Abstract: In some embodiments, the present disclosure provides a network of multi-functional sensors; where, based on a quality insurance, each multi-functional sensor is positioned in, on, or in a vicinity of: a transported cargo and/or a cargo container, containing the transported cargo; where each multi-functional sensor is configured to measure particular transport-related condition, particular cargo-related condition, or both, to form cargo transport sensor data and wirelessly transmit it to a server that is configured to dynamically predict, based on the cargo transport sensor data, a predicted quality loss of the transported cargo, determine a current loss value of the transported cargo and cause one or more remedial actions that include instantaneously instructing to pay a payout amount to an owner of the transported cargo to compensate for the current loss value and/or transmitting a remedial instruction with an adjustment to the operation of one or more of a cargo transport, the cargo container, and a cargo s

Abstract: In some embodiments, the present invention provides for an exemplary inventive system that may include executable program code and a computer processor which, when executing the particular program code, is configured to perform operations of: receiving, for a population of energy consuming physical assets, asset-specific historical data and asset-specific current energy consumption data from utility meter(s), sensor(s), or both; determining, for each respective physical asset category, each respective frequency of breakdowns and each respective average severity of each breakdown; determining, an adjusted breakdown loss value per each physical asset for each respective physical asset category; determining a respective average current energy consumption value per each physical asset for each respective physical asset category; associating each respective energy consuming location to a particular physical asset category; generating, based on usage-based breakdown insurance premium value of the respective energy

Abstract: A system and method is described herein for data filtering to reduce functional, and trend line outlier bias. Outliers are removed from the data set through an objective statistical method. Bias is determined based on absolute, relative error, or both. Error values are computed from the data, model coefficients, or trend line calculations. Outlier data records are removed when the error values are greater than or equal to the user-supplied criteria. For optimization methods or other iterative calculations, the removed data are re-applied each iteration to the model computing new results. Using model values for the complete dataset, new error values are computed and the outlier bias reduction procedure is re-applied. Overall error is minimized for model coefficients and outlier removed data in an iterative fashion until user defined error improvement limits are reached. The filtered data may be used for validation, outlier bias reduction and data quality operations.

Abstract: The application relates to methods of treating chronic viral infection by modulating Tim-3 activity. In addition, the present application relates to methods of diagnosing or monitoring immune system activity or function, chronic viral infection and inflammatory disease using Tim-3 expression.

Abstract: A method, apparatus and system is provided for assessing risk for well completion, comprising: obtaining, using an input interface, a Below Rotary Table hours and a plurality of well-field parameters for one or more planned runs, determining, using at least one processor, one or more non-productive time values that correspond to the one or more planned runs based upon the well-field parameters, developing, using at least one processor, a non-productive time distribution and a Below Rotary Table distribution via one or more Monte Carlo trials; and outputting, using a graphic display, a risk transfer model results based on a total BRT hours from the Below Rotary Table and the non-productive time distribution produced from the one or more Monte Carlo trials.

Abstract: The application relates to methods of treating a chronic viral infection, such as HIV (Human Immunodeficiency Virus), by modulating Tim-3 activity, whereby blocking the action of Tim-3 on a T cell enhances the immunity to the virus.

Abstract: Disclosed is a system and method for the analysis of event data that enables analysts to create user specified datasets in a dynamic fashion. Performance, equipment and system safety, reliability, and significant event analysis utilizes failure or performance data that are composed in part of time-based records. These data identify the temporal occurrence of performance changes that may necessitate scheduled or unscheduled intervention like maintenance events, trades, purchases, or other actions to take advantage of mitigate or compensate for the observed changes. The criteria used to prompt a failure or performance record can range from complete loss of function to subtle changes in performance parameters that are known to be precursors of more severe events. These specific criteria applied to any explicit specific application and this invention is relevant to this type of data taxonomy and can be applied across all areas in which event data may be collected.

Abstract: A system and method is described herein for data filtering to reduce functional, and trend line outlier bias. Outliers are removed from the data set through an objective statistical method. Bias is determined based on absolute, relative error, or both. Error values are computed from the data, model coefficients, or trend line calculations. Outlier data records are removed when the error values are greater than or equal to the user-supplied criteria. For optimization methods or other iterative calculations, the removed data are re-applied each iteration to the model computing new results. Using model values for the complete dataset, new error values are computed and the outlier bias reduction procedure is re-applied. Overall error is minimized for model coefficients and outlier removed data in an iterative fashion until user defined error improvement limits are reached. The filtered data may be used for validation, outlier bias reduction and data quality operations.

Abstract: A system and method is described herein for data filtering to reduce functional, and trend line outlier bias. Outliers are removed from the data set through an objective statistical method. Bias is determined based on absolute, relative error, or both. Error values are computed from the data, model coefficients, or trend line calculations. Outlier data records are removed when the error values are greater than or equal to the user-supplied criteria. For optimization methods or other iterative calculations, the removed data are re-applied each iteration to the model computing new results. Using model values for the complete dataset, new error values are computed and the outlier bias reduction procedure is re-applied. Overall error is minimized for model coefficients and outlier removed data in an iterative fashion until user defined error improvement limits are reached. The filtered data may be used for validation, outlier bias reduction and data quality operations.

