Objective To examine the correlation between the health-related quality of life measured by the St.George's Respiratory Questionnaire(SGRQ) and the commonly used physiological measures in lymphangioleiomyomatosis(...Objective To examine the correlation between the health-related quality of life measured by the St.George's Respiratory Questionnaire(SGRQ) and the commonly used physiological measures in lymphangioleiomyomatosis(LAM).Methods This study retrospectively analyzed the SGRQ scores and other measures(the Borg scale of breathlessness at rest,6-minute walking distance,blood oxygen levels,and pulmonary function) of patients diagnosed and confirmed with LAM.Altogether 38 patients between June 2007 and November 2009 were included.Results The mean values of the SGRQ three components(symptoms,activity,and impacts) and total scores in the LAM patients were 46.95±28.90,58.47±25.41,47.89±29.66,and 51.11±26.35,respectively.The SGRQ total or component scores were correlated well with the Borg scale of breathlessness,6-minute walking distance,partial pressure of oxygen in arterial blood,spirometry and diffusion capacity of lung.There were poor correlations between SGRQ score and residual volume or total lung capacity.In our preliminary observation,sirolimus improved the SGRQ total and three component scores and the Borg scale of breathlessness significantly after 101-200 days of treatment(n=6).Conclusions The SGRQ score in LAM is correlated well with physiological measures(Borg scale of breathlessness,6-minute walking distance,blood oxygen levels,and pulmonary function tests).The SGRQ could therefore be recommended in baseline and follow-up evaluation of patients with LAM.Treatment with sirolimus,an inhibitor of mammalian target of rapamycin,may improve the quality of life and patient's perception of breathlessness in LAM.展开更多
Power analysis is a non-invaslve attack against cryptographic hardware, which effectively exploits runtime power consumption characteristics of circuits. This paper proposes a new power model which combines Hamming Di...Power analysis is a non-invaslve attack against cryptographic hardware, which effectively exploits runtime power consumption characteristics of circuits. This paper proposes a new power model which combines Hamming Distance model and the model based on the template value of power consumption in combinational logic circuit. The new model can describe the power consumption characteristics of sequential logic circuits and those of combinational logic as well. The new model can be used to improve the existing power analysis methods and detect the information leakage of power consumption. Experimental results show that, compared to CPA（Correlation Power Analysis） method, our proposed attack which adopt the combinational model is more efficient in terms of the number of required power traces.展开更多
We theoretically investigate a device consisting of two quantum dots （QDs） side-coupled to a quantum wire which has many physical ingredients of an artificial heavy fermion system. An extra parameter, the distance L...We theoretically investigate a device consisting of two quantum dots （QDs） side-coupled to a quantum wire which has many physical ingredients of an artificial heavy fermion system. An extra parameter, the distance L between the two QDs, is introduced and it plays an important role on the competition of the Kondo temperature and magnetic coupling. Three different phases are found： antiferromagnetic phase, Kondo phase with spin S = 1/2, and Kondo phase with S = 1, depending on the distance L, the magnetic properties are qualitatively different for different phases： conductance tends to the unitary value 2e2 /h; for the S ： the distance. coupling, and the Kondo temperature. Quantum transport for the S = 1 Kondo and the antiferromagnetic phases, the 1/2 Kondo phase the conductance is strongly dependent onthe distance.展开更多
Dual clustering performs object clustering in both spatial and non-spatial domains that cannot be dealt with well by traditional clustering methods.However,recent dual clustering research has often omitted spatial out...Dual clustering performs object clustering in both spatial and non-spatial domains that cannot be dealt with well by traditional clustering methods.However,recent dual clustering research has often omitted spatial outliers,subjectively determined the weights of hybrid distance measures,and produced diverse clustering results.In this study,we first redefined the dual clustering problem and related concepts to highlight the clustering criteria.We then presented a self-organizing dual clustering algorithm (SDC) based on the self-organizing feature map and certain spatial analysis operations,including the Voronoi diagram and polygon aggregation and amalgamation.The algorithm employs a hybrid distance measure that combines geometric distance and non-spatial similarity,while the clustering spectrum analysis helps to determine the weight of non-spatial similarity in the measure.A case study was conducted on a spatial database of urban land price samples in Wuhan,China.SDC detected spatial outliers and clustered the points into spatially connective and attributively homogenous sub-groups.In particular,SDC revealed zonal areas that describe the actual distribution of land prices but were not demonstrated by other methods.SDC reduced the subjectivity in dual clustering.展开更多
