Mean Centering (MC) is an important data preprocessing technique, which has a wide range of applications in mining, machine learning, and multivariate statistical analysis. When the set large, this process will be time-consuming. In paper, we propose efficient quantum MC algorithm based on block-encoding enables existing algorithms can get rid assumption that original been classically mean-cent...

In a clinical infection, multiplying and non-multiplying bacteria co-exist. Antibiotics kill multiplying bacteria, but they are very inefficient at killing non-multipliers which leads to slow or partial death of the total target population of microbes in an infected tissue. This prolongs the duration of therapy, increases the emergence of resistance and so contributes to the short life span of ...

In developed countries, coronary heart disease (CHD) is one of the most common causes of death after middle age, especially in males. Hypercholesterolemia and total-cholesterol/high-density-lipoprotein-cholesterol ratio are risk factors for CHD, the former is a major one for CHD.1) However, hyper-highdensity-lipoprotein-cholesterolemia is a negative risk factor for CHD1). Lipid metabolism proba...

Robot programs have to be tested systematically on a daily basis in order to improve robot performance in a controlled way. This requires automated suponly show up in some statistics. Statistical performance data are hard to collect manually. Furthermore, observation by humans is too time consuming and expensive. Systematic tests on a daily basis are port. We present a framework in which the de...

this exploratory study attempts to shed some light on the ethnocentric behaviours of young iranians in relation to the global consumer culture. it demonstrates why and how these individuals adhere to their own cultural resources and refrain from consuming the products or daily life practices of other cultures. the analysis of interpretive interviews with twelve participants in tehran and karaj ...