Abstract: An electronic method for generating group data indicative of the collective response of at least a subset of respondents to at least one portion of a time-varying stimulus the method comprising: receiving responses to the time-varying stimulus from respective ones of a plurality of respondent devices, each response including data indicative of a response of a respondent associated with the respective respondent device to the time-varying stimulus; filtering the responses to generate a filtered response data set that excludes responses outside of a timing tolerance relative to a portion of the time-varying stimulus to which the group data is intended to relate; and processing at least a subset of the filtered response data set to generate the group data.

Abstract: An electronic method for generating group data indicative of the collective response of at least a subset of respondents to at least one portion of a time-varying stimulus the method comprising: receiving responses to the time-varying stimulus from respective ones of a plurality of respondent devices, each response including data indicative of a response of a respondent associated with the respective respondent device to the time-varying stimulus; filtering the responses to generate a filtered response data set that excludes responses outside of a timing tolerance relative to a portion of the time-varying stimulus to which the group data is intended to relate; and processing at least a subset of the filtered response data set to generate the group data.

Abstract: An electronic method for generating group data indicative of the collective response of at least a subset of respondents to at least one portion of a time-varying stimulus the method comprising: receiving responses to the time-varying stimulus from respective ones of a plurality of respondent devices, each response including data indicative of a response of a respondent associated with the respective respondent device to the time-varying stimulus; filtering the responses to generate a filtered response data set that excludes responses outside of a timing tolerance relative to a portion of the time-varying stimulus to which the group data is intended to relate; and processing at least a subset of the filtered response data set to generate the group data.

Abstract: An electronic method for generating group data indicative of the collective response of at least a subset of respondents to at least one portion of a time-varying stimulus the method comprising: receiving responses to the time-varying stimulus from respective ones of a plurality of respondent devices, each response including data indicative of a response of a respondent associated with the respective respondent device to the time-varying stimulus; filtering the responses to generate a filtered response data set that excludes responses outside of a timing tolerance relative to a portion of the time-varying stimulus to which the group data is intended to relate; and processing at least a subset of the filtered response data set to generate the group data.

Abstract: An electronic method for generating group data indicative of the collective response of at least a subset of respondents to at least one portion of a time-varying stimulus the method comprising: receiving responses to the time-varying stimulus from respective ones of a plurality of respondent devices, each response including data indicative of a response of a respondent associated with the respective respondent device to the time-varying stimulus; filtering the responses to generate a filtered response data set that excludes responses outside of a timing tolerance relative to a portion of the time-varying stimulus to which the group data is intended to relate; and processing at least a subset of the filtered response data set to generate the group data.

Abstract: An electronic method for generating group data indicative of the collective response of at least a subset of respondents to at least one portion of a time-varying stimulus the method comprising: receiving responses to the time-varying stimulus from respective ones of a plurality of respondent devices, each response including data indicative of a response of a respondent associated with the respective respondent device to the time-varying stimulus; filtering the responses to generate a filtered response data set that excludes responses outside of a timing tolerance relative to a portion of the time-varying stimulus to which the group data is intended to relate; and processing at least a subset of the filtered response data set to generate the group data.

Abstract: A food slicing device includes a container for containing a food product for slicing. The container has an open bottom end and is arranged so that a food product can be fed by gravity in a direction towards the bottom end. A movable slicer is provided as well as driving means to move the slicer. Supporting means support the food product contained within the container. The supporting means includes at least two supports, a first of the supports having a fixed position relative to the container and a second of the supports being movable with the slicer. The second support being arranged to slide across a downward facing surface of the food product as the slicer slices through the food product. The supporting means is arranged so that as the slicer slices through the food product, the food product slice can fall away from the food product under gravity.

Abstract: The present invention provides methods, composition, software and apparatus for in vivo analysis of gene expression and biological function in plants and animals. The invention also provides materials and methods for rapid analysis of data, allowing the methods and compositions of the invention to be used in a high throughput manner. The materials include an optical coherence microscope, the use and identification of detectable OCM substances, and machine readable code that converts OCM signal to binary data and then to a visual image, by which the expression of genes in vivo can be visualized. The present method results in the creation of genomic-scale, computer screenable databases of gene expression that include spatial, temporal, and quantitative data about gene expression in vivo.