To investigate the impact of different kinds of nerve injuries of early-stage fracture healing.Methods Three groups of rats were included in the experiment among which group 1 was inflicted with femoral fracture and T...To investigate the impact of different kinds of nerve injuries of early-stage fracture healing.Methods Three groups of rats were included in the experiment among which group 1 was inflicted with femoral fracture and T10 spinal cord transsection (SCI),group 2 was inflicted with femoral and peripheral nerve resection (PNR),and group 3 with simple femoral fracture as control group.Two weeks after operation the femoral bones were collected for X-ray checking and 2 more weeks later X-ray checking was performed again followed by pathomorphologic exams.Results X-ray result showed no massive calluses in the bones in the 2nd week postoperatively,while in the 4th week,callus appeared with larger size in group 3 than that of group 1 and with smaller size than that of group 2.It was the same with the result of pathomorphologic examining.Cortical bone bridges between fracture point and osteiod were also found in group 2 and there were less normal blood vessels and worse bone remodeling than that of group 3.There were relatively immature calluses with more fibroblast-like cells and disordered bone structure in group 2.Group 3 showed normal healing process and callus structure.Conclusion Early-stage bone fracture healing can be influenced significantly by different kinds of nerve injuries.6 refs,6 figs.展开更多
The New Century International Children's Hospital in Beijing exemplifies a new trend in hospital management Chinese parents and children, who are used to the noise and disruption of the typical hospital, may well ...The New Century International Children's Hospital in Beijing exemplifies a new trend in hospital management Chinese parents and children, who are used to the noise and disruption of the typical hospital, may well find themselves unaccustomed to the quiet setting of the New Century International Children's Hospital.展开更多
“What is your favorite subject?” I have put this question to hundreds of Chinese children and teenagers.My motive was not research as such but a desire to get students speaking English in response to a topic in thei...“What is your favorite subject?” I have put this question to hundreds of Chinese children and teenagers.My motive was not research as such but a desire to get students speaking English in response to a topic in their textbooks.展开更多
Internet of things(IoT)has become more popular due to the development and potential of smart technology aspects.Security concerns against IoT infrastructure,applications,and devices have grown along with the need for ...Internet of things(IoT)has become more popular due to the development and potential of smart technology aspects.Security concerns against IoT infrastructure,applications,and devices have grown along with the need for IoT technologies.Enhanced system security protocols are difficult due to the diverse capabilities of IoT devices and the dynamic,ever-changing environment,and simply applying basic security requirements is dangerous.Therefore,this proposed work designs a malware detection and prevention approach for secure data transmission among IoT gadgets.The malware detection approach is designed with the aid of a deep learning approach.The initial process is identifying attack nodes from normal nodes through a trust value using contextual features.After discovering attack nodes,these are considered for predicting different kinds of attacks present in the network,while some preprocessing and feature extraction strategies are applied for effective classification.The Deep LSTM classifier is applied for this malware detection approach.Once completed malware detection,prevention is performed with the help of the Improved Elliptic Curve Cryptography(IECC)algorithm.A hybrid MA-BW optimization is adopted for selecting the optimal key during transmission.Python 3.8 software is used to test the performance of the proposed approach,and several existing techniques are considered to evaluate its performance.The proposed approach obtained 95%of accuracy,5%of error value and 92%of precision.In addition,the improved ECC algorithm is also compared with some existing algorithm which takes 6.02 s of execution time.Compared to the other methods,the proposed approach provides better security to IoT gadgets during data transmission.展开更多
文摘To investigate the impact of different kinds of nerve injuries of early-stage fracture healing.Methods Three groups of rats were included in the experiment among which group 1 was inflicted with femoral fracture and T10 spinal cord transsection (SCI),group 2 was inflicted with femoral and peripheral nerve resection (PNR),and group 3 with simple femoral fracture as control group.Two weeks after operation the femoral bones were collected for X-ray checking and 2 more weeks later X-ray checking was performed again followed by pathomorphologic exams.Results X-ray result showed no massive calluses in the bones in the 2nd week postoperatively,while in the 4th week,callus appeared with larger size in group 3 than that of group 1 and with smaller size than that of group 2.It was the same with the result of pathomorphologic examining.Cortical bone bridges between fracture point and osteiod were also found in group 2 and there were less normal blood vessels and worse bone remodeling than that of group 3.There were relatively immature calluses with more fibroblast-like cells and disordered bone structure in group 2.Group 3 showed normal healing process and callus structure.Conclusion Early-stage bone fracture healing can be influenced significantly by different kinds of nerve injuries.6 refs,6 figs.
文摘The New Century International Children's Hospital in Beijing exemplifies a new trend in hospital management Chinese parents and children, who are used to the noise and disruption of the typical hospital, may well find themselves unaccustomed to the quiet setting of the New Century International Children's Hospital.
文摘“What is your favorite subject?” I have put this question to hundreds of Chinese children and teenagers.My motive was not research as such but a desire to get students speaking English in response to a topic in their textbooks.
文摘Internet of things(IoT)has become more popular due to the development and potential of smart technology aspects.Security concerns against IoT infrastructure,applications,and devices have grown along with the need for IoT technologies.Enhanced system security protocols are difficult due to the diverse capabilities of IoT devices and the dynamic,ever-changing environment,and simply applying basic security requirements is dangerous.Therefore,this proposed work designs a malware detection and prevention approach for secure data transmission among IoT gadgets.The malware detection approach is designed with the aid of a deep learning approach.The initial process is identifying attack nodes from normal nodes through a trust value using contextual features.After discovering attack nodes,these are considered for predicting different kinds of attacks present in the network,while some preprocessing and feature extraction strategies are applied for effective classification.The Deep LSTM classifier is applied for this malware detection approach.Once completed malware detection,prevention is performed with the help of the Improved Elliptic Curve Cryptography(IECC)algorithm.A hybrid MA-BW optimization is adopted for selecting the optimal key during transmission.Python 3.8 software is used to test the performance of the proposed approach,and several existing techniques are considered to evaluate its performance.The proposed approach obtained 95%of accuracy,5%of error value and 92%of precision.In addition,the improved ECC algorithm is also compared with some existing algorithm which takes 6.02 s of execution time.Compared to the other methods,the proposed approach provides better security to IoT gadgets during data transmission.
