Abstract: Compounds and methods for inhibiting STAT3.

Abstract: An electric pushback vehicle includes a frame having a forward portion and a rear portion. The vehicle further includes front drive axle and a rear drive axle configured to communicate power to ground engaging members. A traction battery is housed within the electric pushback vehicle and provides electric power to an electric motor to drive an output shaft. A transmission is connected to receive mechanical power from the electric motor through a torque converter.

Abstract: In some implementations, a server may receive, from a user device, one or more credentials associated with a user. Accordingly, the server may transmit, to the user device, instructions for generating a user interface including a plurality of visual components based on authenticating the user with the one or more credentials. The server may detect, during a first interval, a lack of interaction with the user interface. Accordingly, the server may remove one of the plurality of visual components from the user interface based on the lack of interaction. Additionally, the server may detect, during a second interval, one or more interactions with the user interface and may update a similarity score associated with the user based on properties associated with the one or more interactions. Accordingly, the server may restore the visual component to the user interface based on the updated similarity score satisfying a similarity threshold.

Abstract: A pocket coil spring assembly is provided that includes a coil spring having an upper portion and a lower portion collectively defining an interior cavity of the coil spring. The pocket coil spring assembly further includes a fabric pocket encasing the coil spring with a top area covering the upper portion of the coil spring and a bottom area covering the lower portion of the coil spring. A discrete amount of flexible foam is poured on the top of the fabric pocket such that a top surface of the flexible foam extends above the coil spring. A mattress assembly is further provided that includes the flexible foam dispensed in continuous or discrete amounts between rows of pocket coil springs.

Abstract: An electric pushback vehicle includes a frame having a forward portion and a rear portion. The vehicle further includes front drive axle and a rear drive axle configured to communicate power to ground engaging members. A traction battery is housed within the electric pushback vehicle and provides electric power to an electric motor to drive an output shaft. A transmission is connected to receive mechanical power from the electric motor through a torque converter.

Abstract: The present invention relates to a kit used to configure, assemble, and reassemble play set apparatuses. More specifically, the present invention relates to a kit with several components which may be used in conjunction with one or more other components to form play set apparatuses. Still more specifically, the present invention relates to a kit with components that may be configured to form play set apparatuses including but not limited to a balance beam, a seesaw, a chair, a slide, and a rocking device.

Abstract: A system detects the occurrence of a vehicle event designated as a trigger. The system obtains interaction data, representing user interface interactions with a user interface of a vehicle, recorded by the vehicle for a predefined time period leading to the event. Further, the system, for any obtained interaction data, compares the data to historical data indicating interactions with a user interface prior to previous events comparable to the detected event to determine whether there is at least one correlation between user interface interaction and the occurrence of events comparable to the detected event and, responsive to a determined correlation, instructs modification of an aspect of the user interface of the vehicle, the aspect associated with interactions represented by the interaction data.

Abstract: An electric pushback vehicle includes a frame having a forward portion and a rear portion. The vehicle further includes front drive axle and a rear drive axle configured to communicate power to ground engaging members. A traction battery is housed within the electric pushback vehicle and provides electric power to an electric motor to drive an output shaft. A transmission is connected to receive mechanical power from the electric motor through a torque converter.

Abstract: A system is provided for classifying an instruction sequence with a machine learning model. The system may include at least one processor and at least one memory. The memory may include program code that provides operations when executed by the at least one processor. The operations may include: processing an instruction sequence with a trained machine learning model configured to detect one or more interdependencies amongst a plurality of tokens in the instruction sequence and determine a classification for the instruction sequence based on the one or more interdependencies amongst the plurality of tokens; and providing, as an output, the classification of the instruction sequence. Related methods and articles of manufacture, including computer program products, are also provided.

Abstract: The present invention relates to a kit used to configure, assemble, and reassemble play set apparatuses. More specifically, the present invention relates to a kit with several components which may be used in conjunction with one or more other components to form play set apparatuses. Still more specifically, the present invention relates to a kit with components that may be configured to form play set apparatuses including but not limited to a balance beam, a seesaw, a chair, a slide, and a rocking device.

