Abstract: Systems and methods for managing content items of the type used in Web sites. In accordance with the disclosure, site objects, channel objects and content objects are associated with each other to form a hierarchical site structure. The content objects are linked to corresponding content items in a content repository, and are grouped together by association with channel objects in the site structure. Each of the objects in the site structure has an associated set of content services and can be deployed individually or in combination, while maintaining references to the related objects in the hierarchical site structure.

Abstract: Computer-implemented systems utilizing sensor networks for sensing temperature and motion environmental parameters, and performing at least operations of electronically establishing, based on pattern recognition criteria, correspondence of a plurality of representative features a plurality of characteristics of an occurrence, where a first instance of the occurrence occurred within a first time period of a plurality of time periods; electronically discovering, based on the correspondence, a second instance of the occurrence in an environment during a second time period of the plurality of time periods; and electronically causing, based on the discovery of the second instance of the occurrence, a change in the environment via an electronically-controlled device.

Abstract: The present systems and methods are directed to de novo identification of peptide sequences from tandem mass spectrometry data. The systems and methods uses unconverted mass spectrometry data from which features are extracted. Using unconverted mass spectrometry data reduces the loss of information and provides more accurate sequencing of peptides. The systems and methods combine deep learning and neural networks to sequencing of peptides.

Abstract: A method and system for repairing data with incongruent or incompatible types that detects anomalies in human resources data, and if anomalies are present in the data, then suggests to a user corrections and synchronizing actions that better match patterns in the data, specifically listing reasons why the data is potentially erroneous and justifies the suggestion based on objective data to aid the user in accepting corrections and synchronizing actions or performing further review and analysis on the data using the method and system.

Abstract: A device includes a communications interface that receives sensor data sensed by a plurality of sensors sensing an environment of a vehicle. The device includes a processor and a memory including instructions that when executed by the processor, cause the processor to access a first timestamp, a second timestamp, and a third timestamp of a sensor signal from a selected sensor of a plurality of sensors. The instructions cause the processor to calculate a first midpoint between the first timestamp and the second timestamp, calculate a second midpoint between the second timestamp and the third timestamp, create a first data bucket for at least some of the sensor data based on the first and second midpoints, generate a data structure using the first data bucket, and store the data structure in a storage system.

Abstract: The current document is directed to methods and subsystems within computing systems, including distributed computing systems that efficiently store metric data by approximating a sequence of time-associated data values with one or more linear functions. In a described implementation, a running variability metric is used to control variation within the metric data with respect to the approximating linear functions, with a variation threshold employed to maximize the number of data points represented by a given linear function while ensuring that the variation of the data with respect to the given linear function does not exceed a threshold value. In one implementation, the metric data occurs within a graph-like configuration-management-database representation of the current state of a computer system.

Abstract: Methods, systems, and media for providing search suggestions are provided. In accordance with some embodiments, the method comprises: receiving user input that includes a partial search query; identifying a group of candidate search suggestions; determining whether each candidate search suggestion is included on a list of search suggestions that are prohibited, wherein the list is generated by: receiving previously submitted search queries and search results; determining, for each of the search queries, a number of search results associated with a particular content rating; determining whether the number meets a threshold value; and in response to determining that the number does not meet the threshold value, inserting the search query to the list; generating a modified group of search suggestions by removing search suggestions that are on the list; and causing a subset of the modified group of search suggestions to be presented as the remaining portion of the search query.

Abstract: A method comprising receiving first data representative of a query. A representation of the query is generated using an encoder neural network and the first data. Words for a rephrased version of the query are selected from a set of words comprising a first subset of words comprising words of the query and a second subset of words comprising words absent from the query. Second data representative of the rephrased version of the query is generated.

Abstract: A reference snapshot of a storage is stored. Data changes that modify the storage are received. The data changes are captured by a write filter of the storage. The received data changes are logged. The data changes occurring after an instance time of the reference snapshot are applied to the reference snapshot to generate a first incremental snapshot corresponding to a first intermediate reference restoration point. The data changes occurring after an instance time of the first incremental snapshot are applied to the first incremental snapshot to generate a second incremental snapshot corresponding to a second intermediate reference restoration point.

Abstract: This disclosure relates to methods and systems for processing of sequencing data streams. The system receives sequences from a sequencer and stores them as data records on a database. The sequences are associated with a counter indicative of a number of times the associated sequence has been sequenced. The system progressively receives a further sequence as streaming data from the sequence. While receiving the further sequence, the system matches the streaming data against the stored sequences to determine a matching score. Upon the matching score exceeding a matching threshold for one of the multiple sequences in the database, the system selects the one of the sequences in the database based on the matching score and stores the further sequence on non-volatile memory where the counter value associated with the selected sequence is below a saturation threshold. The system also terminates the receiving where the counter value is above the saturation threshold.

