AIM:To study the impact of rejection at different levels of health care by retrospectively reviewing records of dried blood spot samples received at the molecular laboratory for human immunodeficiency virus(HIV)early ...AIM:To study the impact of rejection at different levels of health care by retrospectively reviewing records of dried blood spot samples received at the molecular laboratory for human immunodeficiency virus(HIV)early infant diagnosis(EID)between January 2008 and December 2012.METHODS:The specimen rejection rate,reasons for rejection and the impact of rejection at different levels of health care was examined.The extracted data were cleaned and checked for consistency and then deduplicated using the unique patient and clinic identifiers.The cleaned data were ciphered and exported to SPSS version 19(SPSS 2010 IBM Corp,New York,United States)for statistical analyses.RESULTS:Sample rejection rate of 2.4%(n=786/32552)and repeat rate of 8.8%(n=69/786)were established.The mean age of infants presenting for first HIV molecular test among accepted valid samples was 17.83 wk(95%CI:17.65-18.01)vs 20.30 wk(95%CI:16.53-24.06)for repeated samples.HIV infection rate was 9.8%vs 15.9%for accepted and repeated samples.Compared to tertiary healthcare clinics,secondary and primary clinics had twofold and three-fold higher likelihood of sample rejection,respectively(P<0.05).We observed a significant increase in sample rejection rate with increasing number of EID clinics(r=0.893,P=0.041).The major reasons for rejection were improper sample collection(26.3%),improper labeling(16.4%)and insufficient blood(14.8%).CONCLUSION:Programs should monitor pre-analytical variables and incorporate continuous quality improvement interventions to reduce errors associated with sample rejection and improve patient retention.展开更多
Gaussian sampling over the integers is one of the fundamental building blocks of lattice-based cryptography.Among the extensively used trapdoor sampling algorithms,it is ineluctable until now.Under the influence of nu...Gaussian sampling over the integers is one of the fundamental building blocks of lattice-based cryptography.Among the extensively used trapdoor sampling algorithms,it is ineluctable until now.Under the influence of numerous side-channel attacks,it is still challenging to construct a Gaussian sampler that is generic,efficient,and resistant to timing attacks.In this paper,our contribution is three-fold.First,we propose a secure,efficient exponential Bernoulli sampling algorithm.It can be applied to Gaussian samplers based on rejection samplings.We apply it to FALCON,a candidate of round 3 of the NIST post-quantum cryptography standardization project,and reduce its signature generation time by 13–14%.Second,we develop an isochronous Gaussian sampler based on rejection sampling.Our Algorithm can securely sample from Gaussian distributions with different standard deviations and arbitrary centers.We apply it to PALISADE(S&P 2018),an open-source lattice-based cryptography library.During the online phase of trapdoor sampling,the running time of the G-lattice sampling algorithm is reduced by 44.12%while resisting timing attacks.Third,we improve the efficiency of the COSAC sampler(PQC 2020).The new COSAC sampler is 1.46x-1.63x faster than the original and has the lowest expected number of trials among all Gaussian samplers based on rejection samplings.But it needs a more efficient algorithm sampling from the normal distribution to improve its performance.展开更多
Froth flotation is an important mineral concentration technique.Faulty conditions in flotation processes may cause the huge waste of mineral resources and reagents,and consequently,may lead to deterioration in terms o...Froth flotation is an important mineral concentration technique.Faulty conditions in flotation processes may cause the huge waste of mineral resources and reagents,and consequently,may lead to deterioration in terms of benefits of flotation plants.In this paper,we propose a computer vision-aided fault detection and diagnosis approach for froth flotation.Specifically,a joint Gabor texture feature based on the Copula model is designed to describe froth images;a rejection sampling technique is developed to generate training sets from the quality distribution of real flotation products,and then an isolation forest-based fault detector is learned;and a fault diagnosis model based on spline regression is developed for root cause identification.Simulation experiments conducted on the historical industry data show that the proposed strategy has better performance than the alternative methods.Thereafter,the entire framework has been tested on a lead-zinc flotation plant in China.Experimental results have demonstrated the effectiveness of the proposed method.展开更多
基金Supported by The President’s Emergency Plan for AIDS Relief through cooperative agreement(5U2GGH000925-03)from HHS/Centers for Disease Control and Prevention(CDC),Global AIDS Program.The findings and conclusions in this report are those of the author(s)and do not necessarily represent the official position of the Centers for Disease Control and Prevention
