Analgesic potency of a new anticonvulsant drug versus acetylsalicylic acid via laser somatosensory evoked potentials. Randomized placebo-controlled double-blind (5-way) crossover study
A randomized, double-blind crossover study was performed with three different acute oral dosages of CM 40907 (3-(4-hydroxypiperidyl)-6-(2'-chlorophenyl)-pyridazine)(600, 900 and 1200 mg), a newly developed anticonvulsant drug, vs acetylsalicylic acid (ASA, 1000 mg) and placebo in 12 male healthy volunteers to check analgesic potency. Objective algesimetry was done by Laser Somatosensory Evoked Potentials (LSEP). Subjective pain intensities were measured by retrospective visual analog scale ratings (VAS). Effects on objective vigilance were checked by Auditory Evoked Potentials (AEP)
Subspace learning algorithms have been well studied in face recognition. Among them, linear discriminant analysis (LDA) is one of the most widely used supervised subspace learning method. Due to the difficulty of designing an incremental solution of the eigen decomposition on the product of matrices, there is little work for computing LDA incrementally. To avoid this limitation, an incremental supervised subspace learning (ISSL) algorithm was proposed, which incrementally learns an adaptive subspace by optimizing the maximum margin criterion (MMC). With the dynamically added face images, ISSL can effectively constrain the computational cost. Feasibility of the new algorithm has been successfully tested on different face data sets.