Abstract: Systems and methods of the present disclosure enable a processor to automatically detect anomalous user-specified data by receiving an electronic activity verification associated with an electronic activity of a user account, including a value associated with an electronic activity, and a user-specified value indicative of an additional value specified by a user for the electronic activity. The processor generates a feature vector including the verified value and the user-specified value and utilizes an anomalous attribute classification model to ingest the feature vector to determine an anomaly classification based on learned model parameters. The processor generates a dispute graphical user interface (GUI) including an alert message and a dispute interface element, that upon a user interaction causes an electronic request to dispute the electronic activity verification to prevent an execution of the electronic activity.

Abstract: A system including: one or more processors; a memory storing instructions that, when executed by the one or more processors are configured to cause the system to receive primary and secondary user account data. The system generates one or more predictive model systems based on the primary and secondary user account data. The system receives a first input from the primary user corresponding to a first spending limitation for the secondary user. The system identifies a first transaction of the secondary user exceeding the spending limitation and determines using the one or more predictive model systems whether to authorize a spending limitation override. The system automatically authorizes the spending limitation override when the first transaction exceeds the spending limitation by less than a predetermined threshold. The system can also identify and automatically fund recurring transactions with an associated funding account using the one or more predictive model systems.

Abstract: Example methods, apparatus, and computer readable storage media are described and disclosed. An example method includes depicting a strategy node in a graphical user interface presented by a computing device. The strategy node represents a trading strategy associated with two or more tradeable objects. The example method includes generating a graphical connector between the strategy node and one of a plurality of contract nodes including at least a first contract node and a second contract node. Each contract node represents a contract associated with one of the tradeable objects. The example method includes repositioning, in response to an input received via the graphical interface, an endpoint of the graphical connector from the first contract node specified by the trading strategy to the second contract node. The example method also includes generating an updated trading strategy based on the trading strategy and the second contract node.

Abstract: Substituted bicyclic aromatic carboxamide and urea compounds as vanilloid receptor ligands, pharmaceutical compositions containing these compounds, and a method of using these compounds in the treatment and/or inhibition of pain and further diseases and/or disorders mediated at least in part via the vanilloid receptor 1 (VR1/TRPV1).