Abstract: A method for regenerating a humoral immunity system. A pluripotent stem cell is used for expressing a RUNX1 gene, a HOXA9 gene and an LHX2 gene to efficiently obtain B cell seeds after in vitro induction differentiation, and after transplantation, a complete humoral immune system can be reconstructed in an animal in which the humoral immune system is missing. According to the method, an antigen-specific antibody immune response can be realized, a specific high-affinity antibody can be generated against an antigen, and immunological memory can be produced. Meanwhile, the reconstructed immune system is safe, and carries no risk of tumorigenicity.

Abstract: The present application relates to the field of pharmaceutical chemistry, relates to an SOS1 inhibitor containing phosphorus, i.e., a compound of formula (I) and a preparation method therefor, and a pharmaceutical composition containing the compound, and relates to use thereof in the preparation of a drug for treating a disease and/or disorder related to SOS1 or regulated by SOS1.

Abstract: A digital simulation system of a power distribution network, comprising: a client and a server end. The server end is a simulation server cluster composed of several simulation servers; the simulation server cluster and the client are mutually connected through a communication bus, wherein the client is configured to use a DCOM component to invoke a simulation service provided by the server end, and the server end is configured to distribute a task to be processed to each cluster node. Constructing the above-mentioned digital simulation system facilitates an optimal planning and operation of a smart power distribution network, thereby improving the utilization efficiency and reliability of the smart power distribution network and reducing the loss of a power outage.

Abstract: A method of predicting the operation reliability of a distribution network, the method being based on an ARIMA model. By establishing an ARIMA model predict a user monthly power outage count; convert a non-smooth element outage count time series to a smooth time series; perform regression on only lagged values of a dependent variable, and on current values and lagged values of a stochastic error term, so as to establish a user monthly power outage count model; according to a prediction result sample an outage point, and at the same time, taking into account a real time load operating state, establish a failure mode effects table based on TLOC criteria and PLOC criteria; and calculate a system recovery time for each instance of device outage, and finally obtain a whole-year reliability index.

Abstract: An embodiment provides a multi-time-scale Digital/Analog (D/A) hybrid simulation system and simulation method therefor for a complex power distribution network and a computer storage medium, and is intended to solve existing problems about multi-time-scale modeling and simulation of the complex power distribution network and simulation accuracy and efficiency of the complex power distribution network.

Abstract: An embodiment provides a multi-time-scale Digital/Analog (D/A) hybrid simulation system and simulation method therefor for a complex power distribution network and a computer storage medium, and is intended to solve existing problems about multi-time-scale modeling and simulation of the complex power distribution network and simulation accuracy and efficiency of the complex power distribution network.

Abstract: A digital simulation system of a power distribution network, comprising: a client and a server end. The server end is a simulation server cluster composed of several simulation servers; the simulation server cluster and the client are mutually connected through a communication bus, wherein the client is configured to use a DCOM component to invoke a simulation service provided by the server end, and the server end is configured to distribute a task to be processed to each cluster node. Constructing the above-mentioned digital simulation system facilitates an optimal planning and operation of a smart power distribution network, thereby improving the utilization efficiency and reliability of the smart power distribution network and reducing the loss of a power outage.

Abstract: A method of predicting the operation reliability of a distribution network, the method being based on an ARIMA model. By establishing an ARIMA model predict a user monthly power outage count; convert a non-smooth element outage count time series to a smooth time series; perform regression on only lagged values of a dependent variable, and on current values and lagged values of a stochastic error term, so as to establish a user monthly power outage count model; according to a prediction result sample an outage point, and at the same time, taking into account a real time load operating state, establish a failure mode effects table based on TLOC criteria and PLOC criteria; and calculate a system recovery time for each instance of device outage, and finally obtain a whole-year reliability index.