Abstract: Methods and systems of assessing aggregate sentiment over a plurality of time increments of a time period are provided. A maximum aggregation factor that is associated with a particular time period is assigned. A plurality of time increments over the time period are received. For each time increment, the BISV is subtracted from the ISV to form a BISV/ISV difference value. The BISV/ISV difference value is normalized by dividing by the maximum possible difference, thereby determining a modulator. For each time increment, a value is assigned to a recency of the particular time increment to a most recent incremental sentiment value update event, thereby determining a decay factor. The maximum aggregation factor associated with a particular time period is modulated by multiplying a determined modulator and a determined decay factor associated with each time increment within the evaluated time interval.

Abstract: Methods and systems of assessing aggregate sentiment over a plurality of time increments of a time period are provided. A maximum aggregation factor that is associated with a particular time period is assigned. A plurality of time increments over the time period are received. For each time increment, the BISV is subtracted from the ISV to form a BISV/ISV difference value. The BISV/ISV difference value is normalized by dividing by the maximum possible difference, thereby determining a modulator. For each time increment, a value is assigned to a recency of the particular time increment to a most recent incremental sentiment value update event, thereby determining a decay factor. The maximum aggregation factor associated with a particular time period is modulated by multiplying a determined modulator and a determined decay factor associated with each time increment within the evaluated time interval.

Abstract: Systems and methods are provided for identifying meta-events. A plurality of event items are received over a given period of time. The plurality of event items are analyzed to determine one or more areas of interests. One or more characteristics of the plurality of events items is measured. The measured number of event items within the particular area of interest within the given time period are compared against a measured number of even items within the particular area of interest within a previous time period. It is determined that a meta-event has occurred when the difference between the measured number of event items within the particular area of interest compared to the measured number of items within the particular area of interest within a previous time period exceeds a threshold measure of event items.

Abstract: Systems and methods are provided for determining and displaying an indicator of crowd-based sentiments for an entity. Observers may provide feedback regarding various categories/metrics for the entity, which may be used to calculate a score representative of the crowd-based sentiment for the entity.

Abstract: A computer or other digital circuitry is used to assist in the creation of a digital model of an individual component, such as a tooth or gum tissue, in a patient's dentition. The computer receives a data set that forms a three-dimensional (3D) representation of the patient's dentition, applies a test to the data set to identify data elements that represent portions of the individual component, and creates a digital model of the individual component based upon the identified data elements. Many implementations require the computer to identify data elements representing a 2D cross-section of the dentition lying in a 2D plane that is roughly parallel to or roughly perpendicular to the dentition's occlusal plane. The computer analyzes the 2D cross-section to identify dentition features that represent boundaries between individual dentition components.

Abstract: Methods and corresponding apparatus for segmenting an orthodontic treatment path into clinically appropriate substeps for repositioning the teeth of a patient include providing a digital finite element model of the shape and material of each of a sequence of appliances to be applied to a patient; providing a digital finite element model of the teeth and related mouth tissue of the patient; computing the actual effect of the appliances on the teeth by analyzing the finite elements models computationally; and evaluating the effect against clinical constraints. The appliances can be braces, polymeric shells, or other forms of orthodontic appliance.

Abstract: A system for removing hydrocarbons from solid materials. Contaminated solids are combined with a solvent (preferably terpene based) to produce a mixture. The mixture is washed with water to generate a purified solid product (which is removed from the system) and a drainage product. The drainage product is separated into a first fraction (consisting mostly of contaminated solvent) and a second fraction (containing solids and water). The first fraction is separated into a third fraction (consisting mostly of contaminated solvent) and a fourth fraction (containing residual solids and water). The fourth fraction is combined with the second fraction to produce a sludge which is separated into a fifth fraction (containing water which is ultimately reused) and a sixth fraction (containing solids). The third fraction is then separated into a seventh fraction (consisting of recovered solvent which is ultimately reused) and an eighth fraction (containing hydrocarbon waste).

Abstract: A system for removing hydrocarbons from solid materials. Contaminated solids are combined with a solvent (preferably terpene based) to produce a mixture. The mixture is washed with water to generate a purified solid product (which is removed from the system) and a drainage product. The drainage product is separated into a first fraction (consisting mostly of contaminated solvent) and a second fraction (containing solids and water). The first fraction is separated into a third fraction (consisting mostly of contaminated solvent) and a fourth fraction (containing residual solids and water). The fourth fraction is combined with the second fraction to produce a sludge which is separated into a fifth fraction (containing water which is ultimately reused) and a sixth fraction (containing solids). The third fraction is then separated into a seventh fraction (consisting of recovered solvent which is ultimately reused) and an eighth fraction (containing hydrocarbon waste).