Abstract: Disclosed herein are cytomegalovirus vectors encoding fusion proteins comprising Mycobacterium tuberculosis (Mtb) antigens, nucleic acid molecules encoding the same, cytomegalovirus vectors comprising nucleic acid molecules, compositions comprising the same, and methods of eliciting an immune response against tuberculosis.

Abstract: The present invention provides CD8+ T cells comprising multi-specific T cell receptors and methods for making the same.

Abstract: Method and systems for tracking a solicitation of contributory payments from multiple parties in connection with a commercial transaction, such as a restaurant bill, by using an application that is trained by using a machine learning technique are provided. The method includes: receiving a notification that a transaction has been executed by a user; obtaining information that relates to the transaction; generating, based on the received information, a recommendation for soliciting contributions from potential participants with respect to the transaction; receiving information that relates to the potential participants; and receiving a confirmation of the recommendation. The generation of the recommendation may be implemented by applying a machine learning algorithm that is trained by using historical transaction data and/or data that relates to a merchant and/or a type of merchandise involved in the transaction.

Abstract: An advanced data platform may receive an asset pricing request containing information about an asset. An optimization engine may determine a predicted price for the asset at different locations and times and compute a price matrix accordingly. The engine may identify an optimized predicted price from the price matrix, taking into account the spatial and temporal factors and various optimization conditions. A view for presentation of the optimized predicted price for the asset on a client device is generated and communicated to the client device over a network. When the asset is a vehicle, the engine may compute a linear regression model that defines a set of input variables with associated regression coefficients, the set of input variables comprising input variables representing attributes describing the vehicle.

Abstract: CMV vectors that lack active UL128, UL130, UL146 and UL147 proteins that may also comprise one or more microRNA regulatory elements (MRE) that restrict expression of the CMV are provided. Immunization with CMV vectors having the described features allows selection of different CD8+ T cell responses—CD8+ T cells restricted by MHC-Ia, MHC-II, or by MHC-E.

Abstract: A residual value forecasting system may utilize heterogeneous data, such as used market data, industry-specific data, and non-industry-specific data, from disparate data sources to produce residual value forecasts of an item based on a sophisticated residual value forecasting model particularly configured for agility. The system can dynamically and quickly adapt to change in data inputs and produce custom outputs. The system may determine a baseline value for an item using the used market data, a microeconomic factor using the industry-specific data, and a macroeconomic factor using the non-industry-specific data, as well as adjustments such as locality adjustments and modifications. Given the macroeconomic factor and the microeconomic factor relative to the locality-adjusted value of the item and in view of the competitive sets of similar and/or substitute items in the same industry, the system can generate an accurate forecast residual value of the item at a future time point.

Abstract: The present disclosure provides cytomegalovirus vectors encoding fusion proteins comprising Mycobacterium tuberculosis (Mtb) antigens, nucleic acid molecules encoding the same, cytomegalovirus vectors comprising nucleic acid molecules, compositions comprising the same, and methods of eliciting an immune response against tuberculosis.

Abstract: An off-highway recreational vehicle having a longitudinal centerline includes a frame and a rear suspension. The rear suspension includes a left A-arm, wherein the left A-arm has a pivot axis, the pivot axis being on a right-hand side of the longitudinal centerline.

Abstract: Methods of inducing a CD8+ T cell response to a heterologons antigen in which at least 10% of the CD8+ T cells are MHC-E restricted are disclosed. The method involves immunizing with a CMV vector that does not express UL128 and UL130 proteins. Also disclosed are recombinant CMV vectors comprising nucleic acids encoding a heterologous protein antigen, a UL40 protein, and a US28 protein but that do not express an active UL128 and UL130 protein. Also, disclosed are recombinant CMV vectors comprising nucleic acids encoding a heterologous protein antigen, but that do not express an active UL40 protein, UL128 protein, UL130 protein, and optionally a US28 protein. Also disclosed are recombinant CMV vectors comprising nucleic acids encoding a heterologous protein antigen, but that do not express an active US28 protein, UL128 protein, UL130 protein, and optionally a UL40 protein.

Abstract: The present disclosure provides cytomegalovirus vectors encoding fusion proteins comprising Mycobacterium tuberculosis (Mtb) antigens, nucleic acid molecules encoding the same, cytomegalovirus vectors comprising nucleic acid molecules, compositions comprising the same, and methods of eliciting an immune response against tuberculosis.

Abstract: An off-highway recreational vehicle having a longitudinal centerline includes a frame and a rear suspension. The rear suspension includes a left A-arm, wherein the left A-arm has a pivot axis, the pivot axis being on a right-hand side of the longitudinal centerline.

Abstract: An advanced data platform may receive an asset pricing request containing information about an asset. An optimization engine may determine a predicted price for the asset at different locations and times and compute a price matrix accordingly. The engine may identify an optimized predicted price from the price matrix, taking into account the spatial and temporal factors and various optimization conditions. A view for presentation of the optimized predicted price for the asset on a client device is generated and communicated to the client device over a network. When the asset is a vehicle, the engine may compute a linear regression model that defines a set of input variables with associated regression coefficients, the set of input variables comprising input variables representing attributes describing the vehicle.

