Improving the danger prediction during driving can significantly reduce the risk of accidents.However,previous danger prediction training systems had not been sufficiently effective owing to the lack of realism.In thi...Improving the danger prediction during driving can significantly reduce the risk of accidents.However,previous danger prediction training systems had not been sufficiently effective owing to the lack of realism.In this study,we propose an immersive training system for danger prediction training using virtual reality(VR)technology.This system provides drivers with a highly realistic training environment with 360°videos viewed with VR goggles.Users can practice various dangerous scenarios in an environment that simulates a real-driving situation.In addition,we introduced a system to select dangerous spots with a controller and implement training schemes on a voluntary basis.This setup enables them to train in a highly interactive state.In addition,we proposed a method to express multiple indices numerically so that users can understand the training effect.We tested the effect of the system on the danger prediction abilities of various users with two experiments by using this approach.These results show that our system was more effective in improving the driver’s danger prediction ability than previous systems.展开更多
Security-constrained unit commitment(SCUC)has been extensively studied as a key decision-making tool to determine optimal power generation schedules in the operation of electricity market.With the development of emerg...Security-constrained unit commitment(SCUC)has been extensively studied as a key decision-making tool to determine optimal power generation schedules in the operation of electricity market.With the development of emerging power grids,fruitful research results on SCUC have been obtained.Therefore,it is essential to review current work and propose future directions for SCUC to meet the needs of developing power systems.In this paper,the basic mathematical model of the standard SCUC is summarized,and the characteristics and application scopes of common solution algorithms are presented.Customized models focusing on diverse mathematical properties are then categorized and the corresponding solving methodologies are discussed.Finally,research trends in the field are prospected based on a summary of the state-of-the-art and latest studies.It is hoped that this paper can be a useful reference to support theoretical research and practical applications of SCUC in the future.展开更多
The respiratory burst is an important physiological function of the neutrophils in killing the bacteria invading in human body. We used chemiluminescence method to measure the exogenous arachidonic acid-stimulated res...The respiratory burst is an important physiological function of the neutrophils in killing the bacteria invading in human body. We used chemiluminescence method to measure the exogenous arachidonic acid-stimulated respiratory burst, and measured the cytosolic free calcium concentration in neutrophils by the fluorescence method. It was found that, on one hand, the arachidonic acid-stimulated respiratory burst was enhanced by elevating the cytosolic free calcium concentration in neutrophils with a potent endomembrane Ca2+-ATPase inhibitor, Thapsgargin; on the other hand, chelating the intracellular or extracellular calcium by EGTA or BAPTA inhibited the respiratory burst. Results showed that calcium plays an important regulatory role in the signaling pathway involved in the exogenous arachidonic acid-stimulated respiratory burst of neutrophils.展开更多
文摘Improving the danger prediction during driving can significantly reduce the risk of accidents.However,previous danger prediction training systems had not been sufficiently effective owing to the lack of realism.In this study,we propose an immersive training system for danger prediction training using virtual reality(VR)technology.This system provides drivers with a highly realistic training environment with 360°videos viewed with VR goggles.Users can practice various dangerous scenarios in an environment that simulates a real-driving situation.In addition,we introduced a system to select dangerous spots with a controller and implement training schemes on a voluntary basis.This setup enables them to train in a highly interactive state.In addition,we proposed a method to express multiple indices numerically so that users can understand the training effect.We tested the effect of the system on the danger prediction abilities of various users with two experiments by using this approach.These results show that our system was more effective in improving the driver’s danger prediction ability than previous systems.
基金supported in part by the National Natural Science Foundation of China(No.51607104)。
文摘Security-constrained unit commitment(SCUC)has been extensively studied as a key decision-making tool to determine optimal power generation schedules in the operation of electricity market.With the development of emerging power grids,fruitful research results on SCUC have been obtained.Therefore,it is essential to review current work and propose future directions for SCUC to meet the needs of developing power systems.In this paper,the basic mathematical model of the standard SCUC is summarized,and the characteristics and application scopes of common solution algorithms are presented.Customized models focusing on diverse mathematical properties are then categorized and the corresponding solving methodologies are discussed.Finally,research trends in the field are prospected based on a summary of the state-of-the-art and latest studies.It is hoped that this paper can be a useful reference to support theoretical research and practical applications of SCUC in the future.
基金the National Natural Science Foundation of China (Grant No. 39670205).
文摘The respiratory burst is an important physiological function of the neutrophils in killing the bacteria invading in human body. We used chemiluminescence method to measure the exogenous arachidonic acid-stimulated respiratory burst, and measured the cytosolic free calcium concentration in neutrophils by the fluorescence method. It was found that, on one hand, the arachidonic acid-stimulated respiratory burst was enhanced by elevating the cytosolic free calcium concentration in neutrophils with a potent endomembrane Ca2+-ATPase inhibitor, Thapsgargin; on the other hand, chelating the intracellular or extracellular calcium by EGTA or BAPTA inhibited the respiratory burst. Results showed that calcium plays an important regulatory role in the signaling pathway involved in the exogenous arachidonic acid-stimulated respiratory burst of neutrophils.
