Abstract: Provided herein are methods and compositions for a probiotic composition comprising at least one probiotic strain selected based on gas production resulting from digestion of a specific food, food product, food ingredient or food component to reduce the amount of gas and or bloating produced when a subject consumes the specific food, food product, food ingredient, or food component.

Abstract: The invention relates to a device and method whereas the sewage dumping process for an RV is a more sanitary process keeping people from coming in direct contact with raw sewage and bacteria from un-sanitized hoses.

Abstract: Disclosed herein are methods of producing glyco-modified viral antigens that provide a shift of the glycosylation profile of recombinant produced viral antigens (e.g. glycoproteins) towards the naturally occurring viral antigens (e.g. glycoproteins). Disclosed are methods of producing a modified viral antigen comprising expressing a viral antigen in a recombinant mammalian cell line having one or more of the endogenous genes Mgat2, Mgat4A, Mgat4B, Mgat5, St3Gal3, St3Gal4, B4galt1, B4galt2, B4galt3, B4galt4, B4galt5, B3gnt2, St3Gal6, SPPL3, and/or FUT8 inactivated and/or downregulated; and optionally a gene ST6Gall inserted. Disclosed are glyco-modified viral antigens produced by the method of using a recombinant mammalian cell line. Disclosed are methods of treating a subject in need thereof comprising administering a composition comprising a therapeutically effective amount of one or more of the glyco-modified viral antigens.

Abstract: The present invention relates to a novel cleaning brush device. The device is a handheld brush device for cleaning crevices, between vehicle seats, floor surfaces and other tight spaces. The cleaning brush device comprises a handle component with two brush components, wherein one brush component is secured to opposite ends of the handle component. The brush components can be flexible with durable bristles for cleaning different tight and/or small areas. Thus, the cleaning brush device effectively removes bacteria, dust, dirt, debris, mold, mildew, etc.

Abstract: System and methods for managing and tracking hardware assets for a telecommunications network. A set of hardware asset records is maintained in a database table, each hardware asset record corresponding to a hardware asset of a telecommunications service provider. To update hardware asset records, a set of hardware asset objects is received from one or more operations support systems (OSSs) of the telecommunications service provider. Parameters are extracted from the hardware asset objects and compared to parameters in the hardware asset records. When a changed parameter is identified, the hardware asset record is updated to reflect the changed parameter.

Abstract: A message generating system disseminates to each of multiple user devices first information items each associated with at least a respective one of multiple services made available by a first entity. When access indicative signals are received via a network connection, each prompted by a respective one of the user devices accessing at least one of the first information items, the system stores a respective awareness-stage record for each received access indicative signal, thereby recording that the respective user entity accessed at least one of the first information items. For each user entity for which a respective awareness-stage record is stored, a second item is generated and sent including information of a particular service associated with at least one first information item. User entities for which a second item was not generated are excluded as having not accessed a first item. The exclusion reduces data traffic on the network connection.

Abstract: A message generating system disseminates to each of multiple user devices first information items each associated with at least a respective one of multiple services made available by a first entity. When access indicative signals are received via a network connection, each prompted by a respective one of the user devices accessing at least one of the first information items, the system stores a respective awareness-stage record for each received access indicative signal, thereby recording that the respective user entity accessed at least one of the first information items. For each user entity for which a respective awareness-stage record is stored, a second item is generated and sent including information of a particular service associated with at least one first information item. User entities for which a second item was not generated are excluded as having not accessed a first item. The exclusion reduces data traffic on the network connection.

Abstract: A system for reducing input data size for use in an artificial intelligence (AI) engine for predicting a subsequent event. The system includes a computer configured to implement instructions to receive input data and time data indicative of previous events associated with users. The instructions configure the system to determine interface channels associated with modes of interface with the users, previous event characteristics, or both. The system implements instructions associating previous event data with time windows. The instructions configure the system to generate user window values for the combinations of users and time windows. The user window values indicate the interface channels and previous event characteristics of data within the respective time windows. Implementing the instructions configures the system to form a first portion of the raw input data having an association value below a threshold with respect to preceding the subsequent event and generate condensed input data.

Abstract: A system for guiding interactions with a user device requests a response from a plurality of users, stores the response as response data forming a subset of a personal data set of each of the responding users, and generates a predictive model during training of a machine learning program utilizing at least one neural network with a training data set including the personal data set of each of the plurality of users. The predictive model predicts a probability of a first one of the users associated with the user device interacting with a first product and/or service by correlating a personal data set of the first one of the users to the personal data set of at least a second one of the users and sends a communication relating to the first product and/or service to the user device when the predicted probability meets or exceeds a threshold value.

Abstract: A system for guiding interactions with a user device requests a response from first users, stores the response as response data forming a subset of a personal data set of each of the responding first users, and generates a predictive model during training of a machine learning program with a training data set including the personal data set of each of the first users. The predictive model predicts a predicted response of a second user associated with the user device by correlating a personal data set of the second user to the personal data set of at least one of the first users. The computer sends a communication to the user device of the second user having content relating to the first product and/or service when it is determined that the predicted response indicates an interest in or preference of the second user for the first product and/or service.

