Author analyzed the global background of low-carbon technology around the world,a technology & economy analysis model called TOS was developed in the paper,author analyzed technology paths for low-carbon Car in Ch...Author analyzed the global background of low-carbon technology around the world,a technology & economy analysis model called TOS was developed in the paper,author analyzed technology paths for low-carbon Car in China based on the current technologies available and technologies to be developed in China,3 possible paths are presented based on the analysis,author also explained the FAW BlueWay technology strategies for low carbon cars both for short mid and long term objectives.Author concludes the paper with illustration of powertrain lineup for FAW BlueWay Technologies.展开更多
The self-driving cars are highly developed and about to meet the market, but the driving strategies and corresponding behaviors with others still need to be tested. In this paper, based on its characteristics and beha...The self-driving cars are highly developed and about to meet the market, but the driving strategies and corresponding behaviors with others still need to be tested. In this paper, based on its characteristics and behaviors of manual-driving vehicles, we propose the driving strategies of manual-driving cars as well as self-driving cars. And we use the cellular automaton to simulate the traffic reality under different conditions, and to evaluate the efficiency of a road when self-driving cars are put into use. This research can be a reference by traffic planning and vehicles performance test, and further research can be designed in a model which can calculate the efficiency of a road when the percentage of self-driving cars are different.展开更多
嵌合抗原受体T(chimeric antigen receptor T cells,CAR-T)细胞已从实验室走向了临床试验,在治疗B细胞恶性肿瘤中取得了显著疗效,但在探索CAR-T细胞治疗恶性肿瘤的临床研究中,仍面临不少困难与挑战:难以找到肿瘤特异性的靶点,以克服其...嵌合抗原受体T(chimeric antigen receptor T cells,CAR-T)细胞已从实验室走向了临床试验,在治疗B细胞恶性肿瘤中取得了显著疗效,但在探索CAR-T细胞治疗恶性肿瘤的临床研究中,仍面临不少困难与挑战:难以找到肿瘤特异性的靶点,以克服其脱靶效应(on-target off tumor effect);在治疗实体瘤中CAR-T细胞很难达到肿瘤部位,以改善免疫抑制微环境发挥作用;CAR-T细胞在清除肿瘤细胞的同时也会杀伤表达相同靶点的正常细胞;针对除B细胞肿瘤之外的血液肿瘤以及实体瘤而言,CAR-T细胞的有效性还有待提高。本文重点介绍如何通过CAR-T细胞结构的优化使得CAR-T细胞能够精准地识别肿瘤细胞,克服肿瘤的免疫抑制微环境来提高CAR-T细胞治疗恶性肿瘤的有效性;同时使得CAR-T细胞可以被更好地控制,使得CAR-T细胞的安全性更高。展开更多
In order to realize the accurate obstacle avoidance function of intelligent car, we propose an intelligent car obstacle avoidance system based on optimized fuzzy control algorithm. Firstly, the kinematics model of int...In order to realize the accurate obstacle avoidance function of intelligent car, we propose an intelligent car obstacle avoidance system based on optimized fuzzy control algorithm. Firstly, the kinematics model of intelligent car obstacle avoidance is established, and an efficient environment information collection system composed of multiple sensors is designed to realize the comprehensive collection of obstacle information. Then, the optimized fuzzy control system is adopted to improve the position control accuracy and obstacle avoidance ability. Through the physical debugging and joint simulation of the intelligent car fuzzy controller in the MATLAB and Simulink environment, the simulation results show that the control method can make the collision-free path planned by the intelligent car from the initial state to the obstacle avoidance smoother, and at the same time, the obstacle avoidance of the intelligent car. The actual running distance is reduced by about 16%, which can ensure the practicability of the obstacle avoidance system, provide a new guarantee for the safe operation of the car, and also provide a new idea for the development of the unmanned car.展开更多
文摘Author analyzed the global background of low-carbon technology around the world,a technology & economy analysis model called TOS was developed in the paper,author analyzed technology paths for low-carbon Car in China based on the current technologies available and technologies to be developed in China,3 possible paths are presented based on the analysis,author also explained the FAW BlueWay technology strategies for low carbon cars both for short mid and long term objectives.Author concludes the paper with illustration of powertrain lineup for FAW BlueWay Technologies.
文摘The self-driving cars are highly developed and about to meet the market, but the driving strategies and corresponding behaviors with others still need to be tested. In this paper, based on its characteristics and behaviors of manual-driving vehicles, we propose the driving strategies of manual-driving cars as well as self-driving cars. And we use the cellular automaton to simulate the traffic reality under different conditions, and to evaluate the efficiency of a road when self-driving cars are put into use. This research can be a reference by traffic planning and vehicles performance test, and further research can be designed in a model which can calculate the efficiency of a road when the percentage of self-driving cars are different.
文摘嵌合抗原受体T(chimeric antigen receptor T cells,CAR-T)细胞已从实验室走向了临床试验,在治疗B细胞恶性肿瘤中取得了显著疗效,但在探索CAR-T细胞治疗恶性肿瘤的临床研究中,仍面临不少困难与挑战:难以找到肿瘤特异性的靶点,以克服其脱靶效应(on-target off tumor effect);在治疗实体瘤中CAR-T细胞很难达到肿瘤部位,以改善免疫抑制微环境发挥作用;CAR-T细胞在清除肿瘤细胞的同时也会杀伤表达相同靶点的正常细胞;针对除B细胞肿瘤之外的血液肿瘤以及实体瘤而言,CAR-T细胞的有效性还有待提高。本文重点介绍如何通过CAR-T细胞结构的优化使得CAR-T细胞能够精准地识别肿瘤细胞,克服肿瘤的免疫抑制微环境来提高CAR-T细胞治疗恶性肿瘤的有效性;同时使得CAR-T细胞可以被更好地控制,使得CAR-T细胞的安全性更高。
文摘In order to realize the accurate obstacle avoidance function of intelligent car, we propose an intelligent car obstacle avoidance system based on optimized fuzzy control algorithm. Firstly, the kinematics model of intelligent car obstacle avoidance is established, and an efficient environment information collection system composed of multiple sensors is designed to realize the comprehensive collection of obstacle information. Then, the optimized fuzzy control system is adopted to improve the position control accuracy and obstacle avoidance ability. Through the physical debugging and joint simulation of the intelligent car fuzzy controller in the MATLAB and Simulink environment, the simulation results show that the control method can make the collision-free path planned by the intelligent car from the initial state to the obstacle avoidance smoother, and at the same time, the obstacle avoidance of the intelligent car. The actual running distance is reduced by about 16%, which can ensure the practicability of the obstacle avoidance system, provide a new guarantee for the safe operation of the car, and also provide a new idea for the development of the unmanned car.
