6 research outputs found
Relationship between mannose-binding protein polymorphism and patients with liver cirrhosis and hepatocellular carcinoma
目的探讨甘露糖结合蛋白(MbP)基因突变与肝硬化及肝癌的关系。方法采用聚合酶链式反应-限制性片段长度多态性(PCr-rflP)方法和实时荧光定量PCr(fQ-PCr)技术针对代偿性肝硬化(CC)患者73例、失代偿性肝硬化(dC)患者78例、肝细胞癌(HCC)患者35例和对照组88例健康者的MbP基因第54位密码子多态性进行检测。结果 HCC组的MbP基因ggC/gAC基因型频率和gAC等位基因频率与对照组比较,差异无统计学意义(P>0.05)。CC组、dC组MbP基因ggC/gAC基因型频率和gAC等位基因频率均显著高于HCC组和对照组(P 0.05).GAC allele frequency was also highest prevalence (36.5%) in DC group than that in CC group and HCC group (P < 0.05).Conclusions The MBP codon 54 polymorphism is associated with the progression of liver cirrhosis and might not play an important role in the development of hepatocellular carcinoma.福建省漳州市科技计划资助项目(Z2010085
Prediction of Energy Resolution in the JUNO Experiment
International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors
