Abstract: Aspects of the disclosure relate to monitoring a computing network to determine data exfiltration. A computing platform may use time-series modeling to determine anomalous network activity with respect to outgoing data. Additional aspects of this disclosure relate to analysis of web activities associated with a user to determine compromised user accounts/devices. The computing platform may use domain categorization to determine if web activity associated with a user is anomalous.

Abstract: A system may be configured to generate an estimate of value at risk and may include a processor to process instructions that cause the system to generate a rolling time series of value data having a plurality of dimensions, perform rotation transform of the time series, perform variance scaling and correlation scaling on transformed time series, reverse transform the results of the scaling, and estimate of a value-at-risk for the value data.

Abstract: A system can monitor event data corresponding to a current user experience of a requesting user during a current application session with a network service. Based on the event data, the system generates one or more representations corresponding to the current user experience of the requesting user, and executes a machine learning model to process the one or more representations in order to predict a negative user experience for the requesting user within a future time frame during the current application session. In response to predicting the negative user experience, the system implements one or more corrective actions during the current application session through the service application to prevent or mitigate the predicted negative user experience.

Abstract: Technologies and techniques for processing a user interface (UI) associated with a multi-nodal workflow in a medical software application. A processor-based workflow logic module processes a medical software application to determine branches of the workflow, wherein each of the branches include one or more nodes configured to receive a data input and provide a corresponding data output for the medical software application during execution. Serialization is executed on at least some of the branches to determine dependencies among at least some of the nodes in the branches. Progress of the workflow is monitored during execution of the medical software application, and used to execute UI applications and/or provide feedback data associated with the monitored progress.

Abstract: A computing system can receive event data corresponding to a user's experience with a network service. Based on the event data, the system can generate a set of representations that correspond to the user's experience with the network service. The representations may be analyzed and/or filtered by an artificial intelligence model executing on the computing system, which can predict negative experiences of users at future time intervals. Based on these predictions, the computing system can implement a set of corrective actions to steer the user experience to a more positive path.

Abstract: A physical container (e.g., a battery) may be filled up (charged) or emptied (discharged) with energy commensurate with requirements to post a particular amount of collateral. The disclosure provides computing systems and methods for processing data using a novel combination of wavelet techniques and rolling techniques to more efficiently detect seasonality in particular products (e.g., energy products) to more accurately model and determine collateral/margin requirements. A clearinghouse computing device may be configured to generate a margin requirement for a portfolio of products and may include a processor to process instructions that cause the clearinghouse computing device to perform wavelet decomposition and rolling methods on a historical database of records.

Abstract: A physical container (e.g., a battery) may be filled up (charged) or emptied (discharged) with energy commensurate with requirements to post a particular amount of collateral. The disclosure provides computing systems and methods for processing data using a novel combination of wavelet techniques and rolling techniques to more efficiently detect seasonality in particular products (e.g., energy products) to more accurately model and determine collateral/margin requirements. A clearinghouse computing device may be configured to generate a margin requirement for a portfolio of products and may include a processor to process instructions that cause the clearinghouse computing device to perform wavelet decomposition and rolling methods on a historical database of records.

Abstract: A server computing device executing an electronic health records application (EHR) receives an indication from a client computing device that approval from a pharmacy benefits manager (PBM) with respect to prescribing a medication and/or treatment to a patient is requested. The EHR causes the server computing device to transmit an approval request to a computing system of the PBM, and monitors incoming messages for an approval message from the PBM. When the approval message is received, the EHR constructs a prescription for the medication and/or treatment for the patient and causes the prescription to be transmitted to a pharmacy.

Abstract: Disclosed is a method for execution by a computing device. The method involves receiving user input regarding an ailment, and responsive to the user input, playing media content relating to the ailment. The media content can for example include guided meditation for coping with the ailment. In accordance with an embodiment of the disclosure, the method also involves, upon an opportunity to participate in a clinical trial relating to the ailment, presenting details of the opportunity. In this manner, people can be targeted for participation in the clinical trial based on their consumption of media content. In some implementations, responsive to user input regarding interest to participate in the clinical trial, the method also involves transmitting a message over a network indicating that interest. This can enable details of interested parties to be compiled by a server.

Abstract: Cellular therapy infusion devices for the delivery of media including cellular therapies to a patient's tissue, cells, and/or blood include a barrel, a plunger that fits within the barrel, a syringe shaft, and a pressure relief system configured to achieve and/or maintain a desired level of pressure and/or force within the device so that cellular behavior and/or viability is not adversely impacted by the mechanical forces exerted thereon via depressing the plunger into the barrel so the cellular therapy media may be pushed from the barrel into a patient delivery device for administration to the patient. The cellular therapy infusion devices may cooperate with and/or fit into cellular therapy infusion systems designed to create and/or maintain preferred conditions for the cellular therapy media stored in the barrel and automatically administer the cellular therapy media from the cellular therapy infusion device to the patient in a steady, regulated, and/or preferred manner.

Abstract: Cellular therapy infusion devices for the delivery of media including cellular therapies to a patient's tissue, cells, and/or blood include a barrel, a plunger that fits within the barrel, a syringe shaft, and a pressure relief system configured to achieve and/or maintain a desired level of pressure and/or force within the device so that cellular behavior and/or viability is not adversely impacted by the mechanical forces exerted thereon via depressing the plunger into the barrel so the cellular therapy media may be pushed from the barrel into a patient delivery device for administration to the patient. The cellular therapy infusion devices may cooperate with and/or fit into cellular therapy infusion systems designed to create and/or maintain preferred conditions for the cellular therapy media stored in the barrel and automatically administer the cellular therapy media from the cellular therapy infusion device to the patient in a steady, regulated, and/or preferred manner.

Abstract: A system may be configured to generate an estimate of value at risk and may include a processor to process instructions that cause the system to generate a rolling time series of value data having a plurality of dimensions, perform rotation transform of the time series, perform variance scaling and correlation scaling on transformed time series, reverse transform the results of the scaling, and estimate of a value-at-risk for the value data.

Abstract: A physical container (e.g., a battery) may be filled up (charged) or emptied (discharged) with energy commensurate with requirements to post a particular amount of collateral. The disclosure provides computing systems and methods for processing data using a novel combination of wavelet techniques and rolling techniques to more efficiently detect seasonality in particular products (e.g., energy products) to more accurately model and determine collateral/margin requirements. A clearinghouse computing device may be configured to generate a margin requirement for a portfolio of products and may include a processor to process instructions that cause the clearinghouse computing device to perform wavelet decomposition and rolling methods on a historical database of records.

Abstract: A clearinghouse computing device may be configured to generate a margin requirement for a portfolio of financial products and may include a processor to process instructions that cause the clearinghouse computing device to retrieve a plurality of pricing records from a historical pricing database, process the plurality of pricing records to generate rolling time series pricing records for at least one financial product having a plurality of dimensions, reduce the number of dimensions from a starting dimension to a reduced dimension, perform variance scaling and correlation scaling on the reduced dimension rolling time series pricing records, and generate a margin requirement based on a value-at-risk calculation.

Abstract: A server computing device executing an electronic health records (EHR) receives an indication from a client computing device that approval from a pharmacy benefits manager (PBM) with respect to prescribing a medication and/or treatment to a patient is requested. The EHR causes the server computing device to transmit an approval request to a computing system of the PBM, and monitors incoming messages for an approval message from the PBM. When the approval message is received, the ERR constructs a prescription for the medication and/or treatment for the patient and causes the prescription to be transmitted to a pharmacy.

Abstract: A physical container (e.g., a battery) may be filled up (charged) or emptied (discharged) with energy commensurate with requirements to post a particular amount of collateral. The disclosure provides computing systems and methods for processing data using a novel combination of wavelet techniques and rolling techniques to more efficiently detect seasonality in particular products (e.g., energy products) to more accurately model and determine collateral/margin requirements. A clearinghouse computing device may be configured to generate a margin requirement for a portfolio of products and may include a processor to process instructions that cause the clearinghouse computing device to perform wavelet decomposition and rolling methods on a historical database of records.

Abstract: The disclosed computer-implemented method for preventing malicious applications from exploiting application services may include (i) identifying an attempt by an application, executing within a sandboxed environment that isolates the application's data and code execution from at least one other application executing within an operating system on the computing device, to launch at least one application service, (ii) determining that the application represents a potential security risk, (iii) prompting a user of the computing device to remediate the potential security risk posed by the application by performing a recommended security action, and (iv) while waiting for the user to perform the recommended security action, securing the computing device by blocking the attempt by the application to launch the application service. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A physical container (e.g., a battery) may be filled up (charged) or emptied (discharged) with energy commensurate with requirements to post a particular amount of collateral. The disclosure provides computing systems and methods for processing data using a novel combination of wavelet techniques and rolling techniques to more efficiently detect seasonality in particular products (e.g., energy products) to more accurately model and determine collateral/margin requirements. A clearinghouse computing device may be configured to generate a margin requirement for a portfolio of products and may include a processor to process instructions that cause the clearinghouse computing device to perform wavelet decomposition and rolling methods on a historical database of records.

Abstract: A physical container (e.g., a battery) may be filled up (charged) or emptied (discharged) with energy commensurate with requirements to post a particular amount of collateral. The disclosure provides computing systems and methods for processing data using a novel combination of wavelet techniques and rolling techniques to more efficiently detect seasonality in particular products (e.g., energy products) to more accurately model and determine collateral/margin requirements. A clearinghouse computing device may be configured to generate a margin requirement for a portfolio of products and may include a processor to process instructions that cause the clearinghouse computing device to perform wavelet decomposition and rolling methods on a historical database of records.

Abstract: A computing system can receive event data corresponding to a user's experience with a network service. Based on the event data, the system can generate a set of representations that correspond to the user's experience with the network service. The representations may be analyzed and/or filtered by an artificial intelligence model executing on the computing system, which can predict negative experiences of users at future time intervals. Based on these predictions, the computing system can implement a set of corrective actions to steer the user experience to a more positive path.