Abstract: A system for representing information and decision flow requirements in a transactional business process is provided. The system comprises an information gathering object and a decision object. The information gathering object represents a piece of information used in the transactional business system and the decision object represents a satisfying condition for achieving an objective associated with the transactional business system. The system further comprises one or more information channels that link the information gathering objects to the one or more decision objects. The information channels represent the information and decision flow requirements within the transactional business system.

Abstract: Systems and methods are provided to schedule clinical tasks involving multiple sub-tasks and multiple resources in a clinical enterprise. An example method includes identifying a slot for a task defined by a task duration and one or more resources, the task including a plurality of sub-tasks, each sub-task having a sub-task duration utilizing one or more of the one or more resources, wherein each sub-task to be performed consecutively based on resource constraints; selecting a time slot for the task based on resource availability, the plurality of sub-tasks in the task, and a duration associated with each sub-task, wherein resource availability information is obtained from a clinical information system, and wherein each resource is scheduled only for one or more sub-tasks in which the resource is involved; displaying the schedule including the task and the plurality of sub-tasks; and facilitating access to view and modify the schedule.

Abstract: The cross correlation tool is used to quickly understand and describe the composition of an asset portfolio and the response of a user selected variable versus other variables in the portfolio. The tool is also used to quickly identify unexpectedly high or low correlation between two attribute variables and the response variable. Identification of unexpected correlations improves understanding of the portfolio data and the decisions regarding a potential purchase of the portfolio. Attribute variables are of two types, continuous and categorical. The cross correlations are computed between all variables of interest and their bin or level and presented in a two dimensional matrix for easy identification of trends.

Abstract: A technique is provided for providing information to a customer within a store. A mobile phone is provided that is adapted to communicate with Near Field Communication (NFC) devices and wireless Internet Protocol (IP) based network, or Internet system, as well as operate as a cellular phone. The mobile phone is configured to bridge information between the various protocols used to enable the mobile phone to communicate with an NFC device, a wireless Internet system, and a cellular phone system. For example, information obtained by the mobile phone from a NFC device may be transferred to the portion of the mobile phone that is used to connect the mobile phone to a wireless Internet system to enable the mobile phone to provide the proper authentication to access the wireless Internet system. In addition, the mobile phone may be adapted to communicate using a Bluetooth communication system.

Abstract: Method and systems for diagnosing and treating individuals having a mental health disease that provide health related information about one or more of the individuals wherein at least portion of the information comprises collected data on one or more of the individual's activities; analyzes the health related information according to assess the individual's mental health; and creates a treatment plan based at least in part on the individual's assessed state of mental health.

Abstract: The cross correlation tool is used to quickly understand and describe the composition of an asset portfolio and the response of a user selected variable versus other variables in the portfolio. The tool is also used to quickly identify unexpectedly high or low correlation between two attribute variables and the response variable. Identification of unexpected correlations improves understanding of the portfolio data and the decisions regarding a potential purchase of the portfolio. Attribute variables are of two types, continuous and categorical. The cross correlations are computed between all variables of interest and their bin or level and presented in a two dimensional matrix for easy identification of trends.

Abstract: A method and system are provided to improve industrial engineered systems such as oil well drilling decisions and transfer risk. The method and system each include an interactive decision-support planning tool that aids a user as to how to select a portfolio of engineered systems and entities that the systems will process such as aircraft engines and flights, rigs and reserves, apparatus configuration, apparatus inspection, apparatus on line sensors, dynamic operations decisioning for the apparatus and drill path or asset dispatching and a contractual incentive to allocate risks to stakeholders best positioned to abate them.

Abstract: Method and systems for diagnosing and treating individuals having a mental health disease that provide health related information about one or more of the individuals wherein at least portion of the information comprises collected data on one or more of the individual's activities; analyzes the health related information according to assess the individual's mental health; and creates a treatment plan based at least in part on the individual's assessed state of mental health.

Abstract: Systems and methods, for delivering targeted content to specific individuals, that provide health related information about an individual; correlates the individual with the targeted content based at least in part on the health related information; and delivers the targeted content to the individual through a device for delivering media content.

Abstract: An integrated system organizes a company's experiences, operating procedures, best practices, information sources, competitive information and analytical tools. The goal is increasing profitability within a due diligence process while facilitating ongoing operations. The system incorporates a method for collaborating on due diligence issues to affect knowledge building within due diligence teams. The method includes accessing stored, accumulated knowledge in a repository from prior due diligence exercises, applying to due diligence decisions criteria based on consolidated analytical building blocks of past due diligence exercises and storing newly accumulated knowledge from the current due diligence exercise into the repository of accumulated knowledge. Access to this information is available globally via the internet as well as locally.

