Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An arrangement of particles corresponding to the first entities and the second entities may be generated. Charges associated with the particles may be determined based upon the first network profile. The particles may be rearranged to a second arrangement of particles based upon the charges. One or more clusters of particles in the second arrangement of particles may be identified. One or more coalition networks associated with fraudulent activity may be identified based upon the one or more clusters of particles.

Abstract: Composite materials are described herein. An example composite material may comprise a shell fiber layer. The example composite material may comprise a membrane disposed adjacent the shell fiber layer.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An arrangement of particles corresponding to the first entities and the second entities may be generated. Charges associated with the particles may be determined based upon the first network profile. The particles may be rearranged to a second arrangement of particles based upon the charges. One or more clusters of particles in the second arrangement of particles may be identified. One or more coalition networks associated with fraudulent activity may be identified based upon the one or more clusters of particles.

Abstract: A method and system for recycling wind turbine blades. A scalper scalps off balsa wood and foam from recycled composite chips, a lump breaker shatters the chips produced by the scalper, a hammer mill breaks fiber chips produced by the lump breaker to reduce the chips to strand clusters, a vibratory screen and cyclone air classifier or circular vibratory screener separate strand clusters of acceptable size from larger strand clusters that require repeated processing with a hammer mill, another vibratory screen and cyclone air classifier or circular vibratory screener further separate strand clusters of acceptable size from larger strand clusters that require repeated processing with a hammer mill, and a granulator pulverizes the resulting fiber strand into micro-fibers that can be used as reinforcement fibers.

Abstract: A method and system for recycling wind turbine blades. A scalper scalps off balsa wood and foam from recycled composite chips, a lump breaker shatters the chips produced by the scalper, a hammer mill breaks fiber chips produced by the lump breaker to reduce the chips to strand clusters, a vibratory screen and cyclone air classifier or circular vibratory screener separate strand clusters of acceptable size from larger strand clusters that require repeated processing with a hammer mill, another vibratory screen and cyclone air classifier or circular vibratory screener further separate strand clusters of acceptable size from larger strand clusters that require repeated processing with a hammer mill, and a granulator pulverizes the resulting fiber strand into micro-fibers that can be used as reinforcement fibers.

Abstract: A composite material comprises a first textile layer and a slit layer coupled to the first textile layer. The slit layer comprises a plurality of elongate slits configured to transition from a first state to a second state when actuated. The first state provides a first air permeability of less than about 10 cubic feet per minute (CFM) and the second state provides a second air permeability of greater than about 10 CFM.

Abstract: Articles are described herein. An example article may comprise a first surface comprising a first lattice. The example article may comprise a second surface at least partially spaced from the first surface. The second surface may comprise a second lattice. The first surface and the second surface may define a cavity therebetween. The first surface and the second surface may be formed as a unitary body. A configuration of the first interconnected struts, the second interconnect struts, and the third struts may be tunable to control a stiffness and ventilation of the example article.

Abstract: A support structure for a whey draining belt includes a beam formed of a metal material, and a slide plate formed of a plastic material and fixedly connectable to an upper part of the beam for allowing the whey draining belt to slide over the slide plate.

Abstract: Embodiments of a strength training apparatus and related methods are provided. In one embodiment, a strength training apparatus may include a tower, a first arm and a second arm each pivotally coupled with the tower and each being configured to be selectively positionable independent of each other at multiple angles relative to each other, a first pulley coupled to an end of the first arm, a first cable extending through the first arm and the first pulley, a second pulley coupled to an end of the second arm, a second cable extending through the second arm and the second pulley, a magnetic mechanism coupled to the first cable and the second cable and configured to provide multiple levels of resistance to a user pulling on the first cable and/or the second cable, and a control panel located on the tower.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An arrangement of particles corresponding to the first entities and the second entities may be generated. Charges associated with the particles may be determined based upon the first network profile. The particles may be rearranged to a second arrangement of particles based upon the charges. One or more clusters of particles in the second arrangement of particles may be identified. One or more coalition networks associated with fraudulent activity may be identified based upon the one or more clusters of particles.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An iterative process may be performed to identify a coalition network associated with fraudulent activity. The iterative process may include analyzing the first network profile to identify a first set of entities, of the first entities, that are related to an entity of the second entities, and/or analyzing the first network profile to identify a second set of entities, of the second entities, that are related to the first set of entities. Multiple iterations may be performed to identify the coalition network.

