Abstract: A system and method include a server computer that determines a plurality of routes and corresponding route schedules for a plurality of ride service requests. The server computer assigns a plurality of vehicles to service each one of the plurality of routes and further assigns one of the plurality of vehicles to one of a plurality of drivers to perform the route according to the route schedule. The server computer may detect an exception to the route schedule, identify a resolution to the exception, and automatically implement the resolution to the exception.

Abstract: Methods, systems and computer program products for lockless acquisition of memory for RDMA operations. A contiguous physical memory region is allocated. The contiguous physical memory region is divided into a plurality of preregistered chunks that are assigned to one or more process threads that are associated with an RDMA NIC. When responding to a request from a particular one of the one or more process threads, a buffer carved from the preregistered chunk of the contiguous physical memory region is assigned to the requesting process thread. Since the memory is pre-registered, and since the associations are made at the thread level, there is no need for locks when acquiring a buffer. Furthermore, since the memory is pre-registered, the threads do not incur registration latency. The contiguous physical memory region can be a contiguous HugePage contiguous region from which a plurality of individually allocatable buffers can be assigned to different threads.

Abstract: In one aspect, a method includes receiving, a serving gateway of a core network of a wireless communication system, a call request associated with an emergency service; assigning a Tunnel Endpoint Identifier (TEID) to the call, wherein the TEID has a plurality of bits and a first segment of the plurality of bits are set to identify the TEID as being associated with the emergency service; and establishing the call for the emergency service with a Packet Data Gateway (PGW) of the core network using the TEID, wherein the TEID enables the PGW to suppress deletion of a bearer associated with the call.

Abstract: Techniques are disclosed to identify if a current chamber being mapped is a target chamber that is desired to be mapped based on the relative position of the local activation time relative to QRS onset. Techniques are also disclosed whereby cardiac data can be labeled to indicate whether a beat was acquired while in the ventricle, or in the atrium.

Abstract: A system for rush order fulfilment optimization is discussed. The system includes mobile devices that are each associated with a worker and a rush fulfillment engine executed by a computing system which dynamically updates a task queue of each worker upon receipt of a new rush order according to a task completion rate difference between an estimated task completion rate and the current task completion rate of the worker.

Abstract: Apparatus for generating electro-anatomical mapping and methods used therein include a processor and a memory connected to the processor, wherein the memory contains instructions configuring the processor to receive input data, generate, using at least a machine learning model, an electro-anatomical mapping as a function of the input data, and display the electro-anatomical mapping using a user interface, wherein receiving the input data includes receiving, from an imaging device, at least a medical image and receiving, from a signal capturing device, at least an electrogram, wherein the at least a machine learning model is trained using electro-anatomical mapping training data including exemplary medical images and exemplary electrograms as input correlated to exemplary electro-anatomical mappings as output.

Abstract: Systems and methods for enhanced rule-based querying of unstructured text using graph analysis are provided. Some embodiments apply machine learning to the analysis of unstructured text to identify regulatory, privacy, and cybersecurity risks. In some embodiments, a query string is provided to identify desired content in the unstructured text. The query string is tokenized and the tokenized parts are converted into nodes of a query graph and relationships are defining between the nodes. After identifying matches between terms in target text with nodes of the query graph, a graph is generated using matched terms as nodes. Based on the defined relationships, a determination is made whether any group of nodes on the graph satisfy the query string. Any matched nodes are mapped to the target text, and this information is provided to an analyst or reviewer for further consideration or action.

Abstract: A method for identifying fraudulent cryptographic currency transactions using a deep neural network includes: receiving, by a receiver of a processing server, a source dataset, the source dataset including labeled source data associated with a plurality of source features and being associated with a source domain; receiving, by the receiver of the processing server, a target dataset, the target dataset including unlabeled target data associated with a plurality of target features and being associated with a target domain; combining, by a processor of the processing server, at least a subset of the plurality of source features and at least a subset of the plurality of target features into a combined data layer; training, by the processor of the processing server, a deep neural network using a domain adaptation algorithm and the combined data layer to identify a set of final features.

Abstract: According to one embodiment, a method for generating a cardiac map is disclosed. The method comprises during cardiac mapping in which a mapping catheter is inserted into a heart, receiving a plurality of recordings from the mapping catheter, each recording includes a voltage, and the spatial coordinates of a recording site within the heart indicative of an electrode position of the mapping catheter at the time of acquisition of said voltage, constructing a three-dimensional surface of the heart based on the spatial coordinates of each recording site, performing surface analysis to determine off-surface points in the plurality of recordings where each off-surface point corresponds to a recording from the plurality of recordings which does not lie on the three-dimensional surface, and selectively moving at least some of the off-surface points to the three-dimensional surface based on a predefined threshold.

Abstract: An apparatus for the generation of an impedance model of a biological chamber is disclosed. The apparatus includes a catheter assembly comprising a plurality of electrodes arranged into one or more constraint pairs. The apparatus includes a processor and a memory communicatively connected to the processor. The memory instructs the processor to receive tank data. The memory instructs the processor to generate a plurality of relative configurations of the plurality of electrodes as a function of the tank data using a compliant configuration generator. The memory instructs the processor to record voltage data from the plurality of electrodes within a biological chamber as a function of the plurality of relative configurations. The memory instructs the processor to map a plurality of impedance metrics for each relative configuration as a function of the voltage data. The memory instructs the processor to generate an impedance model as a function of the map.

