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Integration of chimeric antigen receptor T (CAR-T) cell therapy and allogeneic hematopoietic stem cell transplantation (allo-HSCT) is an emerging technology for B-cell acute lymphoblastic leukemia (B-ALL) treatment with unknown impact on HSCT-related complications. We performed a retrospective cohort study of patients receiving CD19/CD22 dual-targeting or CD19 single-targeting CAR-T therapy before HSCT (CD19/CD22 dual-targeting CAR-T group and CD19 single targeting CAR-T group, respectively), and patients did not receive CAR-T therapy before transplantation (non-CAR-T group). Cumulative incidence of platelet engraftment on day 28 was lower in the CD19/CD22 dual-targeting CAR-T group compared to other groups (p=0.028) and it was proved to be an independent risk factor for delayed platelet recovery on day 28 (OR: 2.65; p=0.001). The CD19/CD22 dual-targeting CAR-T bridging to HSCT independently increases risk of early CMV-viremia (HR, 2.96; p=0.001). Both CAR-T groups had higher incidence of 100-day Epstein-Barr virus (EBV)-viremia, compared with the non-CAR-T group (p=0.043 and p=0.001, respectively). Patients receiving CAR-T cell therapy had a higher risk for early EBV-viremia (HR, 6.77; p=0.030). Relapse and survival did not differ between the 3 groups (p>0.05). Integrating CD19/CD22 dual-targeting CAR-T therapy and HSCT delays platelet engraftment and increases the risks of early CMV- and EBV-viremia.

Due to the frequent occurrence of network security incidents, causing unnecessary losses to people, frequent network security incidents are worrying. For the problems of Internet application network information security, attackers use attacks to continuously threaten them. This paper studies the method of information security monitoring and early warning mechanism for Internet application network based on particle swarm optimization. Based on the support vector regression machine, a network security prediction model with multi-group chaotic particle optimization is established. The prediction results are obtained through the network information security monitoring and early warning mechanism, and the prediction results are analyzed and summarized. The results show that the Internet application network information security prediction model based on particle swarm optimization algorithm can provide guidance for the development of network security solutions and strategies, enhance the initiative of network security defense, reduce the losses caused by network attacks, and have better practicality Sex.

Substation equipment status maintenance background. Solve the problem of high cost in equipment maintenance. A decision model for substation equipment maintenance based on association set decomposition is proposed. Under the premise that the state of the device state is known. Analysis of the basic structure of substation equipment. And predict the operating status of the device. Starting from the functional association between devices, the association set is the basic unit. Realize the time-varying maintenance decision of the equipment. The conclusion is obtained by the model verification experiment: Compared with traditional equipment overhaul models. The method of substation equipment maintenance decision model based on association set decomposition can save 16.5% maintenance cost.

The thickness of an active layer is limited by its low mobility of carriers in a polymer solar cell composed of the blend bulk-heterojunction formed by P3HT as donor material and PCBM as acceptor material, which can affect the light absorption of the polymer solar cell. Metal nanocrystals-doped polymer active layer can enhance its inner electrical field and absorb light due to the surface plasmon resonance (SPR) effect of the nanocrystals. Two-dimensional electrical field distributions in the polymer solar cells are simulated based on finite difference time domain (FDTD) approach, under the assumption that the diameter of doping nano-Ag is 50 nm, the distance between two nanocrystals is 50nm and the incident light wavelength is 400 nm or 500 nm. The electrical field distributions over the cross-section of nano-Ag are also simulated at the incident light angle of 15°, 45°, 60°, respectively. The light absorption of different devices are calculated, in which the sizes of nano-Ag take 10 nm, 20 nm and 50 nm, respectively, Particles of nano-Ag are dispersed in PEDOT:PSS layer. Moreover, the light absorption is calculated at the incident light angles of 15°, 45°, 60°, respectively. Results show that the electrical field is redistributed due to the SPR effect caused by nano-Ag in the polymer active layer. A larger size of nano-Ag leads to light scattering in a wider angle, thus results in more light absorption by the device. Here, the colloid of nano-Ag is prepared from an organic salt of Ag, and the polymer solar cell with nano-Ag is fabricated in the structure of glass /ITO (～100 nm) /PEDOT:PSS (40 nm) /P3HT:PCBM (～100 nm)/(nano-Ag) /LiF (1 nm) /Al (120 nm). Furthermore, experimental results show that the nano-Ag doped in P3HT:PCBM layer increases light absorption and improves the electrical performance of the device, which enhances the incident photon conversion efficiency (IPCE) in spectrum at 520nm by 17.9%.