Abstract: Disclosed are embodiments of a dough proofer for a commercial bakery that can receive dough pieces from a dough divider onto trays. Each tray has cups that hold dough pieces. The trays are moved through the proofer by a conveyor system. The proofer has a checkweigher. The checkweigher also uses the same conveyor system and has (1) a tray tipper that tips a tray of dough pieces to make the dough pieces fall out of the tray; (2) a row of gates under the tray to receive and hold the dough pieces and release the dough pieces so that they fall back into their original cups and tray; (3) a row of load cells associated with gates that produces weight data indicative of dough piece weights; and (4) a controller that controls the divider based upon the weight data so that the dough pieces exhibit a substantially uniform target weight.

Abstract: A system and method for preprocessing magnetic resonance spectroscopy (MRS) data of brain tissue for pattern-based diagnostics is disclosed. The MRS preprocessing system includes an MRS preprocessing module that executes an operation that normalizes MRS spectrum data, recalibrates and scales the normalized MRS spectrum data, and then renormalizes the scaled MRS spectrum data. The resulting preprocessed MRS data is used to assist in identifying abnormalities in tissues shown in MRS scans.

Abstract: A system and method for preprocessing magnetic resonance spectroscopy (MRS) data of brain tissue for pattern-based diagnostics is disclosed. The MRS preprocessing system includes an MRS preprocessing module that executes an operation that normalizes MRS spectrum data, recalibrates and scales the normalized MRS spectrum data, and then renormalizes the scaled MRS spectrum data. The resulting preprocessed MRS data is used to assist in identifying abnormalities in tissues shown in MRS scans.

Abstract: A system and method for preprocessing magnetic resonance spectroscopy (MRS) data of brain tissue for pattern-based diagnostics is disclosed. The MRS preprocessing system includes an MRS preprocessing module that executes an operation that normalizes MRS spectrum data, recalibrates and scales the normalized MRS spectrum data, and then renormalizes the scaled MRS spectrum data. The resulting preprocessed MRS data is used to assist in identifying abnormalities in tissues shown in MRS scans.

Abstract: The compositions and methods disclosed herein utilize admixtures of neurotoxins to cause denervation which is unexpectedly more localized and of longer duration than otherwise occurs with single neurotoxins. The compositions and methods of the invention utilize neurotoxin admixtures calibrated in median paralysis units rather than LD.sub.50 s. Admixtures of neurotoxins include, but are not limited to, the botulinum serotypes A-G and tetanus toxin. The clinical benefits of the disclosed invention include: lengthening intervals between neurotoxin treatments; reducing adverse immunogenic responses to neurotoxins; and, reducing adverse diffusion-dependent side-effects of neurotoxin treatments.