Abstract: An online marketing system assists vendors to sell their products to system users by providing a database of unbiased and untainted rated reviews of diverse set of products. The queries by the users are searched by a proprietary search engine and ranked based on the reviews and the reputations of the respective reviewers for accuracy.

Abstract: A secure data interchange will allow pharmaceutical and biotechnological interests to securely share and profit from biochemical and biophysical data. The purpose of the interchange is to maintain the proprietary value of such data by guarding its exposure to other users while allowing some of its scientific value to be passed along. Specifically, users submit data in conjunction with, and conditional upon, various rules and conditions of use. The system itself, as a trusted third party, is supported by a diverse set of human and machine experts. When productive correlations and complementarities in different users' interests or data are detected, the information is passed back to the users in accordance with the desired level of transparency. Automated means are provided for data matching and selective determination of which particular data to release and to whom in view of the data's conditions of use ascribed. Efficient market exchange mechanisms are explored.

Abstract: A computer system is adapted to predict the likelihood, temporal (or developmental) state, possible location(s), rate of spread or “infectiousness”, etc. of a potential epidemic. A wide and diverse range of inputs and associated parameters are inputted into the system some of which may be statistically correlatable with certain hidden states including those which are temporally oriented disease stages of progression as well as other types of attributes. A Dynamic Bayesian Belief Network or other adaptive or machine learning method is used for the probabilistic analysis. The system statistically analyzes and reanalyzes the totality of all recently updated information (and within the context of all past information), as can efficiently be modeled by the Dynamic Bayesian Belief Network or other adaptive or machine learning method to provide updated predictions and to suggest a recommended reactive protocol to an epidemic.

Abstract: A system is provided that preserves data privacy for the Individual—I and Private Data Owner (PDO) while granting data access to the User—U and Accessor who need such data to perform their usual and customary business functions. The method and system completely control the User's access to the Private Data Owner's Private Data by replacing Identifying Information for the User—U, Individual—I, Accessor and PDO with pseudonyms. This assures the overall privacy of individuals, throughout the course of collecting, storing, accessing, analyzing and sharing detailed private records among different organizations engaged in providing and/or consuming services and/or products. Access Control Rule Sets (“ACRS”) consist of instructions which prescribe the terms and conditions for permitting Users to access the PDO's Pseudonymized and Actual Private data in accordance with the rules governing their authorization to access such data.

Abstract: A system is provided that preserves data privacy for the Individual—I and Private Data Owner (PDO) while granting data access to the User—U and Accessor who need such data to perform their usual and customary business functions. The method and system completely control the User's access to the Private Data Owner's Private Data by replacing Identifying Information for the User—U, Individual—I, Accessor and PDO with pseudonyms. This assures the overall privacy of individuals, throughout the course of collecting, storing, accessing, analyzing and sharing detailed private records among different organizations engaged in providing and/or consuming services and/or products. Access Control Rule Sets (“ACRS”) consist of instructions which prescribe the terms and conditions for permitting Users to access the PDO's Pseudonymized and Actual Private data in accordance with the rules governing their authorization to access such data.

Abstract: A system is provided that preserves data privacy for the Individual-I and Private Data Owner (PDO) while granting data access to the User-U and Accessor who need such data to perform their usual and customary business functions. The method and system completely control the User's access to the Private Data Owner's Private Data by replacing Identifying Information for the User-U, Individual-I, Accessor and PDO with pseudonyms. This assures the overall privacy of individuals, throughout the course of collecting, storing, accessing, analyzing and sharing detailed private records among different organizations engaged in providing and/or consuming services and/or products. Access Control Rule Sets (“ACRS”) consist of instructions which prescribe the terms and conditions for permitting Users to access the PDO's Pseudonymized and Actual Private data in accordance with the rules governing their authorization to access such data.

Abstract: Autoband's distributed networking intelligence provides a novel architecture capable of dynamically reconfiguring communications pathways consisting of links whose transmission media are opportunistically and dynamically selectable. At least one constituent node in such automatically configurable transient pathways is mobile, for example, information (source) server, intervening router node(s), gateway server and/or client device. Additionally, Autoband's ad hoc communications pathways may seamlessly and dynamically integrate (i.e., “graft”) into standard fixed node networks such as terrestrial networks, other wireless networks or combinations thereof. These communications may consist of point-to-point or multicast links. An economic market-based approach further assures allocation of available network resources (i.e., bandwidth and processing) needed to achieve the most optimally resource efficient communications pathway configurations for the totality of communications.

Abstract: A secure data interchange will allow pharmaceutical and biotechnological interests to securely share and profit from biochemical and biophysical data. The purpose of the interchange is to maintain the proprietary value of such data by guarding its exposure to other users while allowing some of its scientific value to be passed along. Specifically, users submit data in conjunction with, and conditional upon, various rules and conditions of use. The system itself, as a trusted third party, is supported by a diverse set of human and machine experts. When productive correlations and complementarities in different users' interests or data are detected, the information is passed back to the users in accordance with the desired level of transparency. Automated means are provided for data matching and selective determination of which particular data to release and to whom in view of the data's conditions of use ascribed. Efficient market exchange mechanisms are explored.

Abstract: Autoband's distributed networking intelligence provides a novel architecture capable of dynamically reconfiguring communications pathways consisting of links whose transmission media are opportunistically and dynamically selectable. At least one constituent node in such automatically configurable transient pathways is mobile, for example, information (source) server, intervening router node(s), gateway server and/or client device. Additionally, Autoband's ad hoc communications pathways may seamlessly and dynamically integrate (i.e., “graft”) into standard fixed node networks such as terrestrial networks, other wireless networks or combinations thereof. These communications may consist of point-to-point or multicast links. An economic market-based approach further assures allocation of available network resources (i.e., bandwidth and processing) needed to achieve the most optimally resource efficient communications pathway configurations for the totality of communications.

Abstract: A system is provided that preserves data privacy for the Individual—I and Private Data Owner (PDO) while granting data access to the User-U and Accessor who need such data to perform their usual and customary business functions. The method and system completely control the User's access to the Private Data Owner's Private Data by replacing Identifying Information for the User—U, Individual—I, Accessor and PDO with pseudonyms. This assures the overall privacy of individuals, throughout the course of collecting, storing, accessing, analyzing and sharing detailed private records among different organizations engaged in providing and/or consuming services and/or products. Access Control Rule Sets (“ACRS”) consist of instructions which prescribe the terms and conditions for permitting Users to access the PDO's Pseudonymized and Actual Private data in accordance with the rules governing their authorization to access such data.

Abstract: Autoband's distributed networking intelligence provides a novel architecture capable of dynamically reconfiguring communications pathways consisting of links whose transmission media are opportunistically and dynamically selectable. At least one constituent node in such automatically configurable transient pathways is mobile, for example, information (source) server, intervening router node(s), gateway server and/or client device. Additionally, Autoband's ad hoc communications pathways may seamlessly and dynamically integrate (i.e., “graft”) into standard fixed node networks such as terrestrial networks, other wireless networks or combinations thereof. These communications may consist of point-to-point or multicast links. An economic market-based approach further assures allocation of available network resources (i.e., bandwidth and processing) needed to achieve the most optimally resource efficient communications pathway configurations for the totality of communications.