Abstract:
Disclosed examples determine a first level of loyalty to a brand for a household based on first data records of consumer data corresponding to a first period of time; determine a second level of loyalty to the brand for the household based on second data records of consumer data corresponding to a second period of time after the first time period; determine consumer metrics based on the first level of loyalty and the second level of loyalty; and generate a report based on the consumer metrics.
Abstract:
Disclosed examples include at least one memory, instructions, and processor circuitry to execute the instructions to generate a device graph, the device graph to represent links between ones of personally identifiable information nodes and ones of device nodes, generate person-clusters based on the device graph, the person-clusters based on the links and community detection hyperparameter values, generate a node-to-person lookup structure based on the person-clusters, and deduplicate impression data based on the node-to-person lookup structure.
Abstract:
A disclosed apparatus includes a connection detector to detect a communication as including a request to connect to a device at a data link layer of an Open Systems Interconnection model; a threat monitor to determine whether the communication is a threat; and a threat manager to, when the threat monitor determines the communication is a threat, at least one of generate a notification to prompt a user about the threat or block the communication.
Abstract:
A disclosed example method to predict an injury for a target player on a target date includes determining a first probability of injury of the target player based on probabilities of injuries of second players having similarities with the target player; determining a second probability of injury of the target player based on injuries of the target player; determining a third probability of injury of the target player based on the first probability of injury of the target player and the second probability of injury of the target player; and generating, by executing an instruction with the processor, a report of a predicted probability of injury of the target player for the target date based on the third probability of injury of the target player.
Abstract:
Examples disclosed herein to perform non-destructive dynamic modulus measurements of materials include transmitting a shear wave signal through a brake pad along an out-of-plane axis of the brake pad, the brake pad including a friction material bonded to a backing plate; determining a first time-of-flight of the shear wave signal through the brake pad; determining a sound velocity of the friction material of the brake pad based on the first time-of-flight of the shear wave signal along the out-of-plane axis, a second time-of-flight of the shear wave signal through the backing plate of the brake pad along the out-of-plane axis, and a thickness of the friction material, without using a third time-of-flight along any other axis of the brake pad; and determining a dynamic modulus per unit density of the friction material based on the sound velocity of the friction material.
Abstract:
A disclosed example to modulate slit stress in a semiconductor substrate includes controlling a first process to apply a first material to a semiconductor substrate. The semiconductor substrate includes a slit between adjacent stacked transistor layers. The first material coats walls of the slit to reduce a first width of the slit between the adjacent stacked transistor layers to a second width. A second process is controlled to apply a second material to the semiconductor substrate. The second material is to be deposited in the second width of the slit. The first material and the second material are to form a solid structure in the slit between the adjacent stacked transistor layers.
Abstract:
A disclosed example sense programmed states of memory cells includes starting a counter at a time of activating a plurality of memory cells. Binary values are obtained based on sense amplifiers in circuit with the memory cells in response to the counter reaching a trigger count value. A programmed state of the memory cells is determined based on the binary values.
Abstract:
Methods and apparatus to collect distributed user information for media impressions is disclosed. An example method includes receiving an encrypted identifier and media impression information collected from a mobile device, sending the encrypted identifier to a database proprietor associated with collection of mobile device presence information at a merchant location, receiving user information associated with the encrypted identifier from the first database proprietor, and associating at least one of the merchant location or the user information with the media impression information.
Abstract:
A disclosed example involves accessing an initial average unique web browser reach corresponding to a first duration, an initial average internet media impressions-per-user frequency corresponding to the first duration, an initial average unique web browser reach corresponding to a second duration, and an initial average internet media impressions-per-user frequency corresponding to the second duration. A probability model is used to determine an adjusted internet media audience reach corresponding to the first duration based on the initial average unique web browser reach corresponding to the first duration, the initial average internet media impressions-per-user frequency corresponding to the first duration, the initial average unique web browser reach corresponding to the second duration, and the initial average impressions-per-user frequency corresponding to the second duration. The adjusted internet media audience reach corresponding to the first duration has less audience duplication than the initial average unique web browser reach corresponding to the first duration.
Abstract:
Methods and apparatus to share online media impression data are disclosed. An example method includes sending a response to a request, the response including an identification of a first cookie used by an audience measurement entity and an indication of a database proprietor, and receiving a mapping of the first cookie to a second cookie used by the database proprietor and demographic information associated with the second cookie by the database proprietor.