基金Supported by National Basic Research Program of China (973 Program) (2009CB522106)
文摘Objective To examine the correlation between the health-related quality of life measured by the St.George's Respiratory Questionnaire(SGRQ) and the commonly used physiological measures in lymphangioleiomyomatosis(LAM).Methods This study retrospectively analyzed the SGRQ scores and other measures(the Borg scale of breathlessness at rest,6-minute walking distance,blood oxygen levels,and pulmonary function) of patients diagnosed and confirmed with LAM.Altogether 38 patients between June 2007 and November 2009 were included.Results The mean values of the SGRQ three components(symptoms,activity,and impacts) and total scores in the LAM patients were 46.95±28.90,58.47±25.41,47.89±29.66,and 51.11±26.35,respectively.The SGRQ total or component scores were correlated well with the Borg scale of breathlessness,6-minute walking distance,partial pressure of oxygen in arterial blood,spirometry and diffusion capacity of lung.There were poor correlations between SGRQ score and residual volume or total lung capacity.In our preliminary observation,sirolimus improved the SGRQ total and three component scores and the Borg scale of breathlessness significantly after 101-200 days of treatment(n=6).Conclusions The SGRQ score in LAM is correlated well with physiological measures(Borg scale of breathlessness,6-minute walking distance,blood oxygen levels,and pulmonary function tests).The SGRQ could therefore be recommended in baseline and follow-up evaluation of patients with LAM.Treatment with sirolimus,an inhibitor of mammalian target of rapamycin,may improve the quality of life and patient's perception of breathlessness in LAM.
基金supported by Major State Basic Research Development Program(No. 2013CB338004)National Natural Science Foundation of China(No.61402286, 61202372,61202371,61309021)National Science and Technology Major Project of the Ministry of Science and Technology of China (No.2014ZX01032401-001)
文摘Power analysis is a non-invaslve attack against cryptographic hardware, which effectively exploits runtime power consumption characteristics of circuits. This paper proposes a new power model which combines Hamming Distance model and the model based on the template value of power consumption in combinational logic circuit. The new model can describe the power consumption characteristics of sequential logic circuits and those of combinational logic as well. The new model can be used to improve the existing power analysis methods and detect the information leakage of power consumption. Experimental results show that, compared to CPA（Correlation Power Analysis） method, our proposed attack which adopt the combinational model is more efficient in terms of the number of required power traces.
基金supported by National Science Foundation of China under Grant Nos.10974236 and 11074174
文摘We theoretically investigate a device consisting of two quantum dots （QDs） side-coupled to a quantum wire which has many physical ingredients of an artificial heavy fermion system. An extra parameter, the distance L between the two QDs, is introduced and it plays an important role on the competition of the Kondo temperature and magnetic coupling. Three different phases are found： antiferromagnetic phase, Kondo phase with spin S = 1/2, and Kondo phase with S = 1, depending on the distance L, the magnetic properties are qualitatively different for different phases： conductance tends to the unitary value 2e2 /h; for the S ： the distance. coupling, and the Kondo temperature. Quantum transport for the S = 1 Kondo and the antiferromagnetic phases, the 1/2 Kondo phase the conductance is strongly dependent onthe distance.
基金supported by the National Natural Science Foundation of China(Grant No.40901188)the Key Laboratory of Geo-informatics of the State Bureau of Surveying and Mapping(Grant No.200906)the Fundamental Research Funds for the Central Universities(Grant No.4082002)
文摘Dual clustering performs object clustering in both spatial and non-spatial domains that cannot be dealt with well by traditional clustering methods.However,recent dual clustering research has often omitted spatial outliers,subjectively determined the weights of hybrid distance measures,and produced diverse clustering results.In this study,we first redefined the dual clustering problem and related concepts to highlight the clustering criteria.We then presented a self-organizing dual clustering algorithm (SDC) based on the self-organizing feature map and certain spatial analysis operations,including the Voronoi diagram and polygon aggregation and amalgamation.The algorithm employs a hybrid distance measure that combines geometric distance and non-spatial similarity,while the clustering spectrum analysis helps to determine the weight of non-spatial similarity in the measure.A case study was conducted on a spatial database of urban land price samples in Wuhan,China.SDC detected spatial outliers and clustered the points into spatially connective and attributively homogenous sub-groups.In particular,SDC revealed zonal areas that describe the actual distribution of land prices but were not demonstrated by other methods.SDC reduced the subjectivity in dual clustering.
