Abstract: Managing network event data in a telecommunication network. The method includes obtaining a plurality of datasets having network event data associated with products provided by a different vendor, the network event data comprising a plurality of data instances representing a plurality of network event features. The method further comprises obtaining metadata describing the network event data in the datasets and generating feature description vectors from the obtained metadata, calculating a metric of the relation between network event features represented in the datasets and constructing a graph of the network event features represented in the datasets, with edges weighted according to the calculated metric, partitioning the graph into clusters by minimising an edge cut between network event features, labelling network event features in the cluster with a normalised network event feature index and inputting the labelled network event data to a model for making at least one of recommendations or predictions.

Abstract: A document object may be transmitted to a plurality of user devices. The document object may include at least one field for display of a content object of a group of content objects. The field may be associated with an identifier corresponding to the group of content objects. When the document object is accessed, then the access may trigger a request to a server, which may select a content object of the group of content objects using a content object identification function. The content object identification function may be dynamically updated based at least in part on the document object being accessed by one or more of the plurality of user devices. Responsive to the request, a unique content object identifier corresponding to the selected content object may be transmitted to the user device and displayed at the accessed document object.

Abstract: Methods, systems, and apparatuses to improve the handling of exceptions during the retrieval and processing of health records from various data sources are provided. During the retrieval and processing of health records, exceptions to typical behavior are recorded with context at the data extraction protocol level, at the health record level and at the level of elements with the document. Accordingly, insights may be developed and configurations, rules, or coding changes, based on the detected exceptions may be proposed. In some instances, an operator may be notified about the exceptions such that the operator may act on the insight. In some instances, the processing of extracted records (documents, messages) may be deferred until the operator has made appropriate changes to configuration, rules, or code. In some instances, the system may supplement and/or replace the operator with machine learning engines that act on the developed insights.

Abstract: The present disclosure provides a debounced solid state switching device comprised of at least two insulated-gate bipolar transistors (“IGBTs”) within a parallel architecture. Multiple pairs of IGBTs may be used in a parallel architecture to extend ampacity and improve voltage withstand capability. The device provides improved flexibility and portability to facilitate time and cost efficiency, as the size and complexity of the device is directly dependent on the needs of the user. Furthermore, the procurement of the components of the device is simple, providing greater accessibility.

Abstract: Systems and methods for assessing cybersecurity risk of a computer network include the use of a risk model application that is configured to determine an initial cyber risk score value based upon an underwriting process. A cyber risk data stream is sent from the client’s computer network to the system processor to periodically calculate an updated cyber risk score based upon actual data. The system processor is adapted to use the data stream to generate client information that is accessible by the client via a web-based client portal. In embodiments, the cyber risk data stream can be actively monitored to identify a threat of a cybersecurity breach.

Abstract: Aspects of the present disclosure include systems, methods, computing devices, computer-implemented methods, and the like for modeling and/or simulating performance of a telecommunications network during one or more failure scenarios that reduces computational time and/or power over previous simulation techniques. Modeling and simulating the network may include generating an initial network model from network data information and applying one or more transformations to the initial network model to reduce the size of the model. Following transformation, simulation methods may be applied to the generated network model based on routing characteristics of the components of the network. To reduce the computations utilized to simulate such components and/or routing decisions in the network, one or more simulation algorithms may be applied to the transformed network model to reduce the number of routing decisions simulated.

Abstract: Systems and methods for assessing cybersecurity risk of a computer network include the use of a risk model application that is configured to determine an initial cyber risk score value based upon an underwriting process. A cyber risk data stream is sent from the client's computer network to the system processor to periodically calculate an updated cyber risk score based upon actual data. The system processor is adapted to use the data stream to generate client information that is accessible by the client via a web-based client portal. In embodiments, the cyber risk data stream can be actively monitored to identify a threat of a cybersecurity breach.

Abstract: A work machine includes a frame assembly supporting an idler and a drive sprocket. A track is looped around the idler and the drive sprocket. A track-adjust mechanism is configured to extend and to retract the frame assembly to adjust a tension of the track. A position sensor is configured to measure an extension of the track-adjust mechanism. A controller is configured to receive an extension measurement from the position sensor, determine a track tension based on the extension measurement, and output a track tension signal.

Abstract: A compound social network site can manage complex organizational entities, such as businesses, via a compound social network graph. Nodes of the compound social network graph are connected by compound edges which correspond to multiple tiers of profile data of the organizational entities.

