Abstract: The present invention relates to novel tri-specific binding molecules. The invention also relates to nucleic acids encoding such binding molecules; to methods for preparing such binding molecules; to host cells expressing or capable of expressing such binding molecules; to compositions comprising such binding molecules; and to uses of such binding molecules or such compositions, in particular for therapeutic purposes in the field of cancer diseases.

Abstract: A system implements task contention reduction via policy-based selection. Tasks waiting to be performed are indexed in a task data structure that groups the tasks based on the resources to which the tasks pertain. Workers request batches of tasks for the workers to perform. A scan cycle includes building multiple batches of tasks by scanning the task data structure for a requesting worker. A policy (e.g., random or some other form of optimization) determines where the scan cycle starts in the data structure. Each batch of tasks is delivered to a worker along with a token that keeps the state of the scan cycle (e.g., where the scan cycle started, and where the next scan to build the next batch within the scan cycle begins). The worker returns the token with the next request for the next batch and the next batch is built based on the token's state information.

Abstract: Embodiments of the present invention provide a system for triggering cross channel data caching on network nodes. Historical event data and live event data of a user may be monitored to determine an expected event that includes one or more expected channels. An expected period of time for the expected event may also be determined. Relevant user data may then be identified from one or more systems of record and cached or otherwise compressed. One or more nodes of a network associated with each of the one or more expected channels are then identified. The cached data is then transmitted to virtual data structures associated with each of the one or more nodes. The cached data is then generally maintained in these virtual data structures on the network for the expected period of time.

Abstract: Arrangements for voice enabled event processing are provided. In some aspects, a self-service kiosk may detect a mobile device of a user and a connection may be established between the self-service kiosk and the mobile device. The user may request, via natural language data input, processing of an event, such as a transaction. The natural language data input may be captured by the mobile device of the user and transmitted to the self-service kiosk or other processing device. The natural language input may be processed to identify the requested event. Based on the processed natural language data, an event processing request may be generated. Based on processing the event, one or more event processing commands may be generated. The event processing commands may be executed to perform one or more functions associated with completion of the event processing (e.g., distributing funds, activating a deposit receptacle, or the like).

Abstract: Paramagnetic sodium NMR biosensors and associated methods are described herein. In one embodiment, a method for detecting sodium ion irregularities in a patient can include administering a volume of metallic biosensors to a region of the patient; and detecting a volume of compartmentalized sodium ions within the region based on the administered volume of metallic biosensors, which comprises a paramagnetic cation (such as, but not limited to, a lanthanide (III) metal ion and/or a transition (II) metal ion) as the core bound to an anionic macrocyclic chelate. In some cases, the volume of compartmentalized sodium ions can further include a volume of intracellular sodium ions, a volume of interstitial sodium ions, a volume of blood sodium ions, or a combination thereof.

Abstract: Methods and apparatus for managing fluid flow in pipes. An exemplary method includes initializing models of at least two fluid pads and one or more pipe elements, the models of the fluid pads comprising material points; for each of the material points, determining: an integration weight; and a material state; (a) for each of the fluid pads, discretizing governing fluid flow equations on a numerical grid, wherein the numerical grid is constrained within the pipe elements; (b) solving the discretized equations to generate nodal solutions; (c) constructing material point solutions from the nodal solutions; and until end criteria are met: updating the models of the fluid pads with the material point solutions; and repeating (a)-(c). An exemplary fluid flow data analysis system includes a processor and a display configured to display graphical representations of a fluid flow model, wherein the system is configured to manage fluid flow in pipes.

Abstract: Systems and methods for managing a list or restoration paths are provided. A method, according to one implementation, includes obtaining a list of restoration paths used for restoring transmission in a network when a home path between an originating node and a termination node is unavailable. The restoration paths are listed in a specific order based on ongoing transmission costs, where the ongoing transmission cost for each restoration path is based on characteristics associated with transmitting signals along the respective restoration path. The method also includes the step of reordering the restoration paths in the list based on restoration costs and the ongoing transmission costs. The restoration cost for each restoration path is based on a procedure for switching from the home path to the respective restoration path.

Abstract: Systems, computer program products, and methods are described herein for dynamic resource allocation based on vehicle route selection. The present invention is configured to receive an origin and a destination for a user; determine travel routes for the user; determine resource distribution entities along the one or more travel routes; determine resources associated with the resource distribution entities; display the travel routes, the resource distribution entities along each of the travel routes, and the resources associated with each of the resource distribution entities; receive a user selection of at least one of the travel routes; and distribute the resources to the computing device of the user along the at least one of the one or more travel routes selected by the user.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products for utilizing resources from multiple sources to complete a resource distribution. The invention may receive a distribution request from an entity, where the distribution request includes information identifying a first resource distribution device provided by a user to the entity, a first source associated with the user, and a request amount of resources. The invention may determine whether the requested amount of resources is greater than a first amount of resources in the first source, determine whether the first resource distribution device is associated with one or more other sources associated with the user, and determine whether a sum of the first amount of resources in the first source and a second amount of resources in the one or more other sources is greater than or equal to the requested amount of resources.

