Abstract: A seat restraint system holds a user to a seating rig using multiple restraints. These restraints can be released simultaneously using a release actuation system, thereby quickly freeing the user from the seating rig. Certain types of restraints are extendable relative to the seating rig between retracted and extended positions to facilitate freedom of movement of the user. The release actuation system allows the restraints to extend without unintentional actuation of the release mechanism. The release actuation system allows the restraints to be released regardless of the position (e.g., retracted, extended, therebetween) of the extendable restraints.

Abstract: A system can present a first graph visual representation of data of a first database in a first user interface. The system can receive user data at the first user interface that is indicative of interacting with the first graph visual representation of the data. The system can determine graph metadata for the data of the first database from the user data. The system can store the graph metadata in a second database, wherein the first database is separate from the second database. The system can determine a second graph visual representation that comprises a combination of the data of the first database and the graph metadata of the second database. The system can present the second graph visual representation in a second user interface, wherein the second user interface comprises the first user interface or another user interface other than the first user interface.

Abstract: A system can determine, from a video of an online session, respective bounding boxes of text names of people, wherein the text names are presented in the video, and wherein images of the people are present in the video. The system can determine, from the video, respective faces of the people. The system can associate a first bounding box of the bounding boxes with a first face of the faces based on the first bounding box satisfying a function of distance with respect to the first face among the faces. The system can extract a name from the first bounding box via optical character recognition. The system can extract a subportion of the video that comprises the first face. The system can store an association between the name and the subportion of the video that comprises the first face.

Abstract: A system can identify time-series bio telemetry data that corresponds to a first user of an online session, wherein the time-series bio telemetry data identifies a first user engagement of the first user. The system can identify a first video recording of the online session, wherein the first video recording is representative of a first video of the first user. The system can input the time-series bio telemetry data and the first video recording as a first input to a neural network model to produce a trained neural network model, wherein the trained neural network model is configured to classify a second user engagement from a second video recording representative of a second video of a second user. The system can classify the second user engagement of the second user comprising inputting the second video recording as a second input to the trained neural network model.

Abstract: A system can, in response to determining to capture bio telemetry data associated with client devices, synchronize respective second clock times of respective client devices with a first clock time maintained by a network time protocol server, wherein the respective client devices are configured to capture the bio telemetry data of respective users associated with the client devices, wherein the respective users are associated with respective user accounts. The system can synchronize the bio telemetry data of the respective users based the respective second clock times.

Abstract: A system can identify time-series bio telemetry data that corresponds to a first user of an online session, wherein the time-series bio telemetry data identifies a first user engagement of the first user. The system can identify a first video recording of the online session, wherein the first video recording is representative of a first video of the first user. The system can input the time-series bio telemetry data and the first video recording as a first input to a neural network model to produce a trained neural network model, wherein the trained neural network model is configured to classify a second user engagement from a second video recording representative of a second video of a second user. The system can classify the second user engagement of the second user comprising inputting the second video recording as a second input to the trained neural network model.

Abstract: A system can receive a database query that is associated with a user account and that is directed to a first database that stores graph data. The system can determine, based on information received from a second database, whether the user account has authorization to make the database query, wherein the second database stores graph metadata information about the first database, and wherein a schema of the second database corresponds to data entities of the first database and relations between respective data entries of the first database. The system can in response to determining from the second database that the user account has the authorization to make the database query, perform the database query with respect to the first database to produce a query result, and return the database query result to be accessible via a device associated with authenticated use of the user account.

Abstract: A system can, in response to determining to capture bio telemetry data associated with client devices, synchronize respective second clock times of respective client devices with a first clock time maintained by a network time protocol server, wherein the respective client devices are configured to capture the bio telemetry data of respective users associated with the client devices, wherein the respective users are associated with respective user accounts. The system can synchronize the bio telemetry data of the respective users based the respective second clock times.

Abstract: A system can present a first graph visual representation of data of a first database in a first user interface. The system can receive user data at the first user interface that is indicative of interacting with the first graph visual representation of the data. The system can determine graph metadata for the data of the first database from the user data. The system can store the graph metadata in a second database, wherein the first database is separate from the second database. The system can determine a second graph visual representation that comprises a combination of the data of the first database and the graph metadata of the second database. The system can present the second graph visual representation in a second user interface, wherein the second user interface comprises the first user interface or another user interface other than the first user interface.

