An intelligent control method based on artificial neural network for numerical flight simulation of the basic finner projectile with pitching maneuver

In this paper,an intelligent control method applying on numerical virtual flight is proposed.The proposed algorithm is verified and evaluated by combining with the case of the basic finner projectile model and shows a good application prospect.Firstly,a numerical virtual flight simulation model based on overlapping dynamic mesh technology is constructed.In order to verify the accuracy of the dynamic grid technology and the calculation of unsteady flow,a numerical simulation of the basic finner projectile without control is carried out.The simulation results are in good agreement with the experiment data which shows that the algorithm used in this paper can also be used in the design and evaluation of the intelligent controller in the numerical virtual flight simulation.Secondly,combined with the real-time control requirements of aerodynamic,attitude and displacement parameters of the projectile during the flight process,the numerical simulations of the basic finner projectile’s pitch channel are carried out under the traditional PID(Proportional-Integral-Derivative)control strategy and the intelligent PID control strategy respectively.The intelligent PID controller based on BP(Back Propagation)neural network can realize online learning and self-optimization of control parameters according to the acquired real-time flight parameters.Compared with the traditional PID controller,the concerned control variable overshoot,rise time,transition time and steady state error and other performance indicators have been greatly improved,and the higher the learning efficiency or the inertia coefficient,the faster the system,the larger the overshoot,and the smaller the stability error.The intelligent control method applying on numerical virtual flight is capable of solving the complicated unsteady motion and flow with the intelligent PID control strategy and has a strong promotion to engineering application.

A nomogram-based immune-serum scoring system predicts overall survival in patients with lung adenocarcinoma

Objective:The immunoscore,which is used to quantify immune infiltrates,has greater relative prognostic value than tumor,node,and metastasis(TNM)stage and might serve as a new system for classification of colorectal cancer.However,a comparable immunoscore for predicting lung adenocarcinoma(LUAD)prognosis is currently lacking.Methods:We analyzed the expression of 18 immune features by immunohistochemistry in 171 specimens.The relationship of immune marker expression and clinicopathologic factors to the overall survival(OS)was analyzed with the Kaplan-Meier method.A nomogram was developed by using the optimal features selected by least absolute shrinkage and selection operator(LASSO)regression in the training cohort(n=111)and evaluated in the validation cohort(n=60).Results:The indicators integrated in the nomogram were TNM stage,neuron-specific enolase,carcino-embryonic antigen,CD8 center of tumor(CT),CD8 invasive margin(IM),Fox P3 CT,and CD45 ROCT.The calibration curve showed prominent agreement between the observed 2-and 5-year OS and that predicted by the nomogram.To simplify the nomogram,we developed a new immune-serum scoring system(I-SSS)based on the points awarded for each factor in the nomogram.Our I-SSS was able to stratify same-stage patients into different risk subgroups.The combination of I-SSS and TNM stage had better prognostic value than the TNM stage alone.Conclusions:Our new I-SSS can accurately and individually predict LUAD prognosis and may be used to supplement prognostication based on the TNM stage.

The biomarkers of immune dysregulation and inflammation response in Parkinson disease

Parkinson’s disease(PD)is referring to the multi-systemicα-synucleinopathy with Lewy bodies deposited in midbrain.In ageing,the environmental and genetic factors work together and overactive major histocompatibility complex pathway to regulate immune reactions in central nerve system which resulting in neural degeneration,especially in dopaminergic neurons.As a series of biomarkers,the human leukocyte antigen genes with its related proteomics play cortical roles on the antigen presentation of major histocompatibility complex molecules to stimulate the differentiation of T lymphocytes and i-proteasome activities under their immune response to the PD-related environmental alteration and genetic variation.Furthermore,dopaminergic drugs change the biological characteristic of T lymphatic cells,affect theα-synuclein presentation pathway,and inhibit T lymphatic cells to release cytotoxicity in PD development.Taking together,the serum inflammatory factors and blood T cells are involved in the immune dysregulation of PD and inspected as the potential clinic biomarkers for PD prediction.