Abstract: A device receives vehicle data associated with vehicles located at a vehicle dealership lot, and receives, from a user device, profile data identifying a user of the user device and data identifying a particular vehicle of the vehicles. The device compares the data identifying the particular vehicle and the vehicle data to determine particular vehicle data associated with the particular vehicle, and processes the particular vehicle data and the profile data of the user, with a first model, to determine purchase options for the particular vehicle and the user. The device provides, to the user device, the particular vehicle data and the purchase options for the particular vehicle to cause the user device to display the particular vehicle data and the purchase options for the particular vehicle.

Abstract: A multi-tenant application that provides high speed data services to one or more subscriber devices. High speed data services may include one or more of Dynamic Host Configuration Protocol (DHCP) services, software upgrade services, and Profile Management Application (PMA) services. The multi-tenant application comprises one or more first servers that each perform packet switching and routing and one or more second servers that each perform FCAPS functions for the one or more subscriber devices. FCAPS functions comprise fault operations, configuration operations, accounting operations, performance operations, and security operations. Second servers may be implemented entirely within an application-specific logical host composed of one or more application containers and may optionally each further perform network functions and user plane functions for the one or more subscriber devices.

Abstract: Disclosed herein are system, method, and computer program product embodiments for identifying and managing emerging risks. Businesses, such as those participating in regulated industries, may need to regularly monitor enforcement actions that are cited in a variety of sources. Embodiments disclosed herein provide for scraping information from those sources and comparing it to existing risk events in order to determine possible discrepancies that should be assessed.

Abstract: Disclosed herein are system, method, and computer program product embodiments for identifying and managing emerging risks. Businesses, such as those participating in regulated industries, may need to regularly monitor enforcement actions that are cited in a variety of sources. Embodiments disclosed herein provide for scraping information from those sources and comparing it to existing risk events in order to determine possible discrepancies that should be assessed.

Abstract: A multi-tenant application that provides high speed data services to one or more subscriber devices. The multi-tenant application comprises one or more first servers that each perform packet switching and routing and one or more second servers that each perform FCAPS functions for the one or more subscriber devices. FCAPS functions comprise fault operations, configuration operations, accounting operations, performance operations, and security operations. Each of the one or more first and second servers are implemented entirely within an application-specific logical host composed of one or more application containers. The one or more second servers may optionally each further perform network functions and user plane functions for the one or more subscriber devices. The one or more second servers may optionally each further perform OLT control functions and OLT MAC/PHY functions for the one or more subscriber devices.

Abstract: A device receives vehicle data associated with vehicles located at a vehicle dealership lot, and receives, from a user device, profile data identifying a user of the user device and data identifying a particular vehicle of the vehicles. The device compares the data identifying the particular vehicle and the vehicle data to determine particular vehicle data associated with the particular vehicle, and processes the particular vehicle data and the profile data of the user, with a first model, to determine purchase options for the particular vehicle and the user. The device provides, to the user device, the particular vehicle data and the purchase options for the particular vehicle to cause the user device to display the particular vehicle data and the purchase options for the particular vehicle.

Abstract: The invention discloses a first unit (1) for treatment of a bioprocess liquid comprising a first lateral face (2), a second lateral face (3) and a front face (4) which meets the two said lateral faces. The front face comprises: a plurality of valves (7) adapted to receive and act upon one or more legs (8) of a disposable flow path (6); optionally one or more pumps (10) adapted to receive and act upon one or more legs of the disposable flow path; optionally one or more sensors (11) adapted to receive and to measure one or more parameters in one or more legs of the disposable flow path; wherein the plurality of valves and optional pumps and sensors are vertically offset from each other to give one or more legs of a disposable flow path received by said valves and optional pumps and sensors a slope of at least 3.0 degrees from the horizontal plane (h).

Abstract: Approaches for processing packets transmitted within a Passive Optical Network (PON) using executable software. Processing packets within a PON may be performed by classifying one or more packets, of a plurality of received packets, to a particular PON system component, and then processing the one or more packets classified to the same PON system component on a single physical or virtual processor. The one or more packets may be forwarded between a sequence of one or more software stages. The software stages may each be configured to execute on separate logical cores or on a single logical core.

Abstract: A computer-implemented method for determining a reward associated with one or more transactions of a user may comprise obtaining travel data of the user via a device associated with the user, wherein the travel data includes travel dates of the user; obtaining, via one or more processors, exchange rate data based on the travel data of the user; determining, via the one or more processors, a value of the reward associated with the one or more transactions of the user during the travel dates based on the exchange rate data; transmitting, to the user, a notification indicative of the reward associated with the one or more transactions; and causing the reward associated with the one or more transactions to be directed to a financial account associated with the user.

Abstract: A computer-implemented method for determining a reward associated with one or more transactions of a user may comprise obtaining travel data of the user via a device associated with the user, wherein the travel data includes travel dates of the user; obtaining, via one or more processors, exchange rate data based on the travel data of the user; determining, via the one or more processors, a value of the reward associated with the one or more transactions of the user during the travel dates based on the exchange rate data; transmitting, to the user, a notification indicative of the reward associated with the one or more transactions; and causing the reward associated with the one or more transactions to be directed to a financial account associated with the user.

