Search

Background Camrelizumab and nab-paclitaxel demonstrated promising anti-tumour activity in refractory metastatic immunomodulatory triple-negative breast cancer (TNBC) in FUTURE trial. Anti-angiogenic agents have been reported to facilitate immune infiltration. Famitinib is a tyrosine kinase inhibitor targeting VEGFR-2, PDGFR and c-kit. The FUTURE-C-PLUS trial (NCT04129996) which added famitinib to camrelizumab and nab-paclitaxel is a single-arm, phase 2 trial evaluating this novel triplet combinatorial strategy in patients with advanced immunomodulatory TNBC. Study design and the primary endpoint ORR has been reported previously (Zhi-ming Shao, et al. ASCO 2021, Abstract 1007). Here, we reported the updated results of this trial. Method Briefly, this study enrolled women aged 18-70 years, with previously untreated, histologically confirmed, unresectable, locally advanced, recurrent or metastatic immunomodulatory TNBC. Immunomodulatory TNBC was defined as CD8 expression on at least 10% of cells using immunohistochemistry analysis. Eligible patients received the triple therapy. Study design has been reported previously in ASCO 2021. Results Between Oct 2019 and Oct 2020, 48 patients were enrolled and treated. 39 (81.3%, 95% CI 70.2-92.3) patients had a confirmed objective response which has been reported in ASCO 2021. At this updating data cutoff (June 30, 2021), the median progression-free survival was 11.9 months (95% CI, 7.3-16.5) with the median follow-up was 14.0 months. While overall survival data were not mature yet, a promising overall survival rate was observed at 12 months (84•2%, 95% CI 73.4-95.0) and 18 months (73.6%, 95% CI 52.0-95.2). In the 39 responders, median duration of response was also not mature. The disease control rate was 95.8% (46/48). The most common treatment-related grade 3 or 4 adverse events were neutropenia (16 [33.3%]), anemia (5 [10.4%]), febrile neutropenia (5 [10.4%]), and thrombocytopenia (4 [8.3%]). No treatment-related deaths were reported. Conclusions These data, combined with those from our previous reports, provide further evidence for the triplet combination of famitinib, camrelizumab and nab-paclitaxel as an active therapy in advanced Immunomodulatory TNBC. To our knowledge, this is the best objective response rate reached in first-line treatment of advanced TNBC. A randomized controlled FUTURE-Super trial (NCT04395989) is keeping recruiting patients to further validate those findings. Citation Format: Li Chen, Yi-Zhou Jiang, Songyang Wu, Jiong Wu, Genhong Di, Guangyu Liu, Keda Yu, Lei Fan, Junjie Li, Yifeng Hou, Zhen Hu, Canming Chen, Xiaoyan Huang, Ayong Cao, Xin Hu, Shen Zhao, Xiaoyan Ma, Xiaoyu Zhu, Jianjun Zou, Wentao Yang, Zhonghua Wang, Zhi-ming Shao. Updated data from FUTURE-C-PLUS: Combination of famitinib with camrelizumab plus nab-paclitaxel as first-line treatment for advanced, immunomodulatory triple-negative breast cancer, an open-label, single-arm, phase 2 trial [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P2-14-04.

Voting is one of the most prominent components of democracy. The one-vote veto, which requires the voting result to be only “yes” or “no”, is a particularly noteworthy type of voting with widespread application. When obtaining a “no” result, no useful information about the number of “no” votes and who votes “no” is disclosed. In this paper, we introduce a protocol for anonymous one-vote veto utilizing qubits and local Pauli operations $\mathbb {Z}$ and $\mathbb {X}$ , building simple processes for easy implementation under the current technology. For better elaboration, we give two examples: all voters cast “yes” votes and only one voter casts a “no.” Then, the corresponding experiment tests are conducted on the simulated IBM quantum computer to verify their feasibility. We also show that the proposed protocol has the desirable properties of privacy, fairness, verifiability and robustness. Furthermore, we analyze the proposed protocol’s security against cheating from eavesdroppers, a semi-honest server and malicious voters. This work is the first attempt to illustrate how qubits can be useful for building a secure anonymous one-vote veto strategy.