Abstract: Methods, systems, and computing platforms for mobile data communication are disclosed. Processor(s) may be configured to electronically receive a plurality of user mobile interaction data to initiate a session on processing server. The processor(s) may be configured to electronically process the user mobile interaction data with AI including predefined user activity data for actions. The processor(s) may be configured to electronically determine whether one of more of the user mobile voice data samples includes a session key data command and responsive to the session key data command, electronically initiating a biometric authentication of the user mobile voice data samples. In some implementations, the system processor(s) may be configured to electronically initiate a second computing session for the computer platform while receiving the plurality of user mobile interaction voice data.

Abstract: Embodiments of the invention are directed to a system, method, and computer program product for calibrating a brain activity morning system. The system may receive a transmission that indicates a user desires to calibrate a brain activity measuring device. The system may determine a calibration procedure appropriate for the user. The system can also store one or more settings based on the calibration procedure.

Abstract: The current disclosure relates to methods and compositions for improving plant varieties through plant breeding and plant genetics. For instance, the disclosure concerns increasing the recombination frequency of a heterozygous trait genetically linked to a second trait within plants. Further, the disclosure concerns breaking the genetic linkage between a first allele and a second allele.

Abstract: Apparatus and methods for a payment instrument are provided. The apparatus may include a primary chip positioned on an outer face of the payment instrument and a power source. The apparatus may include a first supplementary chip, a second supplementary chip, and a third supplementary chip. Each of the first, second and third supplementary chips may be positioned within a thickness of the payment instrument and configured to draw power from the power source.

Abstract: A device may receive source code from a source data structure, and may receive information associated with a target data structure. The device may analyze the source code to extract statements, and may utilize natural language processing on the statements to identify functions and keywords associated with the source data structure. The device may train a machine learning model with the functions and the keywords to generate a trained machine learning model, and may process the information associated with the target data structure, with the trained machine learning model, to transform a source query to a target query compatible with the target data structure. The device may process the target query, with a neural network model, to generate an optimized target query, and may cause data from the source data structure to be migrated to the target data structure based on the optimized target query.

Abstract: Systems and methods for managing a list or restoration paths are provided. A method, according to one implementation, includes obtaining a list of restoration paths used for restoring transmission in a network when a home path between an originating node and a termination node is unavailable. The restoration paths are listed in a specific order based on ongoing transmission costs, where the ongoing transmission cost for each restoration path is based on characteristics associated with transmitting signals along the respective restoration path. The method also includes the step of reordering the restoration paths in the list based on restoration costs and the ongoing transmission costs. The restoration cost for each restoration path is based on a procedure for switching from the home path to the respective restoration path.

Abstract: Systems and methods for utilizing backup paths to restore service in a network are provided. A method, according to one implementation, includes obtaining a route list as defined by a user, the route list including a plurality of explicitly-configured backup routes for restoring service between a source node and a destination node in a network when a working route is unavailable. The method also includes receiving input designating one or more of the explicitly-configured backup routes as one or more last-resort routes. In response to determining that the working route is unavailable and that the plurality of explicitly-configured backup routes, excluding the one or more last-resort routes, are unavailable, the method includes automatically computing one or more implicitly-computed backup routes.

Abstract: Systems for optimized forecasting are provided. In some examples, data associated with strategy of one or more business units may be received. The strategy data may include identification of projects or goals. In some examples, industry trend data may be received and may include data associated with in-demand job skills and the like. An instruction to capture user data may be transmitted to one or more user devices of an employee user. The instruction may cause activation of one or more sensors or data capture devices. The captured user data may be received and analyzed to determine a competency of the user. Based on the strategy data, industry data and determined competency, one or more deficiencies between the resources needed to meet the business unit strategy data and the available resources may be identified. Based on the identified deficiency, one or more actions for execution may be identified and executed.

Abstract: Systems for performing intelligent interactive voice recognition functions are provided. In some aspects, natural language data may be received from a plurality of users. The natural language data may be used to generate a plurality of user-specific machine learning datasets. Subsequent natural language input data including a user query may be received. The query may be analyzed to identify the user and a user-specific machine learning dataset associated with the user may be identified. The natural language data may be processed to remove noise associated with the data and may be further processed using the identified user-specific machine learning dataset to interpret the query of the user and generate an output. The output may be transmitted to the user and feedback data may be received from the user. The user-specific machine learning dataset may then be validated and/or updated based on the feedback data.

Abstract: In one aspect, a process for position estimation entails obtaining (a) at least one direct distance estimate corresponding to a distance between one or more intervening devices, (b) at least one direct angle estimate corresponding to a spanning angle formed involving the one or more intervening devices, or both (a) and (b). Based on (a) the at least one direct distance estimate corresponding to the distance between devices including the one or more intervening devices, (b) the at least one direct angle estimate corresponding to the spanning angle formed involving the one or more intervening devices, or both (a) and (b), an indirect distance estimate between a first device and a second device or an indirect angle estimate involving the first device and the second device is determined. The first device and the second device may be out of range with respect to one another for a direct distance measurement.

Abstract: Systems for performing intelligent interactive voice recognition functions are provided. In some aspects, natural language data may be received from a plurality of users. The natural language data may be used to train a machine learning model. After training the machine learning model, additional or subsequent natural language input data may be received. The natural language data may include a user query, such as a request to obtain information from the system, to process a transaction, or the like. The natural language data may be processed to remove noise associated with the audio data. The data may then be further processed using the machine learning model to interpret the query of the user and generate an output. The output may be transmitted to the user and feedback data may be received from the user. The user-specific machine learning dataset may then be validated and/or updated based on the feedback data.