Abstract: Aspects described herein relate to three-dimensional (3D) characters and rapidly generating 3D characters from a plurality of 3D source models. In generating the 3D characters, one or more 3D source models may be standardized, applied to a base mesh with material ID assignments, and decomposed to isolate particular polygonal mesh pieces and/or texture map feature selections denoted by the material IDs of the base mesh. The disparate isolated polygonal mesh pieces and/or texture map feature selections may be assembled in a modular fashion to compose unique 3D characters unlike any of those of the one or more 3D models. The 3D characters may be further refined through the addition of features and/or accessories, and may also be processed through machine learning algorithms to further ascertain uniqueness.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An iterative process may be performed to identify a coalition network associated with fraudulent activity. The iterative process may include analyzing the first network profile to identify a first set of entities, of the first entities, that are related to an entity of the second entities, and/or analyzing the first network profile to identify a second set of entities, of the second entities, that are related to the first set of entities. Multiple iterations may be performed to identify the coalition network.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An arrangement of particles corresponding to the first entities and the second entities may be generated. Charges associated with the particles may be determined based upon the first network profile. The particles may be rearranged to a second arrangement of particles based upon the charges. One or more clusters of particles in the second arrangement of particles may be identified. One or more coalition networks associated with fraudulent activity may be identified based upon the one or more clusters of particles.

Abstract: An adjustable dumbbell includes weight plates that are selectively connectable to a handle. Unselected weight plates are secured to a cradle. To secure the unselected weight plates to the cradle, a latch in the cradle is inserted into an engagement surface notch in the weight plate. The unselected weight plates are individually actuated based on which weight plates are selected and connected to the handle.

Abstract: One or more computing devices, systems, and/or methods are provided. First event information associated with a plurality of events may be determined, wherein the plurality of events is associated with a first entity. A set of event metrics associated with the first entity may be determined based upon the first event information. A first combined metric may be determined based upon at least two metrics of the set of event metrics. Whether the first entity is fraudulent may be determined based upon the first combined metric and a threshold metric associated with anomalous behavior.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with first entities corresponding to a first entity type and second entities associated with a second entity type. A first network profile associated with the first entities and the second entities may be generated based upon the event information. An iterative process may be performed to identify a coalition network associated with fraudulent activity. The iterative process may include analyzing the first network profile to identify a first set of entities, of the first entities, that are related to an entity of the second entities, and/or analyzing the first network profile to identify a second set of entities, of the second entities, that are related to the first set of entities. Multiple iterations may be performed to identify the coalition network.

Abstract: Down-proof baffles are described herein. An example down-proof baffle may comprise composite material. The composite material may be or comprise the shell of the example down-proof baffle. The example composite material may comprise a membrane disposed adjacent one or more layers.

Abstract: An adjustable dumbbell includes weight plates that are selectively connectable to a handle. Unselected weight plates are secured to a cradle. To secure the unselected weight plates to the cradle, a latch in the cradle is inserted into an engagement surface notch in the weight plate. The unselected weight plates are individually actuated based on which weight plates are selected and connected to the handle.

Abstract: A method of simulating an emergency response training scenario to users in different locations, including customizing a scenario, initiating a game state having a threat level and a time remaining, assigning a role to each of a plurality of users wherein each of the users uses a device, assigning digital assets within the scenario to each of the users, displaying an introduction sequence, initiating an incident and simultaneously notifying a first group of at least two users, logging and scoring a chosen response from the possible responses compared to a scoring system, updating the game state whereby the threat level is raised or lowered and the time remaining is increased or decreased, triggering another event to at least two of the plurality of users, and communicating a score calculated in the logging and scoring step to at least one user on one of the at least one client device.