Abstract: An advanced data platform may receive an asset pricing request containing information about an asset. An optimization engine may determine a predicted price for the asset at different locations and times and compute a price matrix accordingly. The engine may identify an optimized predicted price from the price matrix, taking into account the spatial and temporal factors and various optimization conditions. A view for presentation of the optimized predicted price for the asset on a client device is generated and communicated to the client device over a network. When the asset is a vehicle, the engine may compute a linear regression model that defines a set of input variables with associated regression coefficients, the set of input variables comprising input variables representing attributes describing the vehicle.

Abstract: Methods of inducing a CD8+ T cell response to a heterologons antigen in which at least 10% of the CD8+ T cells are MHC-E restricted are disclosed. The method involves immunizing with a CMV vector that does not express UL128 and UL130 proteins. Also disclosed are recombinant CMV vectors comprising nucleic acids encoding a heterologous protein antigen, a UL40 protein, and a US28 protein but that do not express an active UL128 and UL130 protein. Also, disclosed are recombinant CMV vectors comprising nucleic acids encoding a heterologous protein antigen, but that do not express an active UL40 protein, UL128 protein, UL130 protein, and optionally a US28 protein. Also disclosed are recombinant CMV vectors comprising nucleic acids encoding a heterologous protein antigen, but that do not express an active US28 protein, UL128 protein, UL130 protein, and optionally a UL40 protein.

Abstract: Disclosed herein are recombinant CMV vectors comprising heterologous antigens and microRNA recognition elements to silence expression of CMV genes in the presence of microRNA derived from myeloid cells, an active UL128 protein and an active UL130 protein. Also disclosed are recombinant CMV vectors comprising heterologous antigens and microRNA recognition elements to silence expression of CMV genes in the presence of microRNA derived from myeloid cells, an inactive UL128 protein and an inactive UL130 protein. Also disclosed are methods of generating an unconventional immune response using these vectors. Such an immune response is characterized by generation of a CD8+ T cell response that is predominantly restricted by MHC-II.

Abstract: A residual value forecasting system may utilize heterogeneous data, such as used market data, industry-specific data, and non-industry-specific data, from disparate data sources to produce residual value forecasts of an item based on a sophisticated residual value forecasting model particularly configured for agility. The system can dynamically and quickly adapt to change in data inputs and produce custom outputs. The system may determine a baseline value for an item using the used market data, a microeconomic factor using the industry-specific data, and a macroeconomic factor using the non-industry-specific data, as well as adjustments such as locality adjustments and modifications. Given the macroeconomic factor and the microeconomic factor relative to the locality-adjusted value of the item and in view of the competitive sets of similar and/or substitute items in the same industry, the system can generate an accurate forecast residual value of the item at a future time point.

Abstract: Disclosed are CMV vectors that lack active UL128, UL130, UL146 and UL147 proteins that may also comprise one or more microRNA regulatory elements (MRE) that restrict expression of the CMV. Immunization with the disclosed CMV vectors allow selection of different CD8+ T cell responses—CD8+ T cells restricted by MHC-Ia, MHC-II, or by MHC-E.

Abstract: A residual value forecasting system may utilize heterogeneous data, such as used market data, industry-specific data, and non-industry-specific data, from disparate data sources to produce residual value forecasts of an item based on a sophisticated residual value forecasting model particularly configured for agility. The system can dynamically and quickly adapt to change in data inputs and produce custom outputs. The system may determine a baseline value for an item using the used market data, a microeconomic factor using the industry-specific data, and a macroeconomic factor using the non-industry-specific data, as well as adjustments such as locality adjustments and modifications. Given the macroeconomic factor and the microeconomic factor relative to the locality-adjusted value of the item and in view of the competitive sets of similar and/or substitute items in the same industry, the system can generate an accurate forecast residual value of the item at a future time point.

Abstract: Disclosed herein are recombinant CMV vectors comprising heterologous antigens and microRNA recognition elements to silence expression of CMV genes in the presence of microRNA derived from myeloid cells, an active UL128 protein and an active UL130 protein. Also disclosed are recombinant CMV vectors comprising heterologous antigens and microRNA recognition elements to silence expression of CMV genes in the presence of microRNA derived from myeloid cells, an inactive UL128 protein and an inactive UL130 protein. Also disclosed are methods of generating an unconventional immune response using these vectors. Such an immune response is characterized by generation of a CD8+ T cell response that is predominantly restricted by MHC-II.

Abstract: Systems, methods and computer program products for forecasting future values of an item, where an initial value for the item is determined, and then a baseline forecast for a future reference period is computed based on factors that include microeconomic data which is specific to an industry of the item and macroeconomic data which is non-specific to the industry of the item. The forecast may also be adjusted based on data for a set of competitive items. The forecast for the item is stored and is then made available to clients that can access the forecast to determine the expected future value of the item at some point in the future.