Abstract: The present invention relates to a pharmaceutical composition for preventing or treating coronavirus disease 19 (COVID-19) and specifically, to a pharmaceutical composition containing a carbocyclic nucleoside derivative represented by Chemical Formula A-1 or A-2 or a pharmaceutically acceptable salt thereof.

Abstract: A computer system compresses value change data. Value change ranges are identified for value changes corresponding to different times. Codes are selected based on the identified value change ranges. The value change range codes are concatenated with machine-coded categories and stored. The stored concatenated codes are used for transaction validation.

Abstract: The disclosed embodiments relate to systems and methods for generating an optimal solution for determining a value for one or more base data objects. A plurality of solutions include one or more composite data objects transacted by a transaction system processor. The composite data objects include the one or more base data objects. An optimal solution is generated by using data indicative of a level of activity and a number of sources for each of the plurality of composite data objects.

Abstract: The disclosed embodiments relate to systems and methods for generating an optimal solution for determining a value for one or more base data objects. A plurality of solutions include one or more composite data objects transacted by a transaction system processor. The composite data objects include the one or more base data objects. An optimal solution is generated by using data indicative of a level of activity and a number of sources for each of the plurality of composite data objects.

Abstract: A computer system may compress value change data. Value change categories may be identified for value changes corresponding to different times. Codes may then be selected based on the identified value change categories and stored. The stored codes may be used for transaction validation.

Abstract: An exchange computer system may compress price data associated with a financial product. The financial product may be, e.g., a type of futures contract, a type of option, a type of over-the-counter (OTC) forward, a type of OTC option, a type of security, or other type of financial product. The computer system may access data that indicates prices for a financial product at each of multiple times, generate data representing changes in prices, and stores codes representing that generated price change data. Price change categories may be identified for price changes corresponding to different times. Codes may then be selected based on the identified price change categories and stored. The stored codes may be used for price validation and/or other purposes.

Abstract: The disclosed embodiments relate to systems and methods for generating an optimal solution for determining a value for one or more base data objects. A plurality of solutions include one or more composite data objects transacted by a transaction system processor. The composite data objects include the one or more base data objects. An optimal solution is generated by using data indicative of a level of activity and a number of sources for each of the plurality of composite data objects.

Abstract: The disclosed embodiments relate to systems and methods for generating an optimal solution for determining a value for one or more base data objects. A plurality of solutions include one or more composite data objects transacted by a transaction system processor. The composite data objects include the one or more base data objects. An optimal solution is generated by using data indicative of a level of activity and a number of sources for each of the plurality of composite data objects.

Abstract: The disclosed embodiments relate to systems and methods for generating an optimal solution for determining a value for one or more base data objects. A plurality of solutions include one or more composite data objects transacted by a transaction system processor. The composite data objects include the one or more base data objects. An optimal solution is generated by using data indicative of a level of activity and a number of sources for each of the plurality of composite data objects.

Abstract: The disclosed embodiments relate to systems and methods for generating an optimal solution for determining a value for one or more base data objects. A plurality of solutions include one or more composite data objects transacted by a transaction system processor. The composite data objects include the one or more base data objects. An optimal solution is generated by using data indicative of a level of activity and a number of sources for each of the plurality of composite data objects.

Abstract: A range reduction system reduces the range and size of possible values for a target object within an exchange computing system by identifying all possible routes from known object values to the target object. Each route may include a pair of high and low values, and each route may expand the target object range. The reduced range allows selection of a value that ensures that all of the transaction requests associated with base objects remain valid, such that they can still be satisfied by the exchange computing system, and that the transaction requests remain compatible with the target object's reduced range and value selected therein.

Abstract: The disclosed embodiments relate to systems and methods for generating an optimal solution for determining a value for one or more base data objects. A plurality of solutions include one or more composite data objects transacted by a transaction system processor. The composite data objects include the one or more base data objects. An optimal solution is generated by using data indicative of a level of activity and a number of sources for each of the plurality of composite data objects.

Abstract: Price change categories may be identified for price changes corresponding to different times. Codes may then be selected based on the identified price change categories and stored. The stored codes may be used for price validation and/or other purposes.