Abstract: The pipe ball joint includes a casing having a socket portion with a substantially spherical interior surface and a first pipe segment extending from the socket portion. The socket portion has an annular groove disposed adjacent the partially spherical interior surface. A ball pipe section includes a ball segment received in the socket portion of the casing and a second pipe segment extending from the ball segment. A seal assembly is received in the annular groove of the casing and is disposed against the ball segment of the ball pipe section. The seal assembly includes a plurality of nested seal rings that each include a concave face and a convex face.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for generation and management of controlled-use resources which allow the sender of an electronic resource transfer to limit the ways in which the recipient may use the received resources. This invention allows the sender to maintain control over the products or services purchased with transferred resources, as well as personalize a transfer for a recipient by selecting a favorite merchant or spending category of the recipient. The invention may also benefit a plurality of merchants and other third party entities which may obtain new customers as a result of said customers receiving controlled-use resources designated for said merchants.

Abstract: In one respect, there is provided a system for training a machine learning model to detect malicious container files. The system may include at least one processor and at least one memory. The at least one memory may include program code that provides operations when executed by the at least one processor. The operations may include: training, based on a training data, a machine learning model to enable the machine learning model to determine whether at least one container file includes at least one file rendering the at least one container file malicious; and providing the trained machine learning model to enable the determination of whether the at least one container file includes at least one file rendering the at least one container file malicious. Related methods and articles of manufacture, including computer program products, are also disclosed.

Abstract: The pipe ball joint includes a casing having a socket portion with a substantially spherical interior surface and a first pipe segment extending from the socket portion. The socket portion has an annular groove disposed adjacent the partially spherical interior surface. A ball pipe section includes a ball segment received in the socket portion of the casing and a second pipe segment extending from the ball segment. A seal assembly is received in the annular groove of the casing and is disposed against the ball segment of the ball pipe section. The seal assembly includes a plurality of nested seal rings that each include a concave face and a convex face.

Abstract: A system is provided for classifying an instruction sequence with a machine learning model. The system may include at least one processor and at least one memory. The memory may include program code that provides operations when executed by the at least one processor. The operations may include: processing an instruction sequence with a trained machine learning model configured to detect one or more interdependencies amongst a plurality of tokens in the instruction sequence and determine a classification for the instruction sequence based on the one or more interdependencies amongst the plurality of tokens; and providing, as an output, the classification of the instruction sequence. Related methods and articles of manufacture, including computer program products, are also provided.

Abstract: In one respect, there is provided a system for classifying an instruction sequence with a machine learning model. The system may include at least one processor and at least one memory. The memory may include program code that provides operations when executed by the at least one processor. The operations may include: processing an instruction sequence with a trained machine learning model configured to detect one or more interdependencies amongst a plurality of tokens in the instruction sequence and determine a classification for the instruction sequence based on the one or more interdependencies amongst the plurality of tokens; and providing, as an output, the classification of the instruction sequence. Related methods and articles of manufacture, including computer program products, are also provided.

Abstract: In one respect, there is provided a system for training a neural network adapted for classifying one or more instruction sequences. The system may include at least one processor and at least one memory. The memory may include program code which when executed by the at least one processor provides operations including: training, based at least on training data, a machine learning model to detect one or more predetermined interdependencies amongst a plurality of tokens in the training data; and providing the trained machine learning model to enable classification of one or more instruction sequences. Related methods and articles of manufacture, including computer program products, are also provided.

Abstract: Centroids are used for improving machine learning classification and information retrieval. A plurality of files are classified as malicious or not malicious based on a function dividing a coordinate space into at least a first portion and a second portion such that the first portion includes a first subset of the plurality of files classified as malicious. One or more first centroids are defined in the first portion that classify files from the first subset as not malicious. A file is determined to be malicious based on whether the file is located within the one or more first centroids.

Abstract: In one respect, there is provided a system for training a machine learning model to detect malicious container files. The system may include at least one processor and at least one memory. The memory may include program code which when executed by the at least one processor provides operations including: processing a container file with a trained machine learning model, wherein the trained machine learning is trained to determine a classification for the container file indicative of whether the container file includes at least one file rendering the container file malicious; and providing, as an output by the trained machine learning model, an indication of whether the container file includes the at least one file rendering the container file malicious. Related methods and articles of manufacture, including computer program products, are also disclosed.