考虑交通时间与设备转换时间的跨区域就医调度优化问题

在资源共享时代背景下,跨区域就医可以很好地解决患者日益增长的就医需求与医疗资源紧张的矛盾。本论文以医疗联盟为研究对象,在关键医疗资源共享的前提下,通过患者跨区域就医实现就医诊断延误最小化,以满足患者就医需求。本研究同时考虑了患者跨区域交通时间与基于患者诊断类型的设备转换时间,以最小化患者就医总延迟为目标,分配患者就诊医院及优化患者就诊/检查顺序。针对该问题,论文首次提出以最早交货期原则（EDD rule）为基础,以患者再分配为主导的EDD-ReAss1和EDD-ReAss2启发式算法,结合局部搜索算法以进一步提高就医调度方案的质量,缩短患者诊断/检查等待时间。实验结果表明,新启发式算法EDD-ReAss1和EDD-ReAss2算法性能显著好于EDD,SPT和LPT等调度规则;在较短运算时间内Swap局部搜索算法性能最优。     

Approximation of density functions by orthogonal series with grouped data

Summary Letg(x) andf(x) be continuous density function on (a, b) and let {ϕ_j} be a complete orthonormal sequence of functions onL ₂(g), which is the set of squared integrable functions weighted byg on (a, b). Suppose that over (a, b). Given a grouped sample of sizen fromf(x), the paper investigates the asymptotic properties of the restricted maximum likelihood estimator of density, obtained by setting all but the firstm of the ϑ_j’s equal to0. Practical suggestions are given for performing estimation via the use of Fourier and Legendre polynomial series. Research partially supported by: CNR grant, n. 93. 00837. CT10.     

Curved Chaotic Map Time Series Models and Their Stochastic Reversals

This paper considers two types of chaotic map time series models, including the well-known tent, logistic and binary-shift maps as special cases; these are called curved tent and curved binary families. Deterministic behaviour is investigated by invariant distributions, Lyapunov exponents, and by serial dependency. Stochastic time reversal of the families is shown to produce models which have a broader range of stochastic and chaotic properties than their deterministic counterparts. The marginal distributions may have concentrations and restricted supports and are shown to be a non-standard class of invariant distribution. Dependenc y is generally weaker with the reversed stochastic models. The work gives a broad statistical account of deterministic and stochastically reversed map models, such as are emerging in random number generation, communica tion systems and cryptography     

北宋皇帝葬礼探考(上)

自汉迄唐,皇帝死后葬期长短不一,北宋一改旧观,恢复了“天子七月而葬”的儒家礼制;山陵役夫情况,正史中讳莫如深,作者从《金石萃编》等书中找出了有力证据;对山陵耗费,文章特别注意到“间接花费”和“山陵维护”等为常人所忽略的问题;嗣君为什么大建山陵?本文亦有自己的见解。     

A hybrid ARIMA and support vector machines model in stock price forecasting

Traditionally, the autoregressive integrated moving average (ARIMA) model has been one of the most widely used linear models in time series forecasting. However, the ARIMA model cannot easily capture the nonlinear patterns. Support vector machines (SVMs), a novel neural network technique, have been successfully applied in solving nonlinear regression estimation problems. Therefore, this investigation proposes a hybrid methodology that exploits the unique strength of the ARIMA model and the SVMs model in forecasting stock prices problems. Real data sets of stock prices were used to examine the forecasting accuracy of the proposed model. The results of computational tests are very promising.     

基于提前期的多阶通用件库存模型

针对单个企业内部应用通用件的环境,在假定一个多阶生产系统的基础上,对应用通用件的库存量水平及其成本进行了分析,建立了多阶通用件库存模型,提出通过对采用通用件和不采用通用件的成本差异的比较,来决策多阶生产系统中在哪一阶工序采用通用件,并求解出每一阶工序优化的基本库存水平。     

马克思《历史学笔记》研究综述

虽然在《历史学笔记》中,马克思论述性的文字很少,但他以大量详实的材料和具体的实证的历史事实,记述了许多重要问题。马克思晚年以严谨的治学方法和不懈的追求精神为我们留下了180万字的《历史学笔记》这一思想丰富的伟大著述,这驳斥了一些人所谓的马克思晚年“慢性死亡说”。虽然内容庞杂,读起来相对费劲,但是这部著作价值很大。因此,笔者对近年来《历史学笔记》的研究情况作一个综述。这里以红旗出版社1992年版的《马克思历史学笔记》为文本依据。     

马克思自由思想视域下人工智能诠释的三个维度

人工智能技术的出现,表现出对自由的张力和限制,亟需以合理的视角审视人工智能,为人工智能的应用正本清源。事实上,马克思自由观为诠释人工智能提供了立体化呈现维度。以自由劳动之维观察,人工智能下的劳动消解传统分工,使劳动复归自觉,具有科学性和社会性动向;以自由时间之维观察,人工智能延伸了通往自由王国的自由时间;以自由个性之维观察,人工智能的终极指向是生成自由自觉的类存在,这三个诠释维度之间彼此有着密切的关联。在正视人工智能时,也要警醒人工智能技术在资本逻辑驱动下容易成为异化人和削弱人本质力量的工具,只有这样才能从人工智能的变革中挖掘人自由全面发展的价值。     

具有长期性特征的恐怖袭击与政府反恐多阶段重复博弈模型

我国反恐问题具有长期性特征,以Hausken和Zhuang的动态博弈模型作为阶段博弈,在此基础上构建了政府防御方与恐怖分子的多阶段重复博弈模型。通过数值分析方法,分别讨论了双方对于未来长远收益重视程度、恐怖分子培训与实施袭击成本、政府防御目标估值等因素对于恐怖分子的期望收益和恐怖袭击次数的影响。     

基于多属性局内决策的应急预案启动模型

通过对突发事件造成损失的连续性扩展和结束时间部分信息的扩展,基于多属性决策方法和集结损失函数,研究管理者面对突发事件应该何时启动应急预案的问题。在没有突发事件损失函数信息的条件下,利用局内决策理论与方法构建了决策者何时启动应急预案的启动模型,并利用竞争比说明了该方案的有效性。在此基础上,通过数值分析验证了启动方案的有效性。