The stability of Non-Linear Feedback Shift Registers(NFSRs)plays an important role in the cryptographic security.Due to the complexity of nonlinear systems and the lack of efficient algebraic tools,the theorems relate...The stability of Non-Linear Feedback Shift Registers(NFSRs)plays an important role in the cryptographic security.Due to the complexity of nonlinear systems and the lack of efficient algebraic tools,the theorems related to the stability of NFSRs are still not well-developed.In this paper,we view the NFSR with periodic inputs as a Boolean control network.Based on the mathematical tool of semi-tensor product(STP),the Boolean network can be mapped into an algebraic form.Through these basic theories,we analyze the state space of non-autonomous NFSRs,and discuss the stability of an NFSR with periodic inputs of limited length or unlimited length.The simulation results are provided to prove the efficiency of the model.Based on these works,we can provide a method to analyze the stability of the NFSR with periodic input,including limited length and unlimited length.By this,we can efficiently reduce the computational complexity,and its efficiency is demonstrated by applying the theorem in simulations dealing with the stability of a non-autonomous NFSR.展开更多
Objective Previous studies have proven that cumulative smoking dose predicts the prevalence of epidermal growth factor receptor(EGFR) mutations. The aim of this study was to investigate the relationship between smokin...Objective Previous studies have proven that cumulative smoking dose predicts the prevalence of epidermal growth factor receptor(EGFR) mutations. The aim of this study was to investigate the relationship between smoking-related factors and EGFR mutation status. Methods Samples were collected from 195 smokers with non-small cell lung cancer(NSCLC) who underwent surgical resection and the presence of EGFR mutations(exons 19 and 21) were determined by real-time polymerase chain reaction(RT-PCR).Results EGFR gene mutations were present in 33(16.9%) patients who were smokers; the patients were divided into three groups according to the smoking index(SI). The incidence of EGFR mutations decreased from 38.9% in mild smokers to 8.1% in severe smokers(P = 0.001). Compared to daily smoking dose(P = 0.547), initial smoking age(P = 0.085) and duration of smoking history had a larger effect on EGFR mutation status(P = 0.002).Conclusion Although there is a decrease in the incidence of mutations with increasing SI, there were still around 17% of smokers with NSCLC that harbored EGFR mutations, so it is necessary to test for EGFR mutation status in smokers with NSCLC.展开更多
Personalized recommendation algorithms,which are effective means to solve information overload,are popular topics in current research.In this paper,a recommender system combining popularity and novelty(RSCPN)based on ...Personalized recommendation algorithms,which are effective means to solve information overload,are popular topics in current research.In this paper,a recommender system combining popularity and novelty(RSCPN)based on one-mode projection of weighted bipartite network is proposed.The edge between a user and item is weighted with the item’s rating,and we consider the difference in the ratings of different users for an item to obtain a reasonable method of measuring the similarity between users.RSCPN can be used in the same model for popularity and novelty recommendation by setting different parameter values and analyzing how a change in parameters affects the popularity and novelty of the recommender system.We verify and compare the accuracy,diversity and novelty of the proposed model with those of other models,and results show that RSCPN is feasible.展开更多
基金This work is supported by the National Natural Science Foundation of China(Grants Nos.61672020,U1803263,61662069,61762068,31560622,31260538,30960246,31672385,71761029)Project funded by China Postdoctoral Science Foundation(2013M542560,2015T81129)+6 种基金A Project of Shandong Province Higher Educational Science and Technology Program(No.J16LN61)Inner Mongolia Colleges and Universities Scientific and Technological Research Projects(Grant No.NJZC17148)CERNET Innovation Project(No.NGII20161209)Natural Science Foundation of Inner Mongolia Autonomous Region of china(No.2017MS0610,No.2017MS717)Program for Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region(No.NJYT-18-A13)Inner Mongolia Key Laboratory of economic data analysis and mining China-Mongolia Scientific Research Capacity Building of Incubator,Joint Laboratory and Technology Transfer Center,Education research project of national finance and economics(No.MZCJYB1803)Postgraduate research and innovation project of Inner Mongolia university of finance and economics.
文摘The stability of Non-Linear Feedback Shift Registers(NFSRs)plays an important role in the cryptographic security.Due to the complexity of nonlinear systems and the lack of efficient algebraic tools,the theorems related to the stability of NFSRs are still not well-developed.In this paper,we view the NFSR with periodic inputs as a Boolean control network.Based on the mathematical tool of semi-tensor product(STP),the Boolean network can be mapped into an algebraic form.Through these basic theories,we analyze the state space of non-autonomous NFSRs,and discuss the stability of an NFSR with periodic inputs of limited length or unlimited length.The simulation results are provided to prove the efficiency of the model.Based on these works,we can provide a method to analyze the stability of the NFSR with periodic input,including limited length and unlimited length.By this,we can efficiently reduce the computational complexity,and its efficiency is demonstrated by applying the theorem in simulations dealing with the stability of a non-autonomous NFSR.
文摘Objective Previous studies have proven that cumulative smoking dose predicts the prevalence of epidermal growth factor receptor(EGFR) mutations. The aim of this study was to investigate the relationship between smoking-related factors and EGFR mutation status. Methods Samples were collected from 195 smokers with non-small cell lung cancer(NSCLC) who underwent surgical resection and the presence of EGFR mutations(exons 19 and 21) were determined by real-time polymerase chain reaction(RT-PCR).Results EGFR gene mutations were present in 33(16.9%) patients who were smokers; the patients were divided into three groups according to the smoking index(SI). The incidence of EGFR mutations decreased from 38.9% in mild smokers to 8.1% in severe smokers(P = 0.001). Compared to daily smoking dose(P = 0.547), initial smoking age(P = 0.085) and duration of smoking history had a larger effect on EGFR mutation status(P = 0.002).Conclusion Although there is a decrease in the incidence of mutations with increasing SI, there were still around 17% of smokers with NSCLC that harbored EGFR mutations, so it is necessary to test for EGFR mutation status in smokers with NSCLC.
基金Project funded by the National Science Foundation of China under Grant(Nos.61462091,61672020,U1803263,61866039,61662085)by the Data Driven Software Engineering innovation team of Yunnan province(No.2017HC012)+2 种基金by Scientific Research Foundation Project of Yunnan Education Department(No.2019J0008,2019J0010)by China Postdoctoral Science Foundation(Nos.2013M542560,2015T81129)A Project of Shandong Province Higher Educational Science and Technology Program(No.J16LN61).
文摘Personalized recommendation algorithms,which are effective means to solve information overload,are popular topics in current research.In this paper,a recommender system combining popularity and novelty(RSCPN)based on one-mode projection of weighted bipartite network is proposed.The edge between a user and item is weighted with the item’s rating,and we consider the difference in the ratings of different users for an item to obtain a reasonable method of measuring the similarity between users.RSCPN can be used in the same model for popularity and novelty recommendation by setting different parameter values and analyzing how a change in parameters affects the popularity and novelty of the recommender system.We verify and compare the accuracy,diversity and novelty of the proposed model with those of other models,and results show that RSCPN is feasible.
