Abstract: Systems and methods for generating synthetic data are disclosed. A system may include one or more memory devices storing instructions and one or more processors configured to execute the instructions. The instructions may instruct the system to categorize consumer data based on a set of characteristics. The instructions may also instruct the system to receive a first request to generate a first synthetic dataset. The first request may specify a first requirement for at least one of the characteristics. The instructions may further instruct the system to retrieve, from the consumer data, a first subset of the consumer data satisfying the first requirement. The instructions may also instruct the system to provide the first subset of consumer data as input to a data model to generate the first synthetic dataset, and to provide the first synthetic dataset as training data to a machine-learning system.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing natural language processing operations using a multi-context convolutional self-attention machine learning framework that comprises a shared token embedding machine learning model, a plurality of context-specific self-attention machine learning models, and a cross-context representation inference machine learning model, where each context-specific self-attention machine learning model is configured to generate, for each input text token of an input text sequence, a context-specific token representation using a context-specific self-attention mechanism that is associated with the respective distinct context window size for the context-specific self-attention machine learning model.

Abstract: A system may include an interface configured to couple to a network, and includes a processor and a memory accessible to the processor. The memory may be configured to store instructions that, when executed, cause the processor to process search results corresponding to multiple data owners to selectively filter personally identifiable information (PII) associated with one or more consumers from the set of search results according to data sharing permissions for each of the data owners to produce filtered results. The instructions may further cause the processor to provide the filtered results to a user device through the network.

Abstract: An electrically conductive flat filament arrangement for a fluid permeable heater assembly for aerosol-generating systems includes a center portion and two side portions. The two side portions are on opposite sides of the center portion. The center portion defines a heating region of the filament arrangement and the side portions define electrical contact regions of the filament arrangement. The center portion and the two side portions each include a plurality of openings. Each plurality of openings defines an open area of the center portion and an open area of each of the two side portions. A percentage of the total area of the center portion including the open area of the center portion is greater than the percentage of the total area of one of the side portions including the open area of the side portion.

Abstract: Disclosed is a molecule comprising: (a) a first domain, which comprises a targeting moiety; (b) a second domain, which comprises an albumin binding domain (ABD), (c) a third domain, which comprises a furin cleavage sequence (“FCS”), which FCS is cleavable by furin; and (d) a fourth domain, which comprises an optionally substituted Domain III from Pseudomonas exotoxin A (“PE”). Related nucleic acids, recombinant expression vectors, host cells, populations of cells, pharmaceutical compositions, methods of producing the molecule, methods of treating or preventing cancer in a mammal, and methods of inhibiting the growth of a target cell are also disclosed.

Abstract: Methods, apparatus and computer software products implement embodiments of the present invention that include protecting a computer system, by collecting information from data traffic transmitted between multiple local nodes on a private data network and public IP addresses corresponding to multiple remote nodes on a public data network. DNS resolutions are detected in the collected information, each DNS resolution identifying a local node requesting the resolution with respect to a URI and a public IP address corresponding to the URI. Transmissions from the local nodes to the public IP addresses are detected in the collected information at respective times, and the detected DNS resolutions are compared to the detected transmissions so as to identify the transmissions from the local nodes to the public IP addresses that were not resolved by the DNS resolutions. Finally, a protective action is initiated with respect to at least some of the identified transmissions.

Abstract: A device may receive a target document. The device may segment the target document into multiple segments. The device may determine, for each segment of the multiple segments, a set of color parameters for a corresponding set of pixels included in that segment. The device may determine, for each segment of the multiple segments, an average color parameter for that segment based on the set of color parameters for the corresponding set of pixels included in that segment. The device may generate a target color profile for the target document based on determining the average color parameter for each segment. The device may compare the target color profile and a model color profile associated with classifying the target document. The device may classify the target document based on comparing the target color profile and the model color profile.

Abstract: A method for training a neural network model includes generating a training dataset with a plurality of data types and word samples belonging to each data type. A plurality of character strings stored in a plurality of data fields in a first data file are received where the plurality of character strings includes at least one word belonging to at least one data type in the plurality of data types. The at least one word from each of the plurality of character strings in each of the data fields are split and matched to the at least one data type using the neural network model. An ad hoc second data file with a plurality of data vectors is constructed based on a user selection of data field labels where each data vector includes words matched to a data type with a respective data field label.

Abstract: Presented herein are systems and methods for an access control system deployable in an IT Infrastructure System (enterprise) to automatically discover an unmanaged IT asset or resource based on registration metadata stored in a CMDB; in response to discovery of the unmanaged IT resource, generating based on the registration metadata, in an LDAP server of the enterprise, an entitlement for one or more groups of enterprise users, wherein, for each of the one or more users or groups, the entitlement is embodied in an LDAP group name, wherein the LDAP group name is determined based on IT resource application metadata and/or on a pre-defined LDAP group naming convention; and mapping, based on the LDAP group name, the entitlement for each of the one or more users or groups to one or more specified target IT assets of the enterprise already registered, including software applications, or hardware including databases or servers.

