Comparison of the Efficacy of Standard Decompressive Craniectomy Combined with Cerebrospinal Fluid Circulation Reconstruction in the Treatment of Severe Craniocerebral Injury

Objective:To observe and discuss the clinical effect of standard decompressive craniectomy combined with cerebrospinal fluid circulation reconstruction in the treatment of severe craniocerebral injury.Methods:Seventy patients who underwent surgery in our hospital were selected as subjects for this study.The time was from August 2016 to August 2018,and patients were divided into experimental group(35 cases)and control group(35 cases)according to the random number table method.The control group was treated with a single standard decompressive craniectomy according to clinical symptoms.The experimental group was treated with standard decompressive craniectomy combined with cerebrospinal fluid circulation reconstruction.The surgical treatment effect,GCS(Glasgow Coma Scale)score and operation time were compared between the two groups.Results:After comparison,the surgical treatment effect of the experimental group was higher than that of the control group and there was a significant difference between the two groups(P<0.05).The GCS score and operation time of the experimental group were also better than of the control group and there was a significant difference the two groups(P<0.05).Conclusion:The use of standard decompressive craniectomy combined with cerebrospinal fluid circulation reconstruction in the treatment of severe craniocerebral injury is more effective and worthy of widespread promotion and application.

Clinical Study of Microvascular Decompression for the Treatment of Trigeminal Neuralgia

Objective:To explore the value of microvascular decompression in the treatment of trigeminal neuralgia.Methods:The clinical data of 80 patients with trigeminal neuralgia who admitted to our hospital from February 2015 to February 2019 were retrospectively analyzed.The patients were randomly divided into two groups.The control group received routine treatment,and the observation group underwent microvascular decompression.Results:The total effective rate of the observation group was higher than that of the control group,P<0.05.The recurrence rate of the observation group was lower than that of the control group,P<0.05.Conclusion:Microvascular decompression for the treatment of trigeminal neuralgia can significantly improve the efficacy and reduce the recurrence.

Transition control of a tail-sitter unmanned aerial vehicle with L1 neural network adaptive control

The main task of this work is to design a control system for a small tail-sitter Unmanned Aerial Vehicle(UAV)during the transition process.Although reasonable control performance can be obtained through a well-tuned single PID or cascade PID control architecture under nominal conditions,large or fast time-varying disturbances and a wide range of changes in the equilibrium point bring nonlinear characteristics to the transition control during the transition process,which leads to control precision degradation.Meanwhile,the PID controller’s tuning method relies on engineering experiences to a certain extent and the controller parameters need to be retuned under different working conditions,which limits the rapid deployment and preliminary validation.Based on the above issues,a novel control architecture of L1 neural network adaptive control associated with PID control is proposed to improve the compensation ability during the transition process and guarantee the security transition.The L1 neural network adaptive control is revised to solve the multi-input and multi-output problem of the tail-sitter UAV system in this study.Finally,the transition characteristics of the time setting difference between the desired transition speed and the desired transition pitch angle are analyzed.

Transition characteristics for a small tail-sitter unmanned aerial vehicle

Research on the transition phase of tail-sitter Unmanned Aerial Vehicles(UAVs)is crucial for trajectory planning and performance analysis.This study focuses on the analysis of the transition characteristics and path of a small dual-rotor tail-sitter UAV,including static and dynamic computations.The system input time delay and actuator dynamics are specifically considered during the dynamic analysis,and these actual physical properties ensure that the computation results are reliable and reasonable.The UAV steady-state limit is obtained through static analysis,which is also adopted to verify the correctness of the dynamic results.In regard to the dynamic analysis,several typical transition approaches are computed based on different initial states and optimization objective functions,and the different computations are applicable under specific task conditions.The off-line dynamic results of the transition path and actuator output sequence could also be adopted as reference values for the transition process during real flight.A comparison of the static and dynamic results illustrates the necessity of combining these two methods for UAV transition characteristic analysis.Furthermore,the UAV conceptual parameters related to the transition path are also studied,and the obtained quantitative characteristics provide feedback for the UAV conceptual design.