The microgravity environment experienced during spaceflight severely impaired immune system, making astronauts vulnerable to various diseases that seriously threaten the health of astronauts. Immune cells are exceptionally sensitive to changes in gravity and the microgravity environment can affect multiple aspects of immune cells through different mechanisms. Previous reports have mainly summarized the role of microgravity in the classification of innate and adaptive immune cells, lacking an overall grasp of the laws that microgravity effects on immune cells at different stages of their entire developmental process, such as differentiation, activation, metabolism, as well as function, which are discussed and concluded in this review. The possible molecular mechanisms are also analysed to provide a clear understanding of the specific role of microgravity in the whole development process of immune cells. Furthermore, the existing methods by which to reverse the damage of immune cells caused by microgravity, such as the use of polysaccharides, flavonoids, other natural immune cell activators etc. to target cell proliferation, apoptosis and impaired function are summarized. This review will provide not only new directions and ideas for the study of immune cell function in the microgravity environment, but also an important theoretical basis for the development of immunosuppression prevention and treatment drugs for spaceflight.
With the rapid development of the economy[1], the number of cars in our country continues to increase, underground parking garages have become commercial centers, supporting facilities in large residential areas, the number of underground garages is increasing, and the energy consumption of underground garage lighting systems is also rising. This question proposes an intelligent lighting control system based on the Internet of Things technology, studies the wifi protocol, wireless mesh networking technology, the Internet of Things cloud platform and other technologies. Based on the ESP32 chip, the terminal lighting control node is designed and developed, which cooperates with the sensor to realize the detection of personnel movement and light intensity information. The terminal lighting node controls the brightness and switch of the lamps according to this information, and realizes the effect of turning on the lights when the car arrives and turning off the lights when the car leaves, so as to achieve energy-saving control purpose.
For the wind and solar diesel storage grid-connected microgrid, in order to meet the minimum investment cost of the microgrid at the initial stage and have certain economic benefits. The objective function of this paper is the annual average economic cost, the number of each micro-power source is used as the optimization variable, the constraints of micro-grid operation are considered, the capacity optimization configuration model of grid-connected micro-grid is established, and then the improved genetic algorithm can be used to solve this problem. Finally, the annual average economic cost, the utilization rate of new energy and the redundancy rate are used as evaluation indicators. By comparing the configuration results of genetic algorithm, wolf pack algorithm and mixed wolf pack genetic algorithm, the capacity allocation scheme of microgrid under economic indicators is obtained.
In recent years, due to the vigorous development of China’s economy and society, the country’s energy use is increasingly high, and the demand is very large. Effectively reducing power consumption while ensuring economic and social development has become a very important issue that the whole Chinese economy and society are concerned about. Based on this, a device energy consumption acquisition device is proposed in this paper. The hardware adopts ESP32 microprocessor as the core controller, and the current type current transformer is used to collect the voltage and current signal data of the device. Arduino software is used to design the acquisition program and output energy consumption data. Finally, the device is tested, and the results show that the device can collect energy consumption data of the equipment.
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