Abstract: A system, method, computer program product and computer processor-implemented method of generating a header detail record (HDR) for a hypertext transport protocol (HTTP) data browsing user accessing network resources, may include: receiving, by at least one computer processor, packet data from at least one probe tapping into at least one network element of a data network of a communications services provider, said packet data comprising: header data, and payload data; analyzing said packet data comprising: extracting at least one header detail record (HDR) from said header data and said payload data for all said packet data, and creating said at least one header detail record (HDR).

Abstract: A system, method, computer program product and computer processor-implemented method of generating a header detail record (HDR) for a hypertext transport protocol (HTTP) data browsing user accessing network resources, may include: receiving, by at least one computer processor, packet data from at least one probe tapping into at least one network element of a data network of a communications services provider, said packet data comprising: header data, and payload data; analyzing said packet data comprising: extracting at least one header detail record (HDR) from said header data and said payload data for all said packet data, and creating said at least one header detail record (HDR).

Abstract: An exemplary system, method, and/or computer program product may programmatically by computer processor(s) combine various exemplary data elements to create an analyzed and calculated predictive device location, categorized by time of day for one or more devices. The exemplary method may take in as input(s) exemplary passive data that results from geolocated communication events such as wireless voice calls, data sessions and/or wireless communications tower or network hotspot information. The inputs, according to an embodiment may be combined and enriched with exemplary Latitude/Longitude reference data to provide a location history for an exemplary device. Based on analysis of frequented locations and time periods, the detailed location history information for a device may be probability weighted (e.g., scored) to predict where the device will be, at a given future time, based on the given device's detailed location history, and exemplary time of day, e.g., morning, afternoon, night, etc.

Abstract: A method of suppressing or curbing appetite and treating or preventing obesity comprising administering to a human or other mammal in need of such treatment an effective amount of plant material derived or derivable from plants of the genera Stapelia and Orbea.

Abstract: A method of suppressing or curbing appetite and treating or preventing obesity comprising administering to a human or other mammal in need of such treatment an effective amount of plant material derived or derivable from plants of the genera Stapelia and Orbea.