Discrete wavelets transform for signal denoising in capillary electrophoresis with electrochemiluminescence detection

Discrete wavelets transform (DWT). was applied to noise on removal capillary electrophoresis-electrochemiluminescence (CE-ECL) electropherograms. Several typical wavelet transforms, including Haar, Daublets, Coiflets, and Symmlets, were evaluated. Four types of determining threshold methods, fixed form threshold, rigorous Stein's unbiased estimate of risk (rigorous SURE), heuristic SURE and minimax, combined with hard and soft thresholding methods were compared. The denoising study on synthetic signals showed that wave Symmlet 4 with a level decomposition of 5 and the thresholding method of heuristic SURE-hard provide the optimum denoising strategy. Using this strategy, the noise on CE-ECL electropherograms could be removed adequately. Compared with the Savitzky-Golay and Fourier transform denoising methods, DWT is an efficient method for noise removal with a better preservation of the shape of peaks.

任务分配问题的建模与求解

建立了极大极小任务分配问题的混合整数线性规划模型,提出一种矩阵作业解答,并与穷举解及混合整数线性规划解的计算复杂度进行了比较.理论分析和数值试验表明矩阵作业法对两类任务分配问题,极大极小和总体极小任务分配问题,有效地提供最优解.

非方阵指派问题的求解

本文将2类方阵指派问题——极大极小和总体极小指派问题——的矩阵作业解法推广到非方阵情形,即求解任务与人员数目不等的指派问题,且维持矩阵作业法的效率.假定m>n,则按本文行优先选取算法求解m×n非方阵指派问题的最大逻辑运算量为O(mn2),其效率通常与执行一轮覆盖的矩阵作业法相当。

风险偏好为什么是不稳定的？——后悔调节风险偏好的理论探索

Emotion is one of the most popular spots in recent decision making research, while regret is always being considered as the most relevant emotion with decision making. Current article firstly reviewed the literature of regret theory to date to profile the relation between regret and decision making under uncertainty through three mainlines: experienced regret, anticipated regret and regret orientation, respectively. And then, based on the theory of regret regulation raised by Zeelenberg recently, we came up with a theory of risk preference regulated by regret. Then three studies were conducted under the current framework, by using experiment, survey, and quasi experiment design. The major findings were below: In study 1, when playing ultimatum game, risk preference in decision making can be determined by experienced regret and anticipated regret of risk aversion, which made individual risk taking; In study 2, survey showed that risk orientation was negatively related with risk taking (health/safety, recreational and social); In study 3, when asked the Asian Disease Problem, risk preference can be determined by the coherence of the risk preference between the past decision and the current alternative. Individuals much more like alternative with the same risk preference of the past decision. A two way interaction was found, regret orientation, as a personality, was found as a moderator. Individuals with high regret orientation were more sensitive to the coherence of the risk preference than those with low regret orientation. Three studies provide fruitful evidences for the theory of risk preference regulated by regret in different prospective, show us the function of regret in decision making.