Abstract: An apparatus comprises a processing device configured to monitor for events associated with users interacting with an e-commerce platform, to identify an event type of a given event associated with a given user interacting with the e-commerce platform, and to select, based on the identified event type, at least one of a plurality of machine learning models configured to characterize different types of potentially malicious behavior on the e-commerce platform. The processing device is also configured to determine, utilizing the selected at least one machine learning model, whether the given user is exhibiting at least one of the different types of potentially malicious behavior. The processing device is also configured, responsive to determining that the given user is exhibiting at least one of the different types of potentially malicious behavior, to initiate actions on the e-commerce platform to prevent or mitigate an effect of the potentially malicious behavior.

Abstract: This invention describes ways of obtaining nano-particulated adjuvants formed by different synthetic variants of GM3 ganglioside. Depending on the fine structure of the fatty acid in the ceramide of the synthetic GM3, said adjuvants are able to stimulate specifically and in a specialized way the humoral or cellular immune response against accompanying antigens. Particularly, this invention provides immunogenic vaccine compositions that comprise peptides, polypeptides or proteins and the aforementioned nanoparticles, which are formed through the dispersion of hydrophobic proteins of the outer membrane complex (OMC) of Neisseria meningitidis in solutions containing fully synthetic variants of the GM3 ganglioside.

Abstract: In a first aspect of the invention, there is a computer-implemented method including: training, by a computing device, a machine learning (ML) model on a financial data set comprising data on financial behavior applicable to repaying debts; entering, by a computing device, an interaction with a user regarding renegotiating a debt; and generating, by the computing device, a proposed payment plan for the debt, based on user data of the user, and using the ML model trained on the financial data set.

Abstract: A wiper assembly includes a bent arm providing a channel. The bent arm is configured to connect to a shaft of an actuator. The wiper assembly additionally includes a wiper blade slidably received within the channel. A method includes securing a bent arm to a shaft of an actuator, and biasing a wiper blade against a window during the securing.

Abstract: A wayside station communicates with a plurality of mobile stations over a wireless communication network. In one embodiment, a wayside station includes a transceiver configured to receive an inbound signal from a mobile station and to transmit an outbound signal to the mobile station. The transceiver has a first switch that is configured to selectively deliver the inbound signal to one of a first band pass filter (BPF) and a second BPF. A second switch is coupled to the first BPF and to the second BPF, and configured to selectively receive the inbound signal from one of the first BPF and the second BPF. A detector is coupled to the second switch and configured to detect the inbound signal, to convert the inbound signal to inbound data and to transfer the inbound data to a processor. The processor decodes the inbound data and processes the data.