一种改进的Affymetrix外显子芯片原始数据分析方法

选择性剪切与许多人类疾病有关,基因以及基因异构体水平的表达分析是揭示选择性剪切变化情况的常用研究方法,Affymetrix外显子芯片为测量基因以及基因异构体表达水平提供了一种重要方法.由于外显子芯片基于杂交技术进行设计,实验数据中存在大量噪声,并且选择性剪切导致一个探针往往对应多个剪切异构体,这些给剪切异构体表达水平的计算带来了挑战.为此在先前提出的基于伽玛分布的概率模型(Gamma model for exon array data,GME)基础上,提出了iGME模型,进行基因以及异构体表达水平的计算.该模型利用已知的基因剪切异构体与探针的对应关系,模拟了条件独立的探针特性.通过采用真实实验数据进行验证,并与传统方法进行比较,结果表明iGME模型获得了较高的计算精度和更快的计算速度.     

硬盘保护系统研究

介绍了硬盘保护系统的主要功能和在计算机实验室的实际应用,阐述了硬盘分区规划、实验室机器IP地址的自动分配、硬盘保护系统的使用技巧。     

动态导航交通信息服务平台系统

随着通信技术、网络技术的快速发展,车辆导航技术正逐步向动态网络导航演进．本文通过分析目前动态导航交通信息服务平台存几个主要薄弱的技术问题,提出层次化的动态导航交通信息服务平台总体框架．该框架由数据供应层、动态导航信息服务层、通信层和用户层组成．本文研究平台的总体框架、软件体系结构、数据库的建立和发布协议等主要关键技术．建立实现了B／S与C／S混合模式的交通信息服务技术平台．     

建基岩体开挖前后的声波曲线特性及其成因分析

自然斜坡在形成演化过程中,受区域构造、河谷下切、地壳隆升以及外部营力(如风化卸荷)作用,加之岩体物理力学特性等多种地质环境因素影响,可在岸坡浅表层(由表及里)形成应力释放区、应力调整区和原始地应力稳定区;但在岸坡(建基)岩体人工开挖过程中,由于爆破扰动及岩体瞬间卸荷等影响,以上应力分区将重新波动调整。声波VP作为评价岩体质量优劣的一个重要指标,因具备简便、快速、准确、可靠等特点得到了广泛应用与发展。现就此以前期勘探平硐声波测试及开挖坝面岩体质量单孔声波检测结果为基础,讨论建基岩体开挖前后波速曲线的形态特征以及应力分区分布范围,并分析导致曲线形态的地质原因,以期为坝基开挖及后续声波监测工作等提供一定的科学依据。     

南水北调中线小南河串流片防洪水位计算

传统的多河流串流计算主要采用水库联调的方法,把串流的各条河流概化为静态水库,库水位水平且不考虑横向流动。为解决串流区水流的横向流动及水面线并不总像库水位一样水平的问题,采用二维非恒定流数学模型计算串流区洪水演进。通过概化地形、考虑入流、糙率、边界条件和水流的横向流动等因素,计算出了整个串流区域的水面线、水深、流速、出流等水力要素,并给出洪水演进模拟图,为确定河流与总干渠交叉建筑物的规模、总干渠左岸沿线水面线和对沿线村庄、农田的防洪影响提供了可靠的依据。     

Analysis of autocatalytic networks in biology

Autocatalytic networks, in particular the glycolytic pathway, constitute an important part of the cell metabolism. Changes in the concentration of metabolites and catalyzing enzymes during the lifetime of the cell can lead to perturbations from its nominal operating condition. We investigate the effects of such perturbations on stability properties, e.g., the extent of regions of attraction, of a particular family of autocatalytic network models. Numerical experiments demonstrate that systems that are robust with respect to perturbations in the parameter space have an easily “verifiable” (in terms of proof complexity) region of attraction properties. Motivated by the computational complexity of optimization-based formulations, we take a compositional approach and exploit a natural decomposition of the system, induced by the underlying biological structure, into a feedback interconnection of two input–output subsystems: a small subsystem with complicating nonlinearities and a large subsystem with simple dynamics. This decomposition simplifies the analysis of large pathways by assembling region of attraction certificates based on the input–output properties of the subsystems. It enables numerical as well as analytical construction of block-diagonal Lyapunov functions for a large family of autocatalytic pathways.     

A method for stochastic multiple criteria decision making based on dominance degrees

This paper proposes a method for solving the stochastic multiple criteria decision making (SMCDM) problem, where consequences of alternatives with respect to criteria are represented by random variables with probability distributions. Firstly, definitions and related analysis of dominance degree of one probability distribution over another are given. Then, by calculating the dominance degrees, the dominance degree matrix of alternative pairwise comparisons with respect to each criterion is built. Further, using PROMETHEE II method, an overall dominance degree matrix of alternative pairwise comparisons is constructed, and a net flow of each alternative is calculated. Based on the obtained net flows, a ranking of alternatives is determined. Finally, numerical examples for the three cases are given to illustrate the use of the proposed method.     

Univariate marginal distribution algorithm dynamics for a class of parametric functions with unitation constraints

In this paper, we introduce a mathematical model for analyzing the dynamics of the univariate marginal distribution algorithm (UMDA) for a class of parametric functions with isolated global optima. We prove a number of results that are used to model the evolution of UMDA probability distributions for this class of functions. We show that a theoretical analysis can assess the effect of the function parameters on the convergence and rate of convergence of UMDA. We also introduce for the first time a long string limit analysis of UMDA. Finally, we relate the results to ongoing research on the application of the estimation of distribution algorithms for problems with unitation constraints.     

Application of fuzzy sets to manufacturing/distribution planning decisions in supply chains

In the real-world manufacturing/distribution planning decision (MDPD) integration problems in supply chains, the environmental coefficients and parameters are normally imprecise due to incomplete and/or unavailable information. This work presents a fuzzy linear programming approach based on the possibility theory. It applies this approach to solve multi-product and multi-time period MDPD problems with imprecise goals and forecast demand by considering the time value of money of related operating cost categories. The proposed approach attempts to minimize the total manufacturing and distribution costs by considering the levels of inventory, subcontracting and backordering, the available machine capacity and labor levels at each source, forecast demand and available warehouse space at each destination. This study utilizes an industrial case study to demonstrate the feasibility of applying the proposed approach to practical MDPD problems. The primary contribution of this paper is a fuzzy mathematical programming methodology for solving the MDPD integration problems in uncertain environments.