Coronavirus disease 2019(COVID-19)has become a worldwide pandemic.Hospitalized patients of COVID-19 suffer from a high mortality rate,motivating the development of convenient and practical methods that allow clinician...Coronavirus disease 2019(COVID-19)has become a worldwide pandemic.Hospitalized patients of COVID-19 suffer from a high mortality rate,motivating the development of convenient and practical methods that allow clinicians to promptly identify high-risk patients.Here,we have developed a risk score using clinical data from 1479 inpatients admitted to Tongji Hospital,Wuhan,China(development cohort)and externally validated with data from two other centers:141 inpatients from Jinyintan Hospital,Wuhan,China(validation cohort 1)and 432 inpatients from The Third People’s Hospital of Shenzhen,Shenzhen,China(validation cohort 2).The risk score is based on three biomarkers that are readily available in routine blood samples and can easily be translated into a probability of death.The risk score can predict the mortality of individual patients more than 12 d in advance with more than 90%accuracy across all cohorts.Moreover,the Kaplan-Meier score shows that patients can be clearly differentiated upon admission as low,intermediate,or high risk,with an area under the curve(AUC)score of 0.9551.In summary,a simple risk score has been validated to predict death in patients infected with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2);it has also been validated in independent cohorts.展开更多
Wireless sensor networks(WSNs)have become increasingly popular due to the rapid growth of the Internet of Things.As open wireless transmission media are easy to attack,security is one of the primary design concerns fo...Wireless sensor networks(WSNs)have become increasingly popular due to the rapid growth of the Internet of Things.As open wireless transmission media are easy to attack,security is one of the primary design concerns for WSNs.Current solutions consider routing and data encryption as two isolated issues,providing incomplete security.Therefore,in this paper,we divide the WSN communication process into a data path selection phase and a data encryption phase.We propose an improved transmission method based on ant colony optimization(ACO)and threshold proxy re-encryption for WSNs,and we named it as ACOTPRE.The method resists internal and external attacks and ensures safe and efficient data transmission.In the data path selection stage,the ACO algorithm is used for network routing.The improvement of the pheromone concentration is proposed.In order to resist attacks from external attackers,proxy re-encryption is extended to WSN in the data encryption stage.The threshold secret sharing algorithm is introduced to generate a set of re-encryption key fragments composed of random numbers at the source node.We confirm the performance of our model via simulation studies.展开更多
基金supported by the Special Fund for Novel Coronavirus Pneumonia from the Department of Science and Technology of Hubei Province(2020FCA035)the Fundamental Research Funds for the Central Universities,Huazhong University of Science and Technology(2020kfyXGYJ023).
文摘Coronavirus disease 2019(COVID-19)has become a worldwide pandemic.Hospitalized patients of COVID-19 suffer from a high mortality rate,motivating the development of convenient and practical methods that allow clinicians to promptly identify high-risk patients.Here,we have developed a risk score using clinical data from 1479 inpatients admitted to Tongji Hospital,Wuhan,China(development cohort)and externally validated with data from two other centers:141 inpatients from Jinyintan Hospital,Wuhan,China(validation cohort 1)and 432 inpatients from The Third People’s Hospital of Shenzhen,Shenzhen,China(validation cohort 2).The risk score is based on three biomarkers that are readily available in routine blood samples and can easily be translated into a probability of death.The risk score can predict the mortality of individual patients more than 12 d in advance with more than 90%accuracy across all cohorts.Moreover,the Kaplan-Meier score shows that patients can be clearly differentiated upon admission as low,intermediate,or high risk,with an area under the curve(AUC)score of 0.9551.In summary,a simple risk score has been validated to predict death in patients infected with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2);it has also been validated in independent cohorts.
基金This work was supported in part by Beijing Municipal Natural Science Foundation(19L2020)National Key Research and Development Project(Key Technologies and Applications of Security and Trusted Industrial Control System NO.2020YFB2009500).
文摘Wireless sensor networks(WSNs)have become increasingly popular due to the rapid growth of the Internet of Things.As open wireless transmission media are easy to attack,security is one of the primary design concerns for WSNs.Current solutions consider routing and data encryption as two isolated issues,providing incomplete security.Therefore,in this paper,we divide the WSN communication process into a data path selection phase and a data encryption phase.We propose an improved transmission method based on ant colony optimization(ACO)and threshold proxy re-encryption for WSNs,and we named it as ACOTPRE.The method resists internal and external attacks and ensures safe and efficient data transmission.In the data path selection stage,the ACO algorithm is used for network routing.The improvement of the pheromone concentration is proposed.In order to resist attacks from external attackers,proxy re-encryption is extended to WSN in the data encryption stage.The threshold secret sharing algorithm is introduced to generate a set of re-encryption key fragments composed of random numbers at the source node.We confirm the performance of our model via simulation studies.
