Autonomous driving technology has made a lot of outstanding achievements with deep learning,and the vehicle detection and classification algorithm has become one of the critical technologies of autonomous driving syst...Autonomous driving technology has made a lot of outstanding achievements with deep learning,and the vehicle detection and classification algorithm has become one of the critical technologies of autonomous driving systems.The vehicle instance segmentation can perform instance-level semantic parsing of vehicle information,which is more accurate and reliable than object detection.However,the existing instance segmentation algorithms still have the problems of poor mask prediction accuracy and low detection speed.Therefore,this paper proposes an advanced real-time instance segmentation model named FIR-YOLACT,which fuses the ICIoU(Improved Complete Intersection over Union)and Res2Net for the YOLACT algorithm.Specifically,the ICIoU function can effectively solve the degradation problem of the original CIoU loss function,and improve the training convergence speed and detection accuracy.The Res2Net module fused with the ECA(Efficient Channel Attention)Net is added to the model’s backbone network,which improves the multi-scale detection capability and mask prediction accuracy.Furthermore,the Cluster NMS(Non-Maximum Suppression)algorithm is introduced in the model’s bounding box regression to enhance the performance of detecting similarly occluded objects.The experimental results demonstrate the superiority of FIR-YOLACT to the based methods and the effectiveness of all components.The processing speed reaches 28 FPS,which meets the demands of real-time vehicle instance segmentation.展开更多
Objective To summarize the main characteristics and development approaches of direct-to-patient(DTP)pharmacies,and to explore its future development trend.Methods Firstly,relevant policies of DTP pharmacies were sorte...Objective To summarize the main characteristics and development approaches of direct-to-patient(DTP)pharmacies,and to explore its future development trend.Methods Firstly,relevant policies of DTP pharmacies were sorted out based on some documents on the government website,and related articles were studied.Secondly,499 DTP pharmacies were investigated.Finally,the current status of the industry was summarized and analyzed.Results and Conclusion Policies on China’s DTP pharmacy have been constantly improved.According to industry standards,the current compliance rate of DTP pharmacies is about 46.09%.In terms of varieties,the market share concentration rate of biological products is higher than that of chemical drugs.The regional distribution of these drugs is mainly concentrated in the central and eastern provinces.However,63.45%of DTP pharmacies have less than 50 product specifications.DTP pharmacies have an average of 7.3 pharmacy technicians and 2.3 licensed pharmacists,which is higher than that of ordinary pharmacies.Due to the policy promotion,DTP pharmacies will be paid more attention by the public and the government,and the market share will become larger than before.Patients shifting from hospitals to drug-to-pharmacies can make them better layout.Besides,pharmaceutical services will become more specialized,and disease division will be more detailed.With the deepening of medical reform and the continuous improvement of national medical security as well as drug procurement and medical insurance payment methods,DTP pharmacies can play an important role in the national basic medical security system.展开更多
基金supported by the Natural Science Foundation of Guizhou Province(Grant Number:20161054)Joint Natural Science Foundation of Guizhou Province(Grant Number:LH20177226)+1 种基金2017 Special Project of New Academic Talent Training and Innovation Exploration of Guizhou University(Grant Number:20175788)The National Natural Science Foundation of China under Grant No.12205062.
文摘Autonomous driving technology has made a lot of outstanding achievements with deep learning,and the vehicle detection and classification algorithm has become one of the critical technologies of autonomous driving systems.The vehicle instance segmentation can perform instance-level semantic parsing of vehicle information,which is more accurate and reliable than object detection.However,the existing instance segmentation algorithms still have the problems of poor mask prediction accuracy and low detection speed.Therefore,this paper proposes an advanced real-time instance segmentation model named FIR-YOLACT,which fuses the ICIoU(Improved Complete Intersection over Union)and Res2Net for the YOLACT algorithm.Specifically,the ICIoU function can effectively solve the degradation problem of the original CIoU loss function,and improve the training convergence speed and detection accuracy.The Res2Net module fused with the ECA(Efficient Channel Attention)Net is added to the model’s backbone network,which improves the multi-scale detection capability and mask prediction accuracy.Furthermore,the Cluster NMS(Non-Maximum Suppression)algorithm is introduced in the model’s bounding box regression to enhance the performance of detecting similarly occluded objects.The experimental results demonstrate the superiority of FIR-YOLACT to the based methods and the effectiveness of all components.The processing speed reaches 28 FPS,which meets the demands of real-time vehicle instance segmentation.
文摘Objective To summarize the main characteristics and development approaches of direct-to-patient(DTP)pharmacies,and to explore its future development trend.Methods Firstly,relevant policies of DTP pharmacies were sorted out based on some documents on the government website,and related articles were studied.Secondly,499 DTP pharmacies were investigated.Finally,the current status of the industry was summarized and analyzed.Results and Conclusion Policies on China’s DTP pharmacy have been constantly improved.According to industry standards,the current compliance rate of DTP pharmacies is about 46.09%.In terms of varieties,the market share concentration rate of biological products is higher than that of chemical drugs.The regional distribution of these drugs is mainly concentrated in the central and eastern provinces.However,63.45%of DTP pharmacies have less than 50 product specifications.DTP pharmacies have an average of 7.3 pharmacy technicians and 2.3 licensed pharmacists,which is higher than that of ordinary pharmacies.Due to the policy promotion,DTP pharmacies will be paid more attention by the public and the government,and the market share will become larger than before.Patients shifting from hospitals to drug-to-pharmacies can make them better layout.Besides,pharmaceutical services will become more specialized,and disease division will be more detailed.With the deepening of medical reform and the continuous improvement of national medical security as well as drug procurement and medical insurance payment methods,DTP pharmacies can play an important role in the national basic medical security system.