Abstract: A system and method include a server device which identifies a plurality of stops for a vehicle among a fleet of vehicles. The server device also identifies stop locations for each one of the plurality of stops and a side of a street for each one of the plurality of stops. Once identified, the server devices generates an optimized route for service by the vehicle to service each one of the stop based on an optimized stop order for each one of the plurality of stops based on the stop locations being disposed only on the identified side of the street for each one of the plurality of stop locations. The optimized route may be provided to a driver device while the route and time of arrival information may be provided to a user.

Abstract: A system includes a server device which receives a charter service request from a user device is provided herein. The vehicle charter service request includes information about the request including a specified pickup location, one or more specified stop locations, and a specified destination location. The server device may provide a graphical user interface for the one or more vehicle types which are selectable for providing the vehicle charter service. The server device creates an optimized route for the charter service based on the specified pickup location, one or more specified stop locations, and a specified destination location. The server device may further provide a map and real time tracking for a vehicle providing the charter service.

Abstract: A system and method include a server device which transmits a list of passengers for a vehicle route. The list of passengers may include profiles for each one of the passengers. The server device may further receive a unique identification for a passenger boarding a vehicle and compare the unique identification to the list of passengers for the vehicle route. The server device may further identify the passenger boarding the vehicle as being on board the vehicle in the profile for that passenger. The server device may further receive vehicle status information from the vehicle and transmit driver navigational information to a driver device. The server device may further transmit real time tracking data to a user device, including a map with an indicator of a current location of the vehicle.

Abstract: A graphical user interface and a system are provided which include a route identification interface element which specifies a new route for a vehicle, a plurality of route type buttons, a vehicle type interface, a stop order interface, a map, a control button, and an assignment button. The stop order interface identifies one or more stops for a vehicle in a fleet of vehicles. The map identifies the new route and the one or more stops graphically on the graphical user interface. The control button provides a utilization view for the one or more vehicles in the fleet of vehicles from which a vehicle from the one or more vehicles in the fleet of vehicles that are available can be assigned to the new route.

Abstract: A system and method include a device associated with a user. The device may identify to a server computer a route to be reassigned from a first vehicle to a second vehicle among a fleet of vehicles. The server device may include an artificial intelligence engine which compares the route to be reassigned to a plurality of route groups associated with one of the administrator and the ride requestor. The server device may further identify one or more route groups which are able to service the route to be reassigned based on the artificial intelligence engine. The server device may transmit a graphical representation of one or more of the plurality of route groups which is proximally available in terms of location and time, as determined by the artificial intelligence engine to service the route to be reassigned with a color coded indicator. The server device reassigns the route.

Abstract: A system and method that includes a ride requestor device, a driver device, a server device, and a user device is disclosed. The ride requestor device provides rider information and stop location information for a plurality of riders. The driver device provides location information, navigation information, and stop timing information for a particular vehicle in a fleet of vehicles. The server device includes an artificial intelligence engine which generates and optimizes a plurality of routes for service by the fleet of vehicles to provide a ride to each one of the plurality of riders.

Abstract: Providing overload protection may include receiving, from a first NRF of two or more NRFs, a load metric and comparing the load metric to a threshold. Additionally, when the load metric is above the threshold, providing NRF overload protection may include sending a Network Function (NF) Discovery (NFD) message to a second NRF instead of the first NRF and sending a heartbeat signal to the first NRF.

Abstract: Described herein is an apparatus and method for predicting Pulsed Field Ablation (PFA) durability. An apparatus may include at least a processor; and a memory communicatively connected to the at least processor, wherein the memory contains instructions configuring the at least processor to receive a training dataset comprising a plurality of example PFA device parameters correlated to a plurality of example PFA outcomes; train a PFA durability machine learning model using the training dataset; receive a PFA device parameter; and generate a PFA durability datum as a function of the PFA device parameter using a trained PFA durability machine learning model.

Abstract: Described herein is a method of improving the inhibitory profile of Streptococcus salivarius comprising formulating the S. salivarius in a composition comprising an effective amount of a supplemental saccharide. Also described herein are compositions comprising Streptococcus salivarius and supplemental saccharide, methods of inhibiting microorganisms using such compositions, therapeutic formulations comprising such compositions, and methods of treating or preventing diseases using such compositions and therapeutic formulations.

Abstract: Data transformation and data quality checking is provided by reading data from a source datastore and storing the data into memory, performing in-memory processing of the data stored in memory, where the data is maintained in-memory for performance of the in-memory processing thereof, and where the in-memory processing includes performing one or more transformations on the data stored in memory, in which the data stored in memory is transformed and stored back into the memory and applying one or more data quality rules to the data stored in-memory, and based on performing the in-memory processing of the data stored and maintained in memory for the in-memory processing, loading to a target datastore at least some of the data processed by the in-memory processing.