Abstract: An electronic exchange computing system is provided that includes a computer storage system, at least one transceiver, and a processing system. The storage system stores an electronic order book. The transceiver receives data transaction requests and transmits messages of an electronic data feed. The processing system determines that a first order has priority and generates a new order ID for the first order. The first order is maintained in the electronic order book (e.g., with a quantity of 0). Additional order instructions are received from a client computer system and are associated with the first order. A match is found based on the additional order instructions. A data feed update message is generated and transmitted as part of a real-time data feed and includes the newly generated order ID for the first order.

Abstract: The invention provides in some aspects a method, executed on a digital data processing system, of mass generation of customized digital content that includes continuously identifying current external events taken by or with respect to a plurality of respective prospective targets and, upon identification of such an event, generating a set of actions, each identifying a digital content piece and a digital delivery mechanism therefor. Each action is generated, according to the method, based on the current identified events for a particular prospective target and on a database of information about prior events taken by or with respect to him/her. The sets of actions are queued upon generation and continuously retrieved on a first-in-first-out basis. And, upon retrieval, an action for generation of digital content for the respective prospective target is selected for transmittal from the set based on quotas associated with that target and/or the delivery mechanism identified for it per the selected action.

Abstract: Example apparatus disclosed herein generate blocks of a blockchain, the blockchain to store a neural network that has input nodes, hidden nodes and output nodes, with respective ones of the blocks of the blockchain including respective code and respective data to represent corresponding ones of the output nodes of the neural network, a first one of the blocks including first code and first data to implement operations to be performed by a first one of the output nodes, the hidden nodes and the input nodes on input data applied to the neural network to determine an output of the first one of the output nodes. Disclosed example apparatus also train the neural network to determine at least portions of the respective data to include in the respective ones of the blocks of the blockchain, and forward the blockchain to a server that is to distribute the neural network to client(s).

Abstract: An electronic exchange computing system is provided that includes a computer storage system, at least one transceiver, and a processing system. The storage system stores an electronic order book. The transceiver receives data transaction requests and transmits messages of an electronic data feed. The processing system generates an identifier, which may be referred to as a transaction identifier, for received data transaction requests. The identifier may be generated in a non-sequential and increasing manner such that it is greater than previously generated identifiers. The processing system will process the data transaction request and generate an electronic data feed message based on how data transaction request is handled. The electronic data feed message is sent to client computing system and includes the generated identifier.

Abstract: According to one method, the method comprises: receiving, from a client via a REST API, input in a first format; converting, using predetermined metadata, the input in the first format into input in a second format; sending the input in the second format to a legacy system for performing an operation using the input in the second format; receiving, from the legacy system, output in the second format, wherein the output is based at least in part on the operation performed using the input in the second format; converting, using the predetermined metadata, the output in the second format into output in the first format; and sending, to the client via the REST API, the output in the first format.

Abstract: Case fragment management includes obtaining a case model definition for a case, and generating a case model from the case model definition. Generating the case model includes obtaining a case fragment expression, executing the case fragment expression using data gathered from a data source to obtain a case fragment identifier, selecting, from multiple case fragments, a case fragment corresponding to the case fragment identifier, and populating the case model with the case fragment. Case fragment management also includes storing the case model.

Abstract: A computer-implemented knowledge asset distribution platform distributes packages of knowledge assets between plural provider system environments (PSE) and/or consumer system environments (CSE), which store knowledge assets and make the knowledge assets available to users of the CSE. The platform includes one or more processor unit(s), with one or more non-transitory memory unit(s), and a distribution module that distributes packages of knowledge assets. The platform includes a receiver module that receives packages of knowledge assets, a database module that stores packages of knowledge assets and/or stores content information of packages of knowledge assets, a browser module that provides a browser function for browsing the knowledge assets stored by the database module and/or for browsing the content information stored by the database module and a sender module that relays packages of knowledge assets.

Abstract: A computer-implemented method according to one embodiment includes converting an input question into a vector form using trained word embeddings; constructing a type similarity matrix using a predetermined ontology; and determining a score for all possible types for the input question, based on the input question in vector form and the type similarity matrix.

Abstract: A method, apparatus, and system for transmitting file system metadata from an indexing splitter running in a VM to a source side RPA is disclosed. The operations comprise: capturing one or more file system events in a production virtual machine (VM) at an indexing splitter; transmitting file system metadata representing the captured file system events from the indexing splitter to a data splitter, the data splitter being an agent running on a host system hosting the VM; transmitting the file system metadata inside one or more special input/output (I/O) commands associated with a predetermined tag from the data splitter to a source side replication protection appliance (RPA) alongside regular storage system I/O command data; identifying the special I/O commands at the source side RPA based on the predetermined tag; and recovering the file system metadata from the special I/O commands at the source side RPA.

Abstract: Methods, systems, and computer programs encoded on computer storage medium, for receiving a request for instrumentation data describing one or more devices in the computing environment, the request received from a resource management interface; retrieving the instrumentation data describing the one or more devices from a resource database; identifying a schema associated with the resource management interface; converting the instrumentation data describing the one or more devices based on the identified schema associated with the resource management interface; and transmitting the instrumentation data describing the one or more devices to the resource management interface.