Abstract: A method of operating a server including receiving a request from an electronic device for access by a user to a puzzle, and retrieving a profile for the user and conditions for access to the puzzle. If the user is authorized access then the puzzle is sent to the electronic device for display to the user. A user input regarding a puzzle piece is received and verified. If the input is valid with respect to that puzzle piece then the appearance of the display or that puzzle piece is changed. If inputs for a predetermined number of puzzle pieces or a predetermined set of puzzle pieces have been verified, then the display on the electronic device indicates that a goal has been reached.

Abstract: In an embodiment, a two-dimensional, grey-scale image is the data type to be analyzed, and a plurality of pixels which compose an image, are referred to as a data element. The image is analyzed and each pixel is assigned a value, for example from 0-255; in one embodiment, the values are stored in a system cache or a data store. A new image file is created and configured to be the same size as the original image and capable of storing a numerical representation of each pixel. An algorithmic analysis is performed on the data stored from the grey-scale image, resulting in a new value being stored in the new image file. The resulting image is created from these values and represents a new transformed image.

Abstract: Systems and methods for configuring a search string. The systems and methods include searching a plurality of data products stored at one or more locations over a computer-based network. At least one data product is identified containing a topic of interest. A list of significant terms is ranked in the identified data product. The ranking is based on a weight value for each of the significant terms found in the data store. A search string is created including at least one significant term. At least one search application is searched using the search string. If at least one data store was found during the search, the found data products are displayed.

Abstract: Systems and methods for automated pattern recognition and detection of avian influenza virus in a data set corresponding to an aspect of a biological sample. The method includes receiving a first data set corresponding to a first aspect of a first biological sample, analyzing the first data set using results of a first series of algorithms processed on a second data set corresponding to an aspect of a second biological sample known to contain avian influenza virus, generating an algorithm value cache for the first data set by running a second series of algorithms on the first data set, generating a match result by comparing the algorithm value cache with the results of the first series of algorithms, and performing a processing action based on the generated match result.

Abstract: Systems and methods for aggregating and using data corresponding to physical samples in a virtual environment. The method includes receiving a first physical sample, sensing a first aspect of the first sample to generate first sample first aspect data, storing the first sample first aspect data in a datastore, sensing a second aspect of the first sample to generate first sample second aspect data, storing the first sample second aspect data in the datastore, generating first sample transformed data by running a first series of algorithms using at least one of the first sample first aspect data and the first sample second aspect data, and storing the first sample transformed data in the datastore.

Abstract: Systems and methods for creating data samples for data analysis. The method includes imaging at least a portion of a first object having a target portion to generate a first image, analyzing the first image by running a first series of algorithms using the first image to generate a first algorithm value cache, removing the target portion from the first object to form a modified first object, imaging at least a portion of the modified first object to generate a second image, analyzing the second image by running the first series of algorithms using the second image to generate a second algorithm value cache, generating a transformed result by running a subtraction process using the first algorithm value cache and the second algorithm value cache, and storing the transformed result in a knowledge base.

Abstract: A method for determining the significance of a term in a plurality of data products. The data products are stored on a single computer, at one or more locations over a computer-based network, or on the world wide web. The method determines the type of the data product. The data product is assigned a weight value based on a list of predetermined variables. A processor calculates a weight value for each term inside the data product. The weight value equals the weight value assigned to the data product added to the weight value of the term calculated based on a list of predetermined variables. The list of terms and calculated weight values are stored for each term.

Abstract: Systems and methods for searching data. A search for related terms is initiated of at least one data product using at least one term. A ranked list of all the terms in the matching data products is returned and the ranked list is displayed to a user. The user modifies the weight values of a search term or adds a new term to the query. The search is reinitiated using the modified weight values. Alternatively, a search for data products is initiated of at least one data product using at least one term. A ranked list of all data products and significant terms in those products is returned and the ranked list is displayed to a user. The user modifies the weight values of a search term or adds a new term to the query. The search is reinitiated using the modified weight values.