Abstract: Evaluating recommended changes to a storage system, including: identifying, using predicted characteristics of workloads executing on the storage system, a preferred configuration change to the storage system that would improve the operation of the storage system; evaluating the predicted characteristics of workloads executing on the storage system and the preferred configuration change according to indicators; and recommending the preferred configuration change in accordance with the indicators.

Abstract: Aspects of the present disclosure include systems, methods, computing devices, computer-implemented methods, and the like for modeling and/or simulating performance of a telecommunications network during one or more failure scenarios that reduces computational time and/or power over previous simulation techniques. Modeling and simulating the network may include generating an initial network model from network data information and applying one or more transformations to the initial network model to reduce the size of the model. Following transformation, simulation methods may be applied to the generated network model based on routing characteristics of the components of the network. To reduce the computations utilized to simulate such components and/or routing decisions in the network, one or more simulation algorithms may be applied to the transformed network model to reduce the number of routing decisions simulated.

Abstract: A request for information (RFI) system is provided for use in communications networks including broadcast networks and the Internet. In one implementation, a code identifying an item of media content of interest (e.g. television, newspaper, magazines, billboards, radio) is captured and input to an RFI system that includes stored media tags and a search tool for matching inputs to the stored media tags. Upon receipt of the captured code, the RFI system matches the captured code with the stored media tags and provides a response to the user based on the match. The response may include or relate to follow-on or premium information relating to the content of interest. Using this information, an RFI data center or an RFI platform may credit value to a rewards account established for the network user based on the user's verified consumption of assets and/or data requests.

Abstract: Methods and systems for collecting and analyzing sensor data to predict water fixture failure and water consumption are provided. In one embodiment, a method is provided that includes receiving sensor data regarding a water fixture. Changepoints may then be calculated within the sensor data and the sensor data may be split into intervals at the changepoints. A machine learning model may then be used to classify the intervals and a status of the water fixture and water consumption may be identified based on the classified intervals.

Abstract: In-situ fluorimeters and methods and systems for collecting and analyzing sensor data to predict water source contamination are provided. In one embodiment, a method is provided that includes receiving sensor data regarding a water source. Changepoints may then be calculated within the sensor data and the sensor data may be split into intervals at the changepoints. A machine learning model may then be used to classify the intervals and a predicted contamination event for the water source may be identified based on the classified intervals. In another embodiment, an in-situ fluorimeter is provided. The in-situ fluorimeter comprises one or more UV LEDs centered around a pre-set excitation wavelength (e.g., a TLF excitation wavelength), a bandpass filter, a lens, a photodiode system, a machine learning platform; and an alarm triggered by contamination events, wherein the alarm is calibrated through the machine learning system.

Abstract: Guide systems for installing aircraft structures are disclosed. An example apparatus includes a first guide structured to be supported by a first hinge component of a first aircraft structure and a second guide structured to be supported by a second hinge component of a second aircraft structure. The first guide is to receive the second guide when the second structure is at an installation angle relative to the first structure. Engagement between the first guide and the second guide to enable rotational movement of the first hinge component and the second hinge component when the second aircraft structure moves to an installed position.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for selectively virtualizing software application functions are presented. An application package for a containerized software application may be received. The application package may comprise an application manifest and a virtualization exclusion for a first location of a global file system of the computing device. The containerized software application may be installed in a container comprising a virtual file system. An indication to write a first new file at the first location may be received by the containerized software application. A determination may be made that the first location comprises the virtualization exclusion. The first new file may be written to the first location of the global file system based on the determination that the first location comprises the virtualization exclusion.

Abstract: Managing network event data in a telecommunication network. The method includes obtaining a plurality of datasets having network event data associated with products provided by a different vendor, the network event data comprising a plurality of data instances representing a plurality of network event features. The method further comprises obtaining metadata describing the network event data in the datasets and generating feature description vectors from the obtained metadata, calculating a metric of the relation between network event features represented in the datasets and constructing a graph of the network event features represented in the datasets, with edges weighted according to the calculated metric, partitioning the graph into clusters by minimising an edge cut between network event features , labelling network event features in the cluster with a normalised network event feature index and inputting the labelled network event data to a model for making at least one of recommendations or predictions.

Abstract: Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

Abstract: Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

Abstract: Embodiments are directed towards methods of inducing caspase activity. The methods include contacting a cell with a treatment compound represented by the following Formula (I), where the treatment compound is a random copolymer, R1 is selected from hydrogen and a hydroxyl group, R2 is selected from hydrogen and a hydroxyl group, R1 is different than R2, and a sum of x and y is from 4 to 20,000.