Abstract: Approaches for performing all DOCSIS downstream and upstream data forwarding functions using executable software. DOCSIS data forwarding functions may be performed by classifying one or more packets, of a plurality of received packets, to a particular DOCSIS system component, and then processing the one or more packets classified to the same DOCSIS system component on a single CPU core. The one or more packets may be forwarded between a sequence of one or more software stages. The software stages may each be configured to execute on separate logical cores or on a single logical core.

Abstract: The disclosure generally relates to methods and apparatus for the efficient quantitative recovery of valuable biological fluids from filtration systems, more particularly to efficient quantitative recovery of valuable biological fluids from high precision separation systems suitable for use in the pharmaceutical and biotechnology industries.

Abstract: A retractable, height-adjustable urinal requiring no water that can be enclosed into a separate closed compartment for cleaning/disinfecting along with a waterless toilet that packages and disposes of solid waste, in a smaller place.

Abstract: A computer-implemented method for determining a reward associated with one or more transactions of a user may comprise obtaining travel data of the user via a device associated with the user, wherein the travel data includes travel dates of the user; obtaining, via one or more processors, exchange rate data based on the travel data of the user; determining, via the one or more processors, a value of the reward associated with the one or more transactions of the user during the travel dates based on the exchange rate data; transmitting, to the user, a notification indicative of the reward associated with the one or more transactions; and causing the reward associated with the one or more transactions to be directed to a financial account associated with the user.

Abstract: Disclosed herein are system, method, and computer program product embodiments for identifying and managing emerging risks. Businesses, such as those participating in regulated industries, may need to regularly monitor enforcement actions that are cited in a variety of sources. Embodiments disclosed herein provide for scraping information from those sources and comparing it to existing risk events in order to determine possible discrepancies that should be assessed.

Abstract: A multi-tenant application that provides high speed data services to one or more subscriber devices. The multi-tenant application comprises one or more first servers that each perform packet switching and routing and one or more second servers that each perform FCAPS functions for the one or more subscriber devices. FCAPS functions comprise fault operations, configuration operations, accounting operations, performance operations, and security operations. Each of the one or more first and second servers are implemented entirely within an application-specific logical host composed of one or more application containers. The one or more second servers may optionally each further perform network functions and user plane functions for the one or more subscriber devices. The one or more second servers may optionally each further perform OLT control functions and OLT MAC/PHY functions for the one or more subscriber devices.

Abstract: The present disclosure provides methods and systems for collecting and processing user transaction information for determining a financial profile associated with an income generating activity of a user. One exemplary method comprises: accessing email data associated with a user of an account associated with a financial service; monitoring a user financial profile by scanning the email data associated with the user and identifying email messages including transaction information associated with an income generating activity; extracting income information by determining an amount of payment to the user from the identified email messages; determining user income associated with the income generating activity within a previous period based on the extracted income information; and generating, based on the user income within the previous period, an output indicating an adjustment of at least one service term of the account of the financial service.

Abstract: A device may receive third-party data associated with merchants and may receive customer interest data associated with customers of the merchants, wherein the customer interest data includes data identifying locations of the customers and birthdates of the customers. The device may train a machine learning model, with the third-party data and the customer interest data, to generate a trained machine learning model. The device may receive, from a user device, data identifying a location and a birthdate of a particular customer of a particular merchant, wherein the particular merchant is one of the merchants, and may process the data identifying the location and the birthdate of the particular customer, with the trained machine learning model, to determine a predicted interest of the particular customer. The device may perform one or more actions based on the interest of the particular customer.

Abstract: The invention discloses a first unit (1) for treatment of a bioprocess liquid comprising a first lateral face (2), a second lateral face (3) and a front face (4) which meets the two said lateral faces. The front face comprises: a plurality of valves (7) adapted to receive and act upon one or more legs (8) of a disposable flow path (6); optionally one or more pumps (10) adapted to receive and act upon one or more legs of the disposable flow path; optionally one or more sensors (11) adapted to receive and to measure one or more parameters in one or more legs of the disposable flow path; wherein the plurality of valves and optional pumps and sensors are vertically offset from each other to give one or more legs of a disposable flow path received by said valves and optional pumps and sensors a slope of at least 3.0 degrees from the horizontal plane (h).

Abstract: A device may receive third-party data associated with merchants and may receive customer interest data associated with customers of the merchants, wherein the customer interest data includes data identifying locations of the customers and birthdates of the customers. The device may train a machine learning model, with the third-party data and the customer interest data, to generate a trained machine learning model. The device may receive, from a user device, data identifying a location and a birthdate of a particular customer of a particular merchant, wherein the particular merchant is one of the merchants, and may process the data identifying the location and the birthdate of the particular customer, with the trained machine learning model, to determine a predicted interest of the particular customer. The device may perform one or more actions based on the interest of the particular customer.