Abstract: An apparatus of a next generation Node B (gNB) Distributed Unit (DU) comprises one or more baseband processors to transmit one or more retransmitted Packet Data Convergence Protocol (PDCP) Protocol Data Units (PDUs) received from a gNB Central Unit (CU) to a user equipment (UE), and to feed back not only a latest, in-sequence New Radio User-plane (NR-U) Sequence Number (SN) to the CU for Release 15, but also a highest, in-sequence successfully delivered/transmitted PDCP SN, optionally, with a NR-U SN up to which the reported PDCP SN should be applied, which can provide an exact range of successfully delivered/transmitted status for retransmitted packets even in case of DU's re-ordering based on PDCP SN before transmitting to the UE. The apparatus can include a memory to store the reported PDCP SN and NR-U SN.

Abstract: Disclosed is a method for qualitative and quantitative determination of key substances in mixture based on terahertz spectrum. Terahertz spectrum of a reference mixture is trained through an SVR algorithm, and predicting parameters of key substances in the mixture to be determined after a model is generated. According to the method, an initial pure spectrum corresponding to each composition in the mixture does not need to be separately determined, no limitation on the number of samples contained in the mixture, and no limitation on frequency range to be determined, and the proportion requirement of the mixture in the early test stage is not limited, and the SVR model does not need to be re-trained after a database is formed in the later stage, and the result can be obtained immediately after the spectrum of item to be determined is introduced into the algorithm model.

Abstract: Disclosed is a method for qualitative and quantitative determination of key substances in mixture based on terahertz spectrum. Terahertz spectrum of a reference mixture is trained through an SVR algorithm, and predicting parameters of key substances in the mixture to be determined after a model is generated. According to the method, an initial pure spectrum corresponding to each composition in the mixture does not need to be separately determined, no limitation on the number of samples contained in the mixture, and no limitation on frequency range to be determined, and the proportion requirement of the mixture in the early test stage is not limited, and the SVR model does not need to be re-trained after a database is formed in the later stage, and the result can be obtained immediately after the spectrum of item to be determined is introduced into the algorithm model.