Abstract: A computer system is provided. The computer system may be programmed to: (a) receive appliance data relating to a first appliance; (b) compute, using an artificial intelligence model, a predicted remaining lifetime of the first appliance based upon the received appliance data, wherein the artificial intelligence model is trained based upon historical appliance data including historical lifetimes of appliances; and/or (c) transmit content data to a user device that, when received by the user device, causes the user device to generate a user interface including at least the predicted remaining lifetime.

Abstract: A senior living computer platform is provided, as well as systems and methods for using a senior living computer platform to facilitate senior engagement with their daily schedule and caregivers associated with the seniors, and coordinate care between caregivers. In particular, the present embodiments relate to enhanced communication techniques between a senior and their family/friends via a social networking application. For instance, “stories functionality” is provided within a social networking application running on the senior's mobile device that allows the senior to interact with their virtual care circle. The senior may “video answer” several life experience questions, and/or otherwise record video stories, memories, and/or life experiences for sharing with their family and friends within the social networking application.

Abstract: A system for implementing a transmission log bucketing tool that provides an optimized transmission log storage and retrieval scheme. The system may comprise a processor and memory storing instructions that cause the processor to perform operations. The operations may comprise generating a manifest that comprises a transmission log table, obtaining a first set of transmission logs, evaluating the first set of transmission logs against the manifest to determine a first set of respectively corresponding shard keys, and utilizing the first set of respectively corresponding shard keys to at least one from among store the first set of transmission logs and retrieve the first set of transmission logs.

Abstract: A senior living computer platform is provided, as well as systems and methods for using a senior living computer platform to facilitate senior engagement with their daily schedule and caregivers associated with the seniors, and coordinate care between caregivers. In particular, the present embodiments relate to enhanced communication techniques between a senior and their family/friends via a social networking application. For instance, “stories functionality” is provided within a social networking application running on the senior's mobile device that allows the senior to interact with their virtual care circle. The senior may “video answer” several life experience questions, and/or otherwise record video stories, memories, and/or life experiences for sharing with their family and friends within the social networking application.

Abstract: Described herein are compositions comprising xanthommatin, or a derivative or precursor thereof, and a paint matrix. Within the composition, the xanthommatin, or a derivative or precursor thereof, is in molecular form, not as a particle, and is uniformly distributed throughout a paint matrix. This provides paint coatings with specific thermal performance and desired visible color. Also described herein are methods of preparing and using the compositions described herein.

Abstract: A system for implementing a transmission log bucketing tool that provides an optimized transmission log storage and retrieval scheme. The system may comprise a processor and memory storing instructions that cause the processor to perform operations. The operations may comprise generating a manifest that comprises a transmission log table, obtaining a first set of transmission logs, evaluating the first set of transmission logs against the manifest to determine a first set of respectively corresponding shard keys, and utilizing the first set of respectively corresponding shard keys to at least one from among store the first set of transmission logs and retrieve the first set of transmission logs.

Abstract: A senior living computer platform is provided, as well as systems and methods for using a senior living computer platform to facilitate senior engagement with their daily schedule and caregivers associated with the seniors, and coordinate care between caregivers. In particular, the present embodiments relate to enhanced communication techniques between a senior and their family/friends via a social networking application. For instance, “stories functionality” is provided within a social networking application running on the senior's mobile device that allows the senior to interact with their virtual care circle. The senior may “video answer” several life experience questions, and/or otherwise record video stories, memories, and/or life experiences for sharing with their family and friends within the social networking application.

Abstract: A predictive programmatic system (100) uses an addressable asset delivery system to provide audience information for non-addressable asset delivery opportunities. The illustrated system (100) is implemented in connection with an addressable asset delivery system (102) deployed, for example, in a cable or satellite television network. The addressable asset delivery system (102) is used to address assets to user devices 104 of a communications network. An asset provider may request dissemination of an asset over the communications network via a contracting platform (106). A targeting module (108) is operative for accessing audience information (110) and providing targeting information to the contracting platform (106).

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: 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 R1 is selected from hydrogen or an alkyl group having from 1 to about 16 carbon atoms; R2 is selected from a hydroxyl group, a tosylate group, an alkoxy group of the formula OR3 where R3 is selected from an alkyl group having from 1 to about 16 carbon atoms, or an ester group of the formula OCOR4, where R4 is an alkyl group having from 1 to about 16 carbon atoms, and n is from 4 to 46,000, with the proviso that when R1 is hydrogen and R2 is a hydroxy group the treatment compound has a number average molecular weight from 10,100 to 2,000,0000 g/mol.

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: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a property; (2) receiving a user proposal to improve a home score factors of one or more home score factors; (3) determining one or more updated home score factors, wherein the determining includes: (i) analyzing the home data for the property to determine home characteristic data for the property, (ii) analyzing the home characteristic data for the property and the user proposal to determine predicted home characteristic data for the property, (iii) weighting the predicted home characteristic data using at least the identification data to generate weighted home characteristic data, and (iv) determining the one or more updated home score factors; and (4) generating an updated proposal based on the weighted home characteristic data and the user proposal.

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: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a property; (2) determining, based upon the home data for the property, one or more home score factors, wherein the determining may include: (i) analyzing, using a trained machine learning data evaluation model, the home data for the property to determine home characteristic data for the property, (ii) analyzing, using the trained machine learning data evaluation model, the home data for the property to determine a likelihood of loss associated with the property, and (iii) determining, based upon the home characteristic data for the property and the likelihood of loss associated with the property; and (3) generating, based upon the one or more home score factors, a home score for the property.

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 are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a property; (2) determining, based upon the home data for the property, one or more home score factors, wherein the determining may include: (i) analyzing, using a trained machine learning data evaluation model, the home data for the property to determine home characteristic data for the property, (ii) analyzing, using the trained machine learning data evaluation model, the home data for the property to determine a likelihood of loss associated with the property, and (iii) determining, based upon the home characteristic data for the property and the likelihood of loss associated with the property; and (3) generating, based upon the one or more home score factors, a home score for the property.

Abstract: A computer system is provided. The computer system may be programmed to: (a) receive appliance data relating to a first appliance; (b) compute, using an artificial intelligence model, a predicted remaining lifetime of the first appliance based upon the received appliance data of the first appliance, wherein the artificial intelligence model is trained based upon historical appliance data including data associated with historical lifetimes of similar appliances; (c) determine whether the predicted remaining lifetime exceeds a first threshold; (d) if the determination is that the predicted remaining lifetime exceeds the first threshold, determine one or more replacements for the first appliance; and/or (e) transmit content data to a user device that, when received by the user device, causes the user device to generate a user interface including at least the predicted remaining lifetime of the first appliance and the determined one or more replacements for the first appliance.

Abstract: The disclosure provides methods, apparatus and machine-readable mediums for the detection of sleeping cells in a cellular network. A method of detecting a sleeping cell in a cellular communication network comprises: monitoring power consumption of a radio transmission point of the cellular communication network; providing the power consumption of the radio transmission point as an input to a classification model, developed using a machine-learning algorithm; and obtaining an output from the classification model, the output classifying the radio transmission point as serving one of a sleeping cell and a non-sleeping cell.

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.

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.