Abstract: Devices and methods for compaction of an asymmetric load are disclosed herein. In some embodiments, a movable upper structure is connected to a stationary base structure through front end pivot linkages and rear end pivot linkages. One or more actuators impart motion to the upper structure. The motion of the upper structure is controlled by adjusting the length and position of the pivot linkages. In other embodiments, the pivot linkages are attached to a pull arm that is attached to an actuator, and the pull arm imparts motion to the upper structure.

Abstract: Systems and methods are provided by which information such as text may be extracted from a captured digital image, and displayed as an editable overlay over the captured digital image in a digital user interface. One or more boundaries defining a region or regions of the captured digital image from which information is extracted may be displayed over the captured digital image, and may be selectively added, edited, or deleted, resulting in corresponding information in the editable overlay being added, edited, or deleted. Additionally, information in the editable overlay may be added, edited, or deleted directly. The extracted information may correspond to responses to a homework assignment or test depicted in the captured digital image. The extracted information may be arranged in ordered steps, with the order of the steps being editable, and individual steps being removable, addable, or otherwise editable via interaction with the user interface.

Abstract: Methods and systems for managing interactive features associated with multimedia content are disclosed. One method includes applying a container to multimedia content using one or more computing systems, the container defining an interface through which metadata external to the multimedia content is linked with one or more portions of the multimedia content. The method further includes receiving a request for the multimedia content from a content consumer. The method also includes associating a set of metadata describing one or more interactive features with the multimedia content, the set of metadata linked to at least a portion of the multimedia content via the container and selected from a database including metadata defining interactive features capable of being associated with the multimedia content. The method also includes, upon receiving a request for playback of the multimedia content, providing the multimedia content and the one or more interactive features to the content consumer.

Abstract: Systems and methods are provided by which information such as text may be extracted from a captured digital image, and displayed as an editable overlay over the captured digital image in a digital user interface. One or more boundaries defining a region or regions of the captured digital image from which information is extracted may be displayed over the captured digital image, and may be selectively added, edited, or deleted, resulting in corresponding information in the editable overlay being added, edited, or deleted. Additionally, information in the editable overlay may be added, edited, or deleted directly. The extracted information may correspond to responses to a homework assignment or test depicted in the captured digital image. The extracted information may be arranged in ordered steps, with the order of the steps being editable, and individual steps being removable, addable, or otherwise editable via interaction with the user interface.

Abstract: Systems and methods for automatic generating of a Bayes net content graph are disclosed herein. The system can include a memory including a mapping matrix. The system can include at least one server. The at least one server can generate a user matrix having n columns and p rows. In some aspects, each of the n columns is associated with a student and each of the p rows is associated with a content item. The at least one server can: store the user matrix in the memory; retrieve the mapping matrix from the memory; iteratively identify prerequisite relationships between the skills identified in the user matrix; generate edges between the skills in the user matrix based on the iteratively identified prerequisite relationships; and orient the edges between the skill.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and methods for automated content delivery and evaluation are disclosed herein. The system can include a memory. The memory can include a content library database including a plurality of problems and data for stepwise evaluation of each of the plurality of problems. The system can include at least one server. The at least one server can automatically decompose a content item into a plurality of potential steps and associate attributes with the potential steps. The at least one server can receive a response from a user for the content item, identify steps in the received response, and select a next action based the identified steps of the received response.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and methods for automated content delivery and evaluation are disclosed herein. The system can include a memory. The memory can include a content library database including a plurality of problems and data for stepwise evaluation of each of the plurality of problems. The system can include at least one server. The at least one server can automatically decompose a content item into a plurality of potential steps and associate attributes with the potential steps. The at least one server can receive a response from a user for the content item, identify steps in the received response, and select a next action based the identified steps of the received response.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: A mesh network system and method for use in an area affected by a natural disaster. The system includes a first network node that has Wi-Fi capability and a first Wi-Fi coverage area. The system also includes at least one second network node, coupled to the first network node, with the at least one second network node having Wi-Fi capability and a second Wi-Fi coverage area outside of the first Wi-Fi coverage area. The first network node and the at least one second network node are coupled together via at least one radio transceiver to form a network route within the mesh network. A first communication device located within the area affected by the natural disaster and operably coupled to the first network node communicates with a second communication device located within the area affected by the natural disaster and coupled to the at least one second network node via the network route within the mesh network.

Abstract: Systems and methods for virtual reality interaction evaluation are disclosed herein. The system can include a memory including: an interaction sub-database containing information relating to user interactions with at least one virtual asset in a virtual environment, and a content library database containing a plurality of virtual assets and information relating to those virtual assets. The system can include at least one server that can determine user engagement with at least one of the plurality of virtual assets, receive data indicative of an interaction with at least one of the plurality of virtual assets, and determine an interaction type of the interaction associated with the received data. The server can perform a speech capture and analysis process, perform a manipulation process, generate an evaluation of the user interactions with the at least one of the plurality of virtual assets, and deliver the generated evaluation.

Abstract: Systems and methods for virtual reality interaction evaluation are disclosed herein. The system can include a memory including: an interaction sub-database containing information relating to user interactions with at least one virtual asset in a virtual environment, and a content library database containing a plurality of virtual assets and information relating to those virtual assets. The system can include at least one server that can determine user engagement with at least one of the plurality of virtual assets, receive data indicative of an interaction with at least one of the plurality of virtual assets, and determine an interaction type of the interaction associated with the received data. The server can perform a speech capture and analysis process, perform a manipulation process, generate an evaluation of the user interactions with the at least one of the plurality of virtual assets, and deliver the generated evaluation.

Abstract: Systems and methods for virtual reality interaction evaluation are disclosed herein. The system can include a memory including: an interaction sub-database containing information relating to user interactions with at least one virtual asset in a virtual environment, and a content library database containing a plurality of virtual assets and information relating to those virtual assets. The system can include at least one server that can determine user engagement with at least one of the plurality of virtual assets, receive data indicative of an interaction with at least one of the plurality of virtual assets, and determine an interaction type of the interaction associated with the received data. The server can perform a speech capture and analysis process, perform a manipulation process, generate an evaluation of the user interactions with the at least one of the plurality of virtual assets, and deliver the generated evaluation.

Abstract: Systems and methods for automatic generating of a Bayes net content graph are disclosed herein. The system can include a memory including a mapping matrix. The system can include at least one server. The at least one server can generate a user matrix having n columns and p rows. In some aspects, each of the n columns is associated with a student and each of the p rows is associated with a content item. The at least one server can: store the user matrix in the memory; retrieve the mapping matrix from the memory; iteratively identify prerequisite relationships between the skills identified in the user matrix; generate edges between the skills in the user matrix based on the iteratively identified prerequisite relationships; and orient the edges between the skill.

Abstract: Systems and methods for automatic generating of a Bayes net content graph are disclosed herein. The system can include a memory including a mapping matrix. The system can include at least one server. The at least one server can generate a user matrix having n columns and p rows. In some aspects, each of the n columns is associated with a student and each of the p rows is associated with a content item. The at least one server can: store the user matrix in the memory; retrieve the mapping matrix from the memory; iteratively identify prerequisite relationships between the skills identified in the user matrix; generate edges between the skills in the user matrix based on the iteratively identified prerequisite relationships; and orient the edges between the skill.