Abstract: A method of valuation of large groups of assets by selecting a lowest variation assumption for asset valuation in order to limit risk includes the steps of evaluating assets by all known valuation methodologies which have merit for those particular assets, selecting the valuation methodology which is most accurate for the assets being evaluated and assigning values to the assets. Individual asset values are developed and listed in tables so that individual asset values can be taken from the tables and grouped in any desired manner. The asset s are divided into categories by credit variable and then rated individually.

Abstract: An integrated system organizes a company's experiences, operating procedures, best practices, information sources, competitive information and analytical tools. The goal is increasing profitability within a due diligence process while facilitating ongoing operations. The system incorporates a method for collaborating on due diligence issues to affect knowledge building within due diligence teams. The method includes accessing stored, accumulated knowledge in a repository from prior due diligence exercises, applying to due diligence decisions criteria based on consolidated analytical building blocks of past due diligence exercises and storing newly accumulated knowledge from the current due diligence exercise into the repository of accumulated knowledge.

Abstract: A method of valuation of groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive statistical evaluation of all assets. Statistical inferences drawn from the evaluation are applied to generate the inferred values. The assets are collected into a database, catagorized, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuation is established. Simulated bid scenarios are examined for combinations of bid prices and a best bid price according to risk and return is determined.

Abstract: A method of valuation of large groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate inferred values. Individual asset values are developed and listed in tables so that individual asset values can be taken and quickly grouped in any desired or prescribed manner for bidding purposes. The assets are collected into a database, divided by credit variable, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuation established by cumulating the individual valuations.

Abstract: A method of valuation of large groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive supervised and unsupervised statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate the inferred asset values. Individual asset values are developed and listed in realtional tables so that individual asset values can be rapidly taken from the tables and quickly grouped in any desired or prescribed manner for bidding purposes. The assets are collected into a database, divided into categories by credit variable, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuations established by cumulating the individual valuations.

Abstract: A method of inferring valuation of large groups of assets by credit scores includes the steps of organizing valuation scores, adjusting valuation scores based on special factors and business decisions, reconciling multiple valuation scores which describe the same assets and making an overall adjustment to override the inferred valuation. Individual asset values are developed and listed in tables so that individual asset values can be rapidly taken from the tables and quickly grouped for bidding purposes. The valuations are collected into a database, divided into categories by credit variable, subdivided by ratings as to those variables and then rated individually.

Abstract: A method of valuation of large groups of assets by a partial full underwriting, partial sample underwriting and inferred valuation of the remainder using an iterative and adaptive statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate inferred asset values. Individual asset values are developed and listed so that individual asset values can be rapidly taken and quickly grouped in any manner for bidding purposes. The assets are collected into a database, divided into categories, subdivided by ratings and then rated individually. Asset value is continuously recalculated based on progressively improving asset valuation data. The assets are then regrouped for bidding and a collective valuation is established by cumulating individual valuations.

Abstract: A method of valuation of large groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive supervised and unsupervised statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate the inferred asset values. Individual asset values are developed and listed in relational tables so that individual asset values can be rapidly taken from the tables and quickly grouped in any desired or prescribed manner for bidding purposes. The assets are collected into a database, divided into categories by credit variable, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuations established by cumulating the individual valuations.

Abstract: A method of valuation of large groups of assets using an iterative and adaptive statistical evaluation to generate asset values is described. Individual asset values are developed and listed so that individual asset values can be rapidly taken and quickly grouped in any desired or prescribed manner for bidding purposes. One method of automated underwriting includes defining clusters of financial instruments by common attributes, receiving an expert opinion of value from selected samples of the clusters, checking values for combinations of attributes and reconciling the values. A collective valuation of the assets is established by cumulating the individual valuations.

Abstract: The invention discloses simulation of a process of discrete events or tasks having a plurality of available resources associated therewith is presented. A database stores a plurality of models, each including a plurality of one or more entity, task, and resource parameter, and dependencies and relationships. A model application communicates with the database and is configured to receive commands from a user, to retrieve one of the plurality of models and the corresponding plurality of one or more entity, task, and resource parameter in response to a user command, to receive input data corresponding to attributes of one or more entity, task, and resource parameter from a business database system, and to generate a simulation model based on the selected business database system and the input data.