Abstract: A system for guiding interactions with a user device requests a response from a plurality of users, stores the response as response data forming a subset of a personal data set of each of the responding users, and generates a predictive model during training of a machine learning program utilizing at least one neural network with a training data set including the personal data set of each of the plurality of users. The predictive model predicts a probability of a first one of the users associated with the user device interacting with a first product and/or service by correlating a personal data set of the first one of the users to the personal data set of at least a second one of the users and sends a communication relating to the first product and/or service to the user device when the predicted probability meets or exceeds a threshold value.

Abstract: A system includes a computer to implement a front-end input condensation program and a back-end machine learning program. Steps of the front-end program include receive input data and time data indicative of previous events associated with users; determine interface channels associated with modes of interface with the users and/or previous event characteristics; associate previous event data with time windows; generate user window values for the combinations of users and time windows indicating the interface channels and previous event characteristics of data within the respective time windows; and form condensed input data without raw input data having a low association with respect to preceding the subsequent event. Steps of the back-end program include receive the condensed input data and use the condensed data to generate an inference related to the subsequent event such that a time required by the machine learning algorithm to generate the inference is reduced.

Abstract: A system and method for training an artificial intelligence engine for real-time monitoring to eliminate false positives is disclosed. The system includes at least one processor, a communication interface coupled to the processor, and a memory device storing executable code. Executing the executable code causes the processor to receive data from an AI security model, receive data from a false positive database, and correlate both sets of data. The correlated data is used to generate a training dataset and a test dataset used to train a false positive identification model. After evaluating the false positive identification model, an AI engine is applied to user registration. The AI engine includes an AI security model and the false positive identification model. Additionally, a system for evaluating the security of user registration utilizing the false positive identification model is disclosed.

Abstract: A message generating system disseminates to each of multiple user devices first information items each associated with at least a respective one of multiple services made available by a first entity. When access indicative signals are received via a network connection, each prompted by a respective one of the user devices accessing at least one of the first information items, the system stores a respective awareness-stage record for each received access indicative signal, thereby recording that the respective user entity accessed at least one of the first information items. For each user entity for which a respective awareness-stage record is stored, a second item is generated and sent including information of a particular service associated with at least one first information item. User entities for which a second item was not generated are excluded as having not accessed a first item. The exclusion reduces data traffic on the network connection.

Abstract: A system for reducing the time to train a machine learning program for predicting a subsequent event. The system includes a computer configured to implement instructions to receive training data and time data indicative of training events associated with users. The instructions configure the system to determine interface channels associated with modes of interface with the users, training event characteristics, or both. The system implements instructions associating training event data with time windows. The instructions configure the system to generate user window values for the combinations of users and time windows. The user window values indicate the interface channels and training event characteristics of data within the respective time windows. Implementing the instructions configures the system to form a first portion of the raw input data having an association value below a threshold with respect to preceding the subsequent event and generate condensed training data.

Abstract: In one implementation, an adapter device includes a processor and a storage medium including instructions. The instructions are executable by the processor to: deploy a composer container in the adapter device, wherein the adapter device is coupled to a host device; receive, by the composer container, a plurality of adapter service requests from the host device; and in response to the plurality of service requests, deploy, by the composer container, a plurality of service containers in the adapter device, wherein each service container is to provide a particular adapter service to the host device, and wherein each service container is allocated a subset of the plurality of computing resources of the adapter device.

Abstract: A wheel assembly bushing for in-wheel electric motors where the bushing includes a hydraulic chamber positioned within a resilient sleeve of the bushing and a helical fluid channel that extends helically about an inner bushing member between first and second fluid channel ends, which are arranged in fluid communication with the hydraulic chamber. An outer body extends annularly about the resilient sleeve, which permits relative movement between the inner bushing member and the outer body. The fluid channel is configured to produce inertance. This inertance, when combined with other damping and stiffness effects of the wheel assembly bushing, provides phase and magnitude shifts between force and velocity, which ultimately reduce magnetic gap deformation in the in-wheel electric motor.

Abstract: Disclosed herein are compounds and compositions useful in the treatment of GLS1 mediated diseases, such as cancer, having the structure of Formula I: Methods of inhibition GLS1 activity in a human or animal subject are also provided.

Abstract: In one implementation, an adapter device includes a processor and a storage medium including instructions. The instructions are executable by the processor to: deploy a composer container in the adapter device, wherein the adapter device is coupled to a host device; receive, by the composer container, a plurality of adapter service requests from the host device; and in response to the plurality of service requests, deploy, by the composer container, a plurality of service containers in the adapter device, wherein each service container is to provide a particular adapter service to the host device, and wherein each service container is allocated a subset of the plurality of computing resources of the adapter device.

Abstract: Various methods and systems are provided for a railyard system. In one example, a method for managing a railyard comprises, within the railyard, positioning a cargo unit on a multi-directional pad and moving the pad multi-directionally based on a requested order for the cargo unit relative to other cargo units, where the requested order corresponds to an order of cargo units on railcars of an outbound train. The multi-directional pad may operate within an arena, where the arena includes a concrete surface depressed into the ground such that a surface of the pad is level with a surface of the ground surrounding the arena, thereby allowing railcars to be pushed onto the pad by a locomotive of a train.