of 288 ± 6 mg of drug in 24 h and in vivo this amount was calculated to be 288 ± 11 mg (mean ± s.d.). Near-constant plasma theophylline concentrations were obtained after administering the hydrogel preparation. In all six subjects the cumulative drug profile was in almost perfect agreement with that observed in vitro. Hydrogels offer interesting perspectives as rate-controlled rectal drug delivery systems because of the predictable release profile in vivo on the basis of observations in a simple in vitro model

Detecting Compromised Implicit Association Test Results Using Supervised Learning

An implicit association test is a human psychological test used to measure subconscious associations. While widely recognized by psychologists as an effective tool in measuring attitudes and biases, the validity of the results can be compromised if a subject does not follow the instructions or attempts to manipulate the outcome. Compared to previous work, we collect training data using a more generalized methodology. We train a variety of different classifiers to identify a participant's first attempt versus a second possibly compromised attempt. To compromise the second attempt, participants are shown their score and are instructed to change it using one of five randomly selected deception methods. Compared to previous work, our methodology demonstrates a more robust and practical framework for accurately identifying a wide variety of deception techniques applicable to the IAT.Comment: 6 pages, 1 figur

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