Abstract: A system can determine, from a video of an online session, respective bounding boxes of text names of people, wherein the text names are presented in the video, and wherein images of the people are present in the video. The system can determine, from the video, respective faces of the people. The system can associate a first bounding box of the bounding boxes with a first face of the faces based on the first bounding box satisfying a function of distance with respect to the first face among the faces. The system can extract a name from the first bounding box via optical character recognition. The system can extract a subportion of the video that comprises the first face. The system can store an association between the name and the subportion of the video that comprises the first face.

Abstract: A system can receive respective bio telemetry data from a group of people in an online session, wherein the bio telemetry data comprises alpha wave data and beta wave data. The system can determine a current moving average for the current time period based on a numerical combination of respective beta wave data of the bio telemetry data and respective alpha wave data of the bio telemetry data, wherein the numerical combination is scaled by a first weighting value, wherein the current moving average is decreased by a previous moving average for a previous time period, and wherein the previous moving average is scaled by a second weighting value. The system can, in response to determining that attentiveness by the group of people has decreased based on the previous moving average being greater than the current moving average, sending attentiveness notification data directed to an instructor user account.

Abstract: An information handling system is provided for extracting data associated with a data field of a database from a randomly formatted source document. A processor of the information handling system receives the document, embeds a text-based representation of text of the document into vector data associated with the text, and encodes the vector data through a first neural network into reconstructed text activations. The processor further concatenates the vector data with an image-based representation of the document to provide first concatenated data, and encodes the first concatenated data through a second neural network into extracted visual feature activations. The processor further concatenates the reconstructed text activations with the extracted visual feature activations to provide second concatenated data, decodes the second concatenated data to identify particular data associated with the data field, and updates an entry of the database with the particular data in the data field.

Abstract: An information handling system is provided for extracting data associated with a data field of a database from a randomly formatted source document. A processor of the information handling system receives the document, embeds a text-based representation of text of the document into vector data associated with the text, and encodes the vector data through a first neural network into reconstructed text activations. The processor further concatenates the vector data with an image-based representation of the document to provide first concatenated data, and encodes the first concatenated data through a second neural network into extracted visual feature activations. The processor further concatenates the reconstructed text activations with the extracted visual feature activations to provide second concatenated data, decodes the second concatenated data to identify particular data associated with the data field, and updates an entry of the database with the particular data in the data field.

Abstract: Solar cells with silicon oxynitride dielectric layers and methods of forming silicon oxynitride dielectric layers for solar cell fabrication are described. For example, an emitter region of a solar cell includes a portion of a substrate having a back surface opposite a light receiving surface. A silicon oxynitride (SiOxNy, 0<x, y) dielectric layer is disposed on the back surface of the portion of the substrate. A semiconductor layer is disposed on the silicon oxynitride dielectric layer.

Abstract: A method of preventing soil erosion in, among areas, seaside locations, includes drilling holes in the ground and filling the holes with a mixture of the soil and gelatin, and then curing the mixture in situ to form a barrier against soil erosion.

Abstract: A method of preventing soil erosion in, among areas, seaside locations, includes drilling holes in the ground and filling the holes with a mixture of the soil and gelatin, and then curing the mixture in situ to form a barrier against soil erosion.

Abstract: Soil erosion in, among other areas, seaside locations, is prevented by the steps of: drilling holes in the ground; filling these holes with a mixture of the soil and gelatin, then curing the mixture in situ to form a barrier against soil erosion. The holes form stabilization walls and are placed seaside to a structure to be protected from erosion.

Abstract: The present invention relates to a resilient material lined stator and method of forming. A method of forming a resilient material lined stator can include disposing a resilient material tube 400 with a profiled helical inner surface 401 into the bore of a body 420. A cast material 410 can be disposed therebetween. The cast material 410 can bond to the body 420 to form a resilient material lined stator or the body 420 can be removed. The cast material 310 can include a conduit 312 or conductor 314 extending therethrough. The cast material 310 can include a pathway 316 formed therethrough. The resilient material can be an elastomer.

Abstract: Solar cells with silicon oxynitride dielectric layers and methods of forming silicon oxynitride dielectric layers for solar cell fabrication are described. For example, an emitter region of a solar cell includes a portion of a substrate having a back surface opposite a light receiving surface. A silicon oxynitride (SiOxNy, 0<x, y) dielectric layer is disposed on the back surface of the portion of the substrate. A semiconductor layer is disposed on the silicon oxynitride dielectric layer.

Abstract: In accordance with the present disclosure, a dynamic random access memory (DRAM) component is described. The DRAM component may comprise an integrated circuit, with the integrated circuit including an array of volatile memory cells. A first volatile memory cells of the array of volatile memory cells may be defective. The integrated circuit may also include non-volatile memory, and the non-volatile memory may contain a reference to the first volatile memory cell.