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As an important method for the aero-engine performance testing, the data in the process of aero-engine -altitude simulation test is extremely valuable and essential. To display the data more intuitively and to explore its deeper meanings and potential value, the development of the real-time migration and visualization technology of the data flow generated from the aero-engine-altitude simulation test-bed basing on multi-framework integration is proposed. Firstly, with the Mybatis-Plus automatic view layer, data stored in the bottom historical database can be visualized in the browser's table structure space. Then, data flow technology migration, referring to the JDBC interface based on GateWay's current limiting mechanism and integrates multi-thread parallel transport flows using Mybatis' load balancing mechanism. Therefore, the essential information in historical database for subsequent algorithm analysis can be synchronized to local database. Finally, with Vue framework, data flow front-end monitoring interface verifies data visualization, integrity, and effectiveness in real-time.

The number of central and peripheral B cells and their responsiveness are decreased in aged mice. The diversity of mice central and peripheral B cell repertoires with increasing age has not been elucidated. In this study, we demonstrated that there were significant differences in the usage of some V, D, and J genes in the BCR H-CDR3 repertoire of bone marrow B cells, spleen B cells and spleen memory B cells in 3-, 12-, and 20-month-old mice. In the productive, pseudogene, and out-of-frame sequences, bone marrow B cells had significant differences in 5′J trimming with age; peripheral spleen B cells and memory B cells had significant differences in N1 insertion, N2 insertion, P5’D insertion, and 5’D trimming with age. The BCR H-CDR3 repertoire diversity of mice bone marrow B cells, spleen B cells and spleen memory B cells decreased with increasing age. The proportion of overlap in bone marrow and spleen B cells, but not spleen memory B cells, of mice at different ages was lower at 3 months than at 12 and 20 months. This study is the first to report the homogeneity and heterogeneity of the CDR3 repertoire of central and peripheral B cells change as mice age, to further investigation of the decline and response of B cell immunity in young/middle/old-aged mice.

The control technology of electromechanical actuator(EMA) and its fault diagnosis is one of the key problems of multi-electric aircraft study. The method based on deep learning is used to diagnose and isolate the classic faults of EMA. The simulation model of EMA is modeling according to the working principle and control law. Four typical faults of EMA are studied,including return channel jam, spall, motor fault, and position sensor fault. Sparse Auto Encoder (SAE) algorithm can perform adaptive extraction of sensor data, which preserves dimensionality reduction and compression while preserving important features. Bidirectional Long Short Term Memory (BiLSTM) neural network is used to effectively process the time series data, which considering both past and future data during the fault diagnosis process. The established EMA model is simulated to obtain normal and faulty data sets, which are used to train the network by SAE-BiLSTM algorithm, and then the trained network is used for online fault diagnosis. After the experiment, SAE-BiLSTM algorithm can well complete the EMA fault detection and isolation.

Additional file 1. Supplemental Information can be found online at immunity.

In this paper, the authors present a new structured vacuum microelectronic (VME) sensor which dramatically reduces the alignment accuracy requirement and makes the assembly of the sensor much easier to control. In the conventional VME sensor, the emission cathode and the sensing film are fabricated respectively, and then bonded together. Our new idea is to make the emission cathode directly on the pressure sensing membrane, and the sensing film no longer need to be fabricated on the other wafer which acts as the anode. Thus the required align accuracy is reduced by 1-2 orders of magnitude when bond the anode with the cathode.