Abstract: Provided herein, inter alia, is the synthesis of ETP derivatives. The uses of the ETP derivatives described herein include treatment of cancer.

Abstract: Provided herein, inter alia, is the synthesis of ETP derivatives. The uses of the ETP derivatives described herein include treatment of cancer.

Abstract: Provided herein, inter alia, is the synthesis of ETP derivatives. The uses of the ETP derivatives described herein include treatment of cancer.

Abstract: Provided herein, inter alia, is the synthesis of ETP derivatives. The uses of the ETP derivatives described herein include treatment of cancer.

Abstract: Provided herein, inter alia, is the synthesis of ETP derivatives. The uses of the ETP derivatives described herein include treatment of cancer.

Abstract: Provided herein, inter alia, is the synthesis of ETP derivatives. The uses of the ETP derivatives described herein include treatment of cancer.

Abstract: Systems and methods are provided for computing migration and performance matrices. The matrices may provide risk and performance data, as well as different views on the data useful for making and monitoring investment decisions. The migration and performance matrices may bring together data to reflect information on the likelihood that a rated entity will change its current rating within a given time period, information reflecting retention rates, and information describing the effect of changed exchanged rates on different data, for example.

Abstract: Systems and methods are provided for computing migration and performance matrices. The matrices may provide risk and performance data, as well as different views on the data useful for making and monitoring investment decisions. The migration and performance matrices may bring together data to reflect information on the likelihood that a rated entity will change its current rating within a given time period, information reflecting retention rates, and information describing the effect of changed exchanged rates on different data, for example.

Abstract: Computer-implemented methods, computer systems, and computer program products are provided for determining specified matrices. The matrices may be associated with financial institutions and the financial affairs in a banking practice. In one implementation, a base matrix is formed which may be used to create the specified matrices when processing mass data.

Abstract: Systems and methods are provided for computing migration and performance matrices. The matrices may provide risk and performance data, as well as different views on the data useful for making and monitoring investment decisions. The migration and performance matrices may bring together data to reflect information on the likelihood that a rated entity will change its current rating within a given time period, information reflecting retention rates, and information describing the effect of changed exchanged rates on different data, for example.

Abstract: Systems and methods are provided for computing migration and performance matrices. The matrices may provide risk and performance data, as well as different views on the data useful for making and monitoring investment decisions. The migration and performance matrices may bring together data to reflect information on the likelihood that a rated entity will change its current rating within a given time period, information reflecting retention rates, and information describing the effect of changed exchanged rates on different data, for example.

Abstract: Computer-implemented methods, computer systems, and computer program products are provided for determining specified matrices. The matrices may be associated with financial institutions and the financial affairs in a banking practice. In one implementation, a base matrix is formed which may be used to create the specified matrices when processing mass data.

Abstract: Computer-implemented methods, computer systems, and computer programs product are provided for automated generic and parallel aggregation of characteristics and key figures of unsorted mass data being of specific economic interest, particularly associated with financial institutions, and with financial affairs in banking practice. The parallel aggregation may reduce the amount of data for a customer defined granularity for the purpose of facilitating the handling of raw data related to all areas of credit risk management in banking practice. Moreover, the computing power of software and the software performance run time, respectively, may be improved in the case of mass data.

Abstract: Computer-implemented methods, computer systems, and computer program products are provided for determining specified matrices. The matrices may be associated with financial institutions and the financial affairs in a banking practice. In one implementation, a base matrix is formed which may be used to create the specified matrices when processing mass data.

Abstract: A belt and conical pulley transmission including pairs of conical pulleys on the drive side and on the driven side, each pair of pulleys including an axially movable and an axially fixed conical pulley. A plate-link chain is disposed between the pulley pairs to transmit torque and includes pressure pieces. A slide rail guides the chain in a chain movement direction and is tiltably supported for tilting movement relative to a support. The slide rail is also movable along the support in a transverse direction relative to the chain movement direction to guide the chain during transmission ratio changes to minimize chain transverse oscillations and consequent acoustic disturbances.

Abstract: Computer-implemented methods, computer systems, and computer programs product are provided for automated generic and parallel aggregation of characteristics and key figures of unsorted mass data being of specific economic interest, particularly associated with financial institutions, and with financial affairs in banking practice. The parallel aggregation may reduce the amount of data for a customer defined granularity for the purpose of facilitating the handling of raw data related to all areas of credit risk management in banking practice. Moreover, the computing power of software and the software performance run time, respectively, may be improved in the case of mass data.

Abstract: Computer-implemented methods, computer systems, and computer programs product are provided for automated generic and parallel aggregation of characteristics and key figures of unsorted mass data being of specific economic interest, particularly associated with financial institutions, and with financial affairs in banking practice. The parallel aggregation may reduce the amount of data for a customer defined granularity for the purpose of facilitating the handling of raw data related to all areas of credit risk management in banking practice. Moreover, the computing power of software and the software performance run time, respectively, may be improved in the case of mass data.

Abstract: Systems and methods are provided for computing migration and performance matrices. The matrices may provide risk and performance data, as well as different views on the data useful for making and monitoring investment decisions. The migration and performance matrices may bring together data to reflect information on the likelihood that a rated entity will change its current rating within a given time period, information reflecting retention rates, and information describing the effect of changed exchanged rates on different data, for example.

Abstract: Computer-implemented methods, computer systems, and computer program products are provided for determining specified matrices. The matrices may be associated with financial institutions and the financial affairs in a banking practice. In one implementation, a base matrix is formed which may be used to create the specified matrices when processing mass data.

Abstract: Computer-implemented methods, computer systems, and computer programs product are provided for automated generic and parallel aggregation of characteristics and key figures of unsorted mass data being of specific economic interest, particularly associated with financial institutions, and with financial affairs in banking practice. The parallel aggregation may reduce the amount of data for a customer defined granularity for the purpose of facilitating the handling of raw data related to all areas of credit risk management in banking practice. Moreover, the computing power of software and the software performance run time, respectively, may be improved in the case of mass data.