Abstract: Aggregating viewership data is disclosed. Initially, household viewership data assigned to a tuning event in multiple households is accessed. Then, the household viewership data for the tuning event in the multiple households representing the same episode is aggregated to generate episode viewership data. Next, episode viewership data representing multiple episodes of the same program is aggregated to generate program viewership data. Next, the program viewership data for multiple programs of the same network is aggregated to generate network viewership data. Finally, the network viewership data for multiple commonly-owned networks is aggregated to generate entity viewership data.

Abstract: Aggregating viewership data is disclosed. Initially, household viewership data assigned to a tuning event in multiple households is accessed. Then, the household viewership data for the tuning event in the multiple households representing the same episode is aggregated to generate episode viewership data. Next, episode viewership data representing multiple episodes of the same program is aggregated to generate program viewership data. Next, the program viewership data for multiple programs of the same network is aggregated to generate network viewership data. Finally, the network viewership data for multiple commonly-owned networks is aggregated to generate entity viewership data.

Abstract: Tuning data representing a television viewing event associated with a particular household is accessed. Household member data representing information on individual members of the particular household is accessed. Viewing profile data representing information on individual members of other households regarding viewership by the individual members of the other households is accessed. Fractional viewership values for the individual members of the particular household are determined based on the tuning data, the household member data, and the viewing profile data. Household viewership data is determined based on the fractional viewership values.

Abstract: Systems and methods for collecting samples from a patient for diagnosis are provided. In many embodiments, the sample collection and analysis system concentrates particles emanating from a patient's cough, sneeze, or breathe in a sample for the diagnosis of a respiratory tract infection or other ailment of the patient. The sample collection and analysis system has a pre-collection assembly (that is patient interface, a collector in fluid communication with a sample reservoir that function in combination to: efficiently capture the volume of air expelled from the subject, direct the expelled air towards a sample reservoir, and separate the desired particle sizes from the expelled air into the sample reservoir.

Abstract: An aerosol biological collector/analyzer, and method of collecting and analyzing an aerosol sample for diagnosis is provided. In particular, the current invention is directed to an airborne aerosol collection and bacterial analysis system and method, capable of collecting an airborne aerosol sample and preparing it for analysis via aerodynamic shock in a single-step.

Abstract: Tuning data representing a television viewing event associated with a particular household is accessed. Household member data representing information on individual members of the particular household is accessed. Viewing profile data representing information on individual members of other households regarding viewership by the individual members of the other households is accessed. Fractional viewership values for the individual members of the particular household are determined based on the tuning data, the household member data, and the viewing profile data. Household viewership data is determined based on the fractional viewership values.

Abstract: In general, systems, components, methods, and techniques for gathering, recording, and development of accurate user demographics attributed to accesses by client systems of webpage, web content, or other online resources is provided. For a given a subset of unique users having known demographics for a segment of traffic or general population, a demographic profile may be created for all users of the segment or population within a tolerable margin of error. Demographic data for unique machine identifications (IDs) may be assigned, aggregated, and derived from a single source, or multiple sources, such as panel data, beacon level surveys, cookie exchanges, and the overlay of profile cookies from other publishers.

Abstract: Usage data representing the access of a set of resources on a network is accessed. The usage data is based at least in part on information received from client systems sent as a result of beacon instructions included with the set of resources. First and second sets of usage data representing access by client systems classified as a first type and a second type, respectively, are determined based on the accessed usage data. Counts of unique visitors accessing the network resources from each of the first and second types of client systems, based on the first and sets of usage data, respectively, are each determined. A total count of unique visitors accessing the network resources from the first and second types of client systems is determined based on data representing the usage overlap of devices of the first type with devices of the second type.

Abstract: Systems and methods for collecting samples from a patient for diagnosis are provided. In many embodiments, the sample collection and analysis system concentrates particles emanating from a patient's cough, sneeze, or breathe in a sample for the diagnosis of a respiratory tract infection or other ailment of the patient. The sample collection and analysis system has a pre-collection assembly (that is patient interface, a collector in fluid communication with a sample reservoir that function in combination to: efficiently capture the volume of air expelled from the subject, direct the expelled air towards a sample reservoir, and separate the desired particle sizes from the expelled air into the sample reservoir.

Abstract: Tuning data representing a television viewing event associated with a particular household is accessed. Household member data representing information on individual members of the particular household is accessed. Viewing profile data representing information on individual members of other households regarding viewership by the individual members of the other households is accessed. Fractional viewership values for the individual members of the particular household are determined based on the tuning data, the household member data, and the viewing profile data. Household viewership data is determined based on the fractional viewership values.

Abstract: In general, systems, components, methods, and techniques for gathering, recording, and development of accurate user demographics attributed to accesses by client systems of webpage, web content, or other online resources is provided. For a given a subset of unique users having known demographics for a segment of traffic or general population, a demographic profile may be created for all users of the segment or population within a tolerable margin of error. Demographic data for unique machine identifications (IDs) may be assigned, aggregated, and derived from a single source, or multiple sources, such as panel data, beacon level surveys, cookie exchanges, and the overlay of profile cookies from other publishers.

Abstract: An aerosol biological collector/analyzer, and method of collecting and analyzing an aerosol sample for diagnosis is provided. In particular, the current invention is directed to an airborne aerosol collection and bacterial analysis system and method, capable of collecting an airborne aerosol sample and preparing it for analysis via aerodynamic shock in a single-step.

Abstract: Usage data representing the access of a set of resources on a network is accessed. The usage data is based at least in part on information received from client systems sent as a result of beacon instructions included with the set of resources. First and second sets of usage data representing access by client systems classified as a first type and a second type, respectively, are determined based on the accessed usage data. Counts of unique visitors accessing the network resources from each of the first and second types of client systems, based on the first and sets of usage data, respectively, are each determined. A total count of unique visitors accessing the network resources from the first and second types of client systems is determined based on data representing the usage overlap of devices of the first type with devices of the second type.