Abstract: A method can include generating equipment specifications for a facility project at a field site by simulating physical phenomena using one or more computational simulators; using the equipment specifications and a computational facility planner system, generating a work breakdown structure for the facility project, where the work breakdown structure represents activities to be performed to deliver a defined scope of the facility project within a defined time; rendering a graphical user interface to a display that includes graphical controls for dependencies of the activities and equipment characterized by the equipment specifications; responsive to input received via one or more of the graphical controls, automatically updating at least durations of the activities; and, based at least in part on the updating, generating an optimal scenario for the facility project.

Abstract: The present invention pertains to a method of manufacturing segregated layers above a substrate. The invention also pertains to methods of manufacturing a photoresist layer, photoresist patterns, a processed substrate and a device.

Abstract: An exhaust gas aftertreatment device for a combustion engine includes an exhaust gas guide element that includes a dosage device for introducing a reduction agent into the guide element at a feed point and at least one interference element arranged upstream of the feed point, that introduces turbulences into the exhaust gas flow that is intermixed with the reduction agent. The guide element also includes a first guide portion, through which exhaust gas flows in a first flow direction, and a second guide portion, through which exhaust gas flows in a second flow direction that is opposite to the first flow direction. The first and second guide portions are fluidically connected with each other via a third guide portion, which redirects the exhaust gas from the first flow direction into the second flow direction. The feed point and the interference element are arranged in the third guide portion.

Abstract: An exhaust gas aftertreatment device for a combustion engine includes an exhaust gas guide element that includes a dosage device for introducing a reduction agent into the guide element at a feed point and at least one interference element arranged upstream of the feed point, that introduces turbulences into the exhaust gas flow that is intermixed with the reduction agent. The guide element also includes a first guide portion, through which exhaust gas flows in a first flow direction, and a second guide portion, through which exhaust gas flows in a second flow direction that is opposite to the first flow direction. The first and second guide portions are fluidically connected with each other via a third guide portion, which redirects the exhaust gas from the first flow direction into the second flow direction. The feed point and the interference element are arranged in the third guide portion.

Abstract: A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes account level historical data collection for customers associated with accounts as part of a portfolio. The account level historical data is segmented into groups of customers with similar revenues and loss characteristics. Segmented data is decomposed into seasoning, vintage, and cycle effects. Statistical clusters are formed based upon the data and effects. A simulation is applied to the statistical clusters and prediction data is generated. A simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios.

Abstract: A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes account level historical data collection for customers associated with accounts as part of a portfolio. The account level historical data is segmented into groups of customers with similar revenues and loss characteristics. Segmented data is decomposed into seasoning, vintage, and cycle effects. Statistical clusters are formed based upon the data and effects. A simulation is applied to the statistical clusters and prediction data is generated. A simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios.

Abstract: A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes customer segmentation to create pools of homogeneous assets in terms of revenue and loss characteristics, forward looking simulation to forecast expected values and volatilities of revenue and loss, and risk and reward optimization of the portfolio. One methodology used for modeling revenue and loss is a generalized additive effect decomposition model to fit historical data. Based on the model, a segmentation procedure is performed, which allows for creation of groups of customers with similar revenue and loss characteristics. An estimation procedure for the model is developed and a simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios.

Abstract: A data driven and forward looking risk and reward appetite methodology for consumer and small business is described. The methodology includes customer segmentation to create pools of homogeneous assets in terms of revenue and loss characteristics, forward looking simulation to forecast expected values and volatilities of revenue and loss, and risk and reward optimization of the portfolio. One methodology used for modeling revenue and loss is a generalized additive effect decomposition model to fit historical data. Based on the model, a segmentation procedure is performed, which allows for creation of groups of customers with similar revenue and loss characteristics. An estimation procedure for the model is developed and a simulation strategy to forecast and simulate revenue and loss volatility is developed. Efficient frontier curves of risk (e.g., return volatility) and reward (e.g., expected return) are created for the current portfolio under various economic scenarios.

Abstract: An inner race or and outer race, including: a first annular portion with a first radial surface at a first end of the race; and a second annular portion formed from a same piece of material as the first portion, at least partially in contact with the first portion, the second portion having a second radial surface at the first end of the race, the second radial surface separate from the first radial surface at the first end of the race. In one embodiment, the first and second radial surfaces are substantially orthogonal to a longitudinal axis for the race. The inner race includes a third annular portion disposed at a second end of the race, opposite the first end, and formed from the same piece of material. The first and second annular portions extend from the third annular portion to the first end of the race.