Background: The aim of the study was to discuss on the influential factors of the mode of classification of partition management in the emergency triage.Method: Retrospectively analyzing the effects of emergency triage of 156 cases who adopted the classification partition management mode during Oct 2014 to Oct 2015 in Xuzhou Central Hospital (Xuzhou, Jiangsu Province, China). They were divided into triage success group of 108 cases and triage failure group of 48 cases. Comparing the single factor analysis and multi-factor analysis, and selecting possible influential factors.Result: According to the single factor analysis, for the patients who came to the doctor in the daytime and working days, the higher education degree and compliance they had, the faster the back-show time of emergency inspect and check came back, the more comprehensive the body examination and disease history taking were done, the simpler the disease condition was, the higher triage success rate they received. Compared to the emergency observation time be-tween two groups, the difference was not statistically significant. According to the multi-factor analysis, the emergency check and examination back-show time, the comprehensive degree of body examination and disease history taking and the complexity degree of disease could be the independent risk factors for triage success.Conclusion: Simplify the examination procedure, improve the efficiency of back-show and acquire detail disease in-formation are important methods for the improvement of triage success.

In a linear optimization problem, objective function, coefficients matrix, and the right-hand side might be perturbed with distinct parameters independently. For such a problem, we are interested in finding the region that contains the origin, and the optimal partition remains invariant. A computational methodology is presented here for detecting the boundary of this region. The cases where perturbation occurs only in the coefficients matrix and right-hand side vector or the objective function are specified as special cases. The findings are illustrated with some simple examples.

This paper is about metric and partition dimension of a flower and a pencil graph. A metric dimension of G, denoted by dim(G), is the minimum cardinality of any resolving set of G. A partition dimension of G, denoted by pd(G), is the minimum number of sets in any resolving k-ordered partition for G. Here we give the exact value of the metric dimension of a flower graph fm×n for m ∈ {3, 4} and a pencil graph Pcm for any integer m ≥ 2. We also give the partition dimension of fm×n for m ∈ {3, 4, 5} and Pcm for any integer m ≥ 2.

Because the partition coefficient is one of the most important parameters affecting microsegregation, the aim of this research is to experimentally analyse the partition coefficient in Al-Mg alloys. In order to experimentally measure the partition coefficient, a series of quenching experiments during solidification were carried out. For this purpose binary Al-Mg alloys containing 6.7 and 10.2 wt-% Mg were melted and solidified in a DTA furnace capable of quenching samples during solidification. Cooling rates of 0.5 and 5 K/min were used and samples were quenched from predetermined temperatures during solidification. The fractions and compositions of the phases were measured by quantitative metallography and SEM/EDX analyses, respectively. These results were used to measure the experimental partition coefficients. The resultant partition coefficients were used to model the concentration profile in the primary phase and the results were compared with equilibrium calculations and experimental profiles. The results of calculations based on the experimental partition coefficients show better consistency with experimental concentration profiles than the equilibrium calculations.