Abstract: A system includes one or more processors configured to execute the instructions to dynamically link a plurality of content objects to a plurality of product pages, each content object and each product page having a first product tag. The system may assign each product page with a respective page score and each content object with a respective content score. The system may select a first product page having a first page score and a first content object having a first content score, compare the first content weight associated with the first content object to a first content threshold associated with the first product page and determine whether the first content object may be assigned to the first product page. When the first content weight is less than the first content threshold, the system may dynamically link the first content object with the first product page.

Abstract: A container includes a polygonal section comprising lateral walls surrounding an interior space. An upper wall forms a top bound on the interior space. A lower wall forms a bottom bound on the interior space. An alignment tab straddles a respective one of the upper fold lines. The alignment tab also has an intermediate fold line between the first and second ends of the alignment tab that is closer to the first end than to the second end, such that the alignment tab projects upward from the upper wall and separates two vertical, inward facing alignment edges at an upper end of the adjacent one of the lateral walls. A retention tab extends downward from the adjacent one of the lateral walls and is configured to engage two vertical, inward facing alignment edges of a similar container for alignment in a stack.

Abstract: A locating system includes a tag with body that has a first button and a second button, a driver configured to determine a type of button press of at least one of the first button and the second button, and a control unit in communication with the driver. The control unit is configured to communicate the type of button press determined by the driver. The tag also includes a transmitter in communication with the control unit. At least one receiver is configured to selectively communicate with the transmitter. A controller is in communication with the at least one receiver. The controller is configured to determine a location of the tag within a predefined area based on information from the at least one receiver, correlate the type of button press from the tag with a message, and generate a notification to communicate the message.

Abstract: Described are a system, method, and computer program product for dynamic node classification in temporal-based machine learning classification models. The method includes receiving graph data of a discrete time dynamic graph including graph snapshots, and node classifications associated with all nodes in the discrete time dynamic graph. The method includes converting the discrete time dynamic graph to a time-augmented spatio-temporal graph and generating an adjacency matrix based on a temporal walk of the time-augmented spatio-temporal graph. The method includes generating an adaptive information transition matrix based on the adjacency matrix and determining feature vectors based on the nodes and the node attribute matrix of each graph snapshot.

Abstract: A method is disclosed. The method includes receiving, by a token gateway, a first request message from a token requestor computer. The token gateway determines at least one token service computer from a plurality of token service computers, each token service computer in the plurality of token service computers operating independently of each other. The token gateway transmits at least one second request message to the at least one token service computer and receives, at least one first response message comprising at least one token and/or supplemental data associated with the at least one token from the at least one token service computer. The token gateway transmits a second response message to the token requestor computer, the second response message comprising the at least one token and/or the supplemental data.

Abstract: In some implementations, a credential device may receive a request to generate a virtual credential from a user device associated with a first unique identifier, wherein the request includes a second unique identifier associated with a terminal to receive the virtual credential. The credential device may generate the virtual credential based on the request and a primary credential associated with the first unique identifier, wherein the virtual credential is associated with the primary credential and valid only for an entity associated with the terminal. The credential device may transmit information associated with the virtual credential to the terminal associated with the second unique identifier.

Abstract: A method includes obtaining a first dataset associated with a first set of classes and a second dataset associated with a second set of classes, where the first and second datasets share features. The method also includes creating an aggregated dataset having a quality score for the second set of classes that satisfy a first threshold. Creating the aggregated dataset includes determining a first and second set of clusters based on the first and second datasets. The method includes determining a distance based on a record of the first set of clusters and a second record of the second set of clusters in a feature space. The method further includes determining a set of analysis scores based on the distance and generating an indication for a set of records associated with the set of analysis scores based on the set of analysis scores satisfying a second threshold.

Abstract: The method including providing a filler material that is water insoluble, the providing provides the filler material with more than 98% alpha-cellulose, 0.01% to less than 2% ash and a remainder hemicellulose, infusing at least one first consumable within the filler material and inserting a matrix within at least one first containing structure to form an insert, the matrix including the filler material.

Abstract: A control system is for a railway yard with railroad tracks. The control system may include RCLs and sets of railcars on the railroad tracks. The control system may include railyard sensors configured to generate railyard sensor data of the railroad tracks, and a server in communication with the RCLs and the railyard sensors. The server may be configured to generate a database associated with the sets of railcars based upon the railyard sensor data. The database may have, for each railcar, a railcar type value, a railcar logo image, and a vehicle classification value. The server may be configured to selectively control the RCLs to position the sets of railcars within the railroad tracks based upon the railyard sensor data.