Abstract: An apparatus including a wrist band that encircles the wrist of a human user, a processor of the wrist band that wirelessly monitors a cellphone carried by the human user for a notification of a message and a type of message received by the cellphone and a vibrating element of the wrist band having a plurality of different activation patterns saved in a memory that notifies the human user via a vibration pattern as to the type of message received by retrieving and executing one of the plurality of different activation patterns based upon the type of message received.

Abstract: Methods for treating perioral dermatitis are described herein. The method includes administering topically a composition containing an effective amount of a systemic or topical antibiotic and a corticosteroid. The concentration of the antibiotic is from about 0.01% to about 5% by weight of the composition and the concentration of the corticosteroid is from about 0.01% to about 5% by weight of the composition. The composition can contain one or more pharmaceutically acceptable excipients and/or carriers. The compositions can be formulated as a lotion, cream, gel, ointment, paste, powder, solution, suspension, spray, foam, or patch.

Abstract: In a digital signal processor (DSP), input data is configured as a data matrix comprising data samples collected from an input signal. A weight vector is applied to the matrix, where the weight vector comprises three parts including (a) a rank reduction transformation produced by decomposition of data samples in a multistage Wiener filter having a plurality of stages, each stage comprising projection onto two subspaces. Each subsequent stage comprises projecting data transformed by the preceding second subspace onto each of a first subspace comprising a normalized cross-correlation vector at the previous stage and a second subspace comprising the null space of the normalized cross-correlation vector of the current stage, to form a reduced rank data matrix. Part (b) of the weight vector comprises minimizing mean squared error in the reduced rank data space. The output is a linear estimate of input data.