文摘AIM:To study the impact of rejection at different levels of health care by retrospectively reviewing records of dried blood spot samples received at the molecular laboratory for human immunodeficiency virus(HIV)early infant diagnosis(EID)between January 2008 and December 2012.METHODS:The specimen rejection rate,reasons for rejection and the impact of rejection at different levels of health care was examined.The extracted data were cleaned and checked for consistency and then deduplicated using the unique patient and clinic identifiers.The cleaned data were ciphered and exported to SPSS version 19(SPSS 2010 IBM Corp,New York,United States)for statistical analyses.RESULTS:Sample rejection rate of 2.4%(n=786/32552)and repeat rate of 8.8%(n=69/786)were established.The mean age of infants presenting for first HIV molecular test among accepted valid samples was 17.83 wk(95%CI:17.65-18.01)vs 20.30 wk(95%CI:16.53-24.06)for repeated samples.HIV infection rate was 9.8%vs 15.9%for accepted and repeated samples.Compared to tertiary healthcare clinics,secondary and primary clinics had twofold and three-fold higher likelihood of sample rejection,respectively(P<0.05).We observed a significant increase in sample rejection rate with increasing number of EID clinics(r=0.893,P=0.041).The major reasons for rejection were improper sample collection(26.3%),improper labeling(16.4%)and insufficient blood(14.8%).CONCLUSION:Programs should monitor pre-analytical variables and incorporate continuous quality improvement interventions to reduce errors associated with sample rejection and improve patient retention.
基金This work is supported in part by National Natural Science Foundation of China(No.U1936209 and No.62002353)China Postdoctoral Science Foundation(No.2021M701726)Yunnan Provincial Major Science and Technology Special Plan Projects(No.202103AA080015).
文摘Gaussian sampling over the integers is one of the fundamental building blocks of lattice-based cryptography.Among the extensively used trapdoor sampling algorithms,it is ineluctable until now.Under the influence of numerous side-channel attacks,it is still challenging to construct a Gaussian sampler that is generic,efficient,and resistant to timing attacks.In this paper,our contribution is three-fold.First,we propose a secure,efficient exponential Bernoulli sampling algorithm.It can be applied to Gaussian samplers based on rejection samplings.We apply it to FALCON,a candidate of round 3 of the NIST post-quantum cryptography standardization project,and reduce its signature generation time by 13–14%.Second,we develop an isochronous Gaussian sampler based on rejection sampling.Our Algorithm can securely sample from Gaussian distributions with different standard deviations and arbitrary centers.We apply it to PALISADE(S&P 2018),an open-source lattice-based cryptography library.During the online phase of trapdoor sampling,the running time of the G-lattice sampling algorithm is reduced by 44.12%while resisting timing attacks.Third,we improve the efficiency of the COSAC sampler(PQC 2020).The new COSAC sampler is 1.46x-1.63x faster than the original and has the lowest expected number of trials among all Gaussian samplers based on rejection samplings.But it needs a more efficient algorithm sampling from the normal distribution to improve its performance.
基金supported by the Joint Funds of the t National Natural Science Foundation of China(No.U1701261)the National Science Fund for Distinguished Young Scholars of China(No.61725306)+2 种基金the National Natural Science Foundation of China(No.61472134)the Research Funds for Strategic Emerging Industry Technological and Achievements Transformation of Hunan Province(No.2018GK4016)the Fundamental Research Funds for the Central Universities of Central South University(No.2018ZZTS169)。
文摘Froth flotation is an important mineral concentration technique.Faulty conditions in flotation processes may cause the huge waste of mineral resources and reagents,and consequently,may lead to deterioration in terms of benefits of flotation plants.In this paper,we propose a computer vision-aided fault detection and diagnosis approach for froth flotation.Specifically,a joint Gabor texture feature based on the Copula model is designed to describe froth images;a rejection sampling technique is developed to generate training sets from the quality distribution of real flotation products,and then an isolation forest-based fault detector is learned;and a fault diagnosis model based on spline regression is developed for root cause identification.Simulation experiments conducted on the historical industry data show that the proposed strategy has better performance than the alternative methods.Thereafter,the entire framework has been tested on a lead-zinc flotation plant in China.Experimental results have demonstrated the effectiveness of the proposed method.