The plasma wake of reentry vehicles has the advantages of extensive space range and long traceability, which provides new possibilities for the detection and monitoring of reentry vehicles. Based on the Zakharov model, this work investigates the excitation and power spectrum characteristics of electromagnetic radiation for the plasma wake of a typical reentry vehicle. With the aid of parametric decay instability, the excitation condition of electromagnetic radiation for a typical plasma wake is evaluated first. The power spectrum characteristics of electromagnetic radiation, including the effects of both the flight parameters and incident wave parameters are analyzed in detail. The results show that when the phenomenon of excited electromagnetic radiation occurs, plasma wakes closer to the bottom of the vehicle and with faster speeds require higher incident frequencies and thresholds of the electric field. As the frequency of the incident wave increases, peaks appear in the power spectra of plasma wakes, and their magnitudes increase gradually. The frequency shifts of the secondary peaks are equal, whereas, the peaks of the downshifted spectral lines are generally larger than those of the upshifted spectral lines. The work in this paper provides a new idea and method for the tracking of reentry vehicles, which has potential application value in the field of reentry vehicle detection.

As the Internet of Things technology develops rapidly, cyber-physical systems (CPSs) have provided critical technologies in the industrial field. A smart grid is a typical application of the CPS, which is formed by the coupling of the power network and communication network. In general, the two networks are heterogeneous. Considering the characteristics of the power network, the ordinary percolation network model is not suitable for the network carrying physical flow. Therefore, we propose an interdependent network model with a load. That is, nodes in the physical network have loaded. Then, we research the security of CPS under the multi-load mode. The rule for node failure is different from the percolation model. When a node’s load exceeds its capacity, the node fails. Through the theoretical analysis, we obtained the iterative equation of the percolation threshold and analyzed it through simulation experiments. We adopt both linear and nonlinear capacity models. It is found that appropriately increasing the average degree of ER network can improve its ability to resist attacks. In contrast, the power exponent of the SF network has less influence on the critical value of network percolation. In addition, we found that increasing the capacity parameter in the linear capacity model can improve the robustness of the network, where the variation of the ER-ER network is more evident than that of the SF-SF network. Increasing the capacity parameter in the nonlinear capacity model can significantly increase the network’s ability to resist attacks. However, due to the increase in economical cost, we can improve the network’s reliability by increasing the node capacity while controlling the cost.

A method to analyze the scattering characteristics of a Laguerre–Gaussian (LG) vortex beam by a low-velocity charge in a steady applied magnetic field is investigated in this paper. Based on the plane wave angular spectrum representation and the electromagnetic radiation theory of a moving charge, the expressions of the scattered field and scattered power per unit solid angle are presented. Considering a low-velocity electron, the distribution of the scattered power per unit solid angle is numerically simulated. The effects of electron motion parameters, beam parameters, and applied magnetic field are discussed in detail. The results show that the longitudinal motion of the electron, which is parallel to the direction of the applied magnetic field, makes the distribution of the scattered power no longer maintain radial consistency but has a concave–convex distribution. Due to the periodicity of the circular motion of the electron in the applied magnetic field, the scattering power distribution pattern consists of many annular lobes. The spectral characteristics of the backscattered field are analyzed by fast Fourier transform. It is confirmed that the scattered field satisfies the rotational and the linear Doppler effects, and the accuracy of the formula provided in this paper is verified. This work lays a foundation for further study of the scattering characteristics of plasma on vortex electromagnetic waves and helps to promote the in-depth development of vortex beams in the field of plasma diagnosis.

To solve the problem that existing machine reading comprehension models can't understand the semantics of articles and questions well, this paper proposes a multi-level semantic fusion neural network based on natural language understanding and deep learning. The model combines calculations of attentions at different levels with cross-layer fusions of historical data. Experiments on the SQuAD dataset prove that our proposed model is superior to traditional models in terms of the exact match rate and F1 value. Our model can better transmit and interpret data and enhance the performance of question answering systems.