Abstract: Systems, methods, and apparatuses for improving future reliability prediction of a measurable system by receiving operational and performance data, such as maintenance expense data, first principle data, and asset reliability data via an input interface associated with the measurable system. A plurality of category values may be generated that categorizes the maintenance expense data by a designated interval using a maintenance standard that is generated from one or more comparative analysis models associated with the measureable system. The estimated future reliability of the measurable system is determined based on the asset reliability data and the plurality of category values and the results of the future reliability are displayed on an output interface.

Abstract: A system and method is described herein for data filtering to reduce functional, and trend line outlier bias. Outliers are removed from the data set through an objective statistical method. Bias is determined based on absolute, relative error, or both. Error values are computed from the data, model coefficients, or trend line calculations. Outlier data records are removed when the error values are greater than or equal to the user-supplied criteria. For optimization methods or other iterative calculations, the removed data are re-applied each iteration to the model computing new results. Using model values for the complete dataset, new error values are computed and the outlier bias reduction procedure is re-applied. Overall error is minimized for model coefficients and outlier removed data in an iterative fashion until user defined error improvement limits are reached. The filtered data may be used for validation, outlier bias reduction and data quality operations.

Abstract: In the present invention, an insurance product, rating system and method generally relates to a rating and pricing system for quantifying the risk that the annual savings will not fall below specified levels associated with implementing and maintaining economic improvements. Disclosed embodiments involve a credit enhancement system and method relating to the manner in which insuring a project savings floor (i.e., a minimum level of return on investment for a given improvement project) can be realized in a better credit rating for bonds or loans associated with the improvement project. The product, system and method can be applied to various industries, including, power generation, petro-chemical, manufacturing and refining facilities. Various embodiments disclosed herein relate to a system and method for establishing a rating system to determine the impact on an insured's credit risk.

Abstract: A system and method is provided for determining the variability induced on a process output. The method includes the analysis of input variable values to determine the total variability. A series of processes may be analyzed and ranked so that a process owner may gain an understanding of how a target process performs relative to the processes of other process owners. The method includes the generation of graphical process comparisons and advice regarding asset performance. The method also includes the estimation of cost impacts due to changes in induced variability.

Abstract: In the present invention, an insurance product, rating system and method generally relates to a rating and pricing system for quantifying the risk that the annual savings will not fall below specified levels associated with implementing and maintaining economic improvements. The product, system and method can be applied to various industries, including, power generation, petro-chemical, manufacturing and refining facilities. Various embodiments disclosed herein relate to a system and method for insuring a minimum return on investment for an insured.

Abstract: In the present invention, an insurance product, rating system and method generally relates to a rating and pricing system for quantifying the risk that the annual savings will not fall below specified levels associated with implementing and maintaining economic improvements. The product, system and method can be applied to various industries, including, power generation, petro-chemical, manufacturing and refining facilities. Various embodiments disclosed herein relate to systems and products for providing a computer implemented insurance product.

Abstract: In the present invention, an insurance product, rating system and method generally relates to a rating and pricing system for quantifying the risk that the annual savings will not fall below specified levels associated with implementing and maintaining economic improvements. The product, system and method can be applied to various industries, including, power generation, petro-chemical, manufacturing and refining facilities. Various embodiments disclosed herein relate to a system and method for establishing a rating system to determine the impact on an insured's credit risk.

Abstract: In the present invention, an insurance product, rating system and method generally relates to a rating and pricing system for quantifying the risk that the annual savings will not fall below specified levels associated with implementing and maintaining economic improvements. Disclosed embodiments involve a credit enhancement system and method relating to the manner in which insuring a project savings floor (i.e., a minimum level of return on investment for a given improvement project) can be realized in a better credit rating for bonds or loans associated with the improvement project. The product, system and method can be applied to various industries, including, power generation, petro-chemical, manufacturing and refining facilities. Various embodiments disclosed herein relate to a system and method for establishing a rating system to determine the impact on an insured's credit risk.

Abstract: In the present invention, an insurance product, rating system and method generally relates to a rating and pricing system for quantifying the risk that the annual savings will not fall below specified levels associated with implementing and maintaining economic improvements. The product, system and method can be applied to various industries, including, power generation, petro-chemical, manufacturing and refining facilities. Various embodiments disclosed herein relate to a method for pricing an insurance policy for insuring a minimum level of return on investment.

Abstract: In the present invention, an insurance product, rating system and method generally relates to a rating and pricing system for quantifying the risk that the annual savings will not fall below specified levels associated with implementing and maintaining economic improvements. The product, system and method can be applied to various industries, including, power generation, petro-chemical, manufacturing and refining facilities. Various embodiments disclosed herein relate to systems and methods for determining optimal risk acceptance values associated with implementing an economic improvement plan for a facility.

Abstract: A system and method is provided for determining the variability induced on a process output. The method includes the analysis of input variable values to determine the total variability. A series of processes may be analyzed and ranked so that a process owner may gain an understanding of how a target process performs relative to the processes of other process owners. The method includes the generation of graphical process comparisons and advice regarding asset performance. The method also includes the estimation of cost impacts due to changes in induced variability.