Based on the latest statistics on trends in cancer incidence and mortality worldwide, cancer burden is growing at an alarming pace. Many anticancer drugs have been proved effective against cancer cells as well as toxic to human tissues, which prevents sufficient doses from being administered to obtain a complete cure. In this paper we build an optimal control model to optimize the scheduling problem along one cycle of chemotherapy treatment using a single anticancer drug etoposide (VP-16). In the model, three mathematic models are adopted to mimic physiological response of body under chemotherapy: (i) Pharmacokinetic model of anticancer drug; (ii) A two-compartment tumor growth dynamic model under the influence of cell-cycle-specific anticancer drugs; and (iii) A semi-mechanistic model for myelosuppression. In this new integrated model clinically relevant objectives are proposed to gain a trade-off between efficacy and toxicity. Simulation results of clinical protocols are consistent with real-life clinical data. Furthermore, we find a new optimal drug regimen which can improve the efficacy without the risk of severe toxicity.
This paper proposes an attitude control strategy based on road level for heavy rescue vehicles. The strategy aims to address the problem of poor ride comfort and stability of heavy rescue vehicles in complex road conditions. Firstly, with the pressure of the suspension hydraulic cylinder chamber without a piston rod as the parameter, Takagi–Sugeno fuzzy controller classification and adaptive network-based fuzzy inference system controller classification are used to recognise the road level. Secondly, particle swarm optimisation is adopted to obtain the optimal parameters of the active suspension system of vehicle body attitude control under different road levels. Lastly, the parameters of the active suspension system are selected in accordance with the road level recognised in the driving process to improve the adaptive adjustment capability of the active suspension system at different road levels. Test results show that the root mean square values of vertical acceleration, pitch angle and roll angle of the vehicle body are reduced by 59.9%, 76.2% and 68.4%, respectively. This reduction improves the ride comfort and stability of heavy rescue vehicles in complex road conditions.
Due to the lack of body stability of emergency rescue vehicles, their attitude stability is insufficient and they are unable to realize working while driving, resulting in low rescue efficiency. Aiming at the water tower fire truck, which is equipped with an active suspension system, the vehicle attitude stability is studied. First, combined with the active suspension system and spray system, a 13-DOF integrated dynamic model for the water tower fire truck is established. Using the model-assisted active disturbance rejection control method, the controllers are designed for the vertical displacement, pitch angle, and roll angle of the vehicle attitude. Then, the computer simulation is carried out to verify the effectiveness of this control method. Finally, the water spray obstacle crossing experiment is carried out with a JP32G water tower fire truck. The results show that when the vehicle runs over the triangular obstacle on one side and two sides in the integrated spray-active suspension mode, the peak–peak values of body pitch angle and roll angle are reduced by 10.9% and 23.2%, and 23.7% and 16.3%, respectively, compared with the passive hydro pneumatic suspension.
Capacity is the important indicator of the cone crushers, which is determined by the motion characteristics of particles. The spatial compound motion of the mantle, which rotates both around the central axis of the cone crusher and its central axis, was analyzed to develop motion characteristic equations of particles. The velocity distribution of particles with different motion characteristics was determined by solving the motion characteristic equations of particles using the coordinate system transformation matrix. An improved capacity model of the cone crushers based on the motion characteristics of particles considering the influence of the spatial compound motion of the mantle was established by analyzing the velocity of particles in the upward and downward direction zones of the choke-level and the influence of circumferential deflection of particles on the velocity in the radial direction. A reduced-scale cone crusher with various rotational speeds was used to simulate cone crushers with different motion characteristics of the particles passing through the choke-level. The average error between the capacity calculated by the improved capacity model and the capacity determined according to the experimental data was 5.96%. Therefore, the accuracy of the improved capacity model was verified. The improved capacity model was used in the capacity calculation of the ZS200MF cone crusher; the error was 7.4% compared with the measured value at the production site; thus, the applicability of the improved capacity model is proved. The influences of four typical parameters of the cone crusher on capacity were investigated based on the improved capacity model, which provides theoretical support for the development of new high-efficiency cone crusher and